From 116764be379233cc23104e0a0db9715277f6445e Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Mon, 15 Dec 2025 18:27:21 -0700 Subject: [PATCH 1/9] feat: introduce ares agent configuration, docs, and enhanced task automation **Added:** - Example environment variable file for agent configuration, including API keys, data source URLs, and investigation settings - `.env.example` - Documentation for Grafana MCP integration and advanced log query guides for investigations - `docs/grafana_mcp_usage.md` - Detailed Taskfile usage guide for development and production workflows - `docs/taskfile_usage.md` - Test script and README for Windows attack indicator queries using Grafana MCP - `tests/test_grafana_mcp_windows.py` and `tests/README.md` - Python project lockfile for reproducible builds - `uv.lock` **Changed:** - Major rewrite of `README.md` for concise overview, usage, and configuration, focusing on quick start, key features, and platform integration - Taskfile expanded with ares-specific tasks, including agent run, investigation, configuration checks, report management, and MITRE testing - `pyproject.toml` now describes the actual "ares" project, with correct dependencies, dev tools, documentation extras, build settings, and CLI entry point - Refactored agent, tools, and main entrypoint for: - Support of enhanced Grafana MCP toolset for log/label/stat discovery - Defaulting all timestamps to timezone-aware UTC - Improved evidence and question deduplication logic - Propagation of Dreadnode platform organization/workspace config - Taskfile variable-based runtime configuration and secrets loading - Consistent duration formatting and report timestamps - Lint/type check and coverage configuration to match new source layout - Small improvements to error handling and typing in scripts and hooks **Removed:** - Old project template metadata from `pyproject.toml` - Outdated or redundant project setup and poetry config - Unused error messages and print statements from scripts for cleaner automation output --- .env.example | 67 + .hooks/check_pinned_hash_dependencies.py | 5 +- README.md | 168 +- Taskfile.yaml | 270 ++ docs/grafana_mcp_usage.md | 332 ++ docs/taskfile_usage.md | 444 +++ pyproject.toml | 216 +- scripts/generate_readme.py | 10 +- scripts/generate_release_notes.py | 23 +- src/__main__.py | 9 +- src/agent.py | 36 +- src/engines.py | 2 +- src/main.py | 21 +- src/mitre.py | 10 +- src/models.py | 4 +- src/report.py | 10 +- src/tools.py | 252 +- tests/README.md | 170 ++ tests/test_grafana_mcp_windows.py | 150 + uv.lock | 3536 ++++++++++++++++++++++ 20 files changed, 5504 insertions(+), 231 deletions(-) create mode 100644 .env.example create mode 100644 docs/grafana_mcp_usage.md create mode 100644 docs/taskfile_usage.md create mode 100644 tests/README.md create mode 100755 tests/test_grafana_mcp_windows.py create mode 100644 uv.lock diff --git a/.env.example b/.env.example new file mode 100644 index 00000000..a6b3e712 --- /dev/null +++ b/.env.example @@ -0,0 +1,67 @@ +# Ares SOC Investigation Agent - Environment Variables +# Copy this file to .env and fill in your values + +# ============================================================================ +# Grafana Configuration +# ============================================================================ + +# Grafana API key for alert polling and dashboard access +GRAFANA_API_KEY=your-grafana-api-key-here # pragma: allowlist secret + +# Grafana URL (can also be set via --grafana-url) +# GRAFANA_URL=http://localhost:3000 + +# ============================================================================ +# LLM Provider API Keys +# ============================================================================ + +# Anthropic API key for Claude models (recommended) +ANTHROPIC_API_KEY=your-anthropic-api-key-here # pragma: allowlist secret + +# OpenAI API key (alternative to Anthropic) +# OPENAI_API_KEY=your-openai-api-key-here # pragma: allowlist secret + +# ============================================================================ +# Dreadnode Platform Configuration +# ============================================================================ + +# Dreadnode Platform API token for observability and tracing +DREADNODE_API_KEY=your-dreadnode-api-key-here # pragma: allowlist secret + +# Dreadnode Platform URL (default: https://platform.dev.plundr.ai/) +# DREADNODE_SERVER=https://platform.dev.plundr.ai/ + +# Dreadnode organization name (default: ares) +# DREADNODE_ORGANIZATION=ares + +# Dreadnode workspace name (default: ares-protocol) +# DREADNODE_WORKSPACE=ares-protocol + +# Dreadnode project name (default: ares-soc) +# DREADNODE_PROJECT=ares-soc + +# ============================================================================ +# Data Source URLs (can also be set via command-line args) +# ============================================================================ + +# Loki URL for log queries +# LOKI_URL=http://localhost:3100 + +# Prometheus URL for metric queries +# PROMETHEUS_URL=http://localhost:9090 + +# ============================================================================ +# Investigation Configuration +# ============================================================================ + +# LLM model to use (default: claude-sonnet-4-20250514) +# MODEL=claude-sonnet-4-20250514 + +# Maximum agent steps per investigation (default: 150) +# MAX_STEPS=150 + +# Seconds between alert polling cycles (default: 30) +# POLL_INTERVAL=30 + +# Directory for markdown investigation reports (default: reports) +# REPORT_DIR=./reports diff --git a/.hooks/check_pinned_hash_dependencies.py b/.hooks/check_pinned_hash_dependencies.py index 911ae363..0977241e 100755 --- a/.hooks/check_pinned_hash_dependencies.py +++ b/.hooks/check_pinned_hash_dependencies.py @@ -2,7 +2,6 @@ import re import sys from pathlib import Path -from typing import List, Tuple class GitHubActionChecker: @@ -30,9 +29,9 @@ def format_terminal_link(self, file_path: str, line_number: int) -> str: """ return f"{file_path}:{line_number}" - def get_line_numbers(self, content: str, pattern: re.Pattern) -> List[Tuple[str, int]]: + def get_line_numbers(self, content: str, pattern: re.Pattern) -> list[tuple[str, int]]: """Find matches with their line numbers.""" - matches: List[Tuple[str, int]] = [] + matches: list[tuple[str, int]] = [] matches.extend( (match.group(0), i) for i, line in enumerate(content.splitlines(), 1) diff --git a/README.md b/README.md index cde6674b..35f8925d 100644 --- a/README.md +++ b/README.md @@ -10,118 +10,68 @@ -
+[![Pre-Commit](https://github.com/dreadnode/python-template/actions/workflows/pre-commit.yaml/badge.svg)](https://github.com/dreadnode/python-template/actions/workflows/pre-commit.yaml) +[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) -**Question-Driven Security Investigation Automation** +Autonomous security investigation agent that polls Grafana for alerts, queries +Loki/Prometheus, and generates investigation reports with MITRE ATT&CK +mappings. -_Elevate from IOCs to TTPs with AI-powered investigation_ +## What It Does -
+- Polls Grafana for firing alerts +- Autonomously investigates Windows security events +- Queries Loki for logs (Event IDs 4624, 4662, etc.) +- Maps findings to MITRE ATT&CK techniques +- Generates markdown reports with timeline and recommendations +- Detects DCSync, authentication patterns, and attack indicators -## Overview - -Ares is an autonomous Security Operations Center (SOC) investigation agent that -transforms security alerts into actionable threat intelligence. -Using the [Dreadnode Agent SDK](https://github.com/dreadnode/agent-sdk), Ares -conducts systematic, question-driven investigations guided by two complementary -engines: - -1. **MITRE ATT&CK Navigator**: Maps evidence to techniques, predicts follow-on - attacks, and identifies tactical gaps -2. **Pyramid of Pain Climber**: Elevates analysis from trivial indicators (IPs, - hashes) to meaningful TTPs - -## Key Features - -- **Autonomous Investigation**: Polls Grafana for alerts and investigates - them end-to-end without human intervention -- **Question-Driven Analysis**: Uses AI to generate and prioritize - investigative questions based on evidence -- **Parallel Query Execution**: Maximizes efficiency by executing independent - queries simultaneously -- **MITRE ATT&CK Integration**: Live integration with MITRE ATT&CK STIX/TAXII - for technique mapping and relationships -- **Pyramid of Pain Framework**: Systematically elevates understanding from - trivial IOCs to behavioral TTPs -- **Multi-Stage Workflow**: Structured investigation through - Triage → Causation → Lateral Movement → Synthesis -- **Rich Observability**: Queries Loki (logs), Prometheus (metrics), and - Grafana (dashboards) -- **Detailed Reports**: Generates markdown investigation reports with - timelines, MITRE mappings, and recommendations - -## Architecture +## Quick Start -```text -┌─────────────────┐ -│ Grafana Alerts │ -└────────┬────────┘ - │ - ▼ -┌─────────────────────────────────────────┐ -│ Investigation Orchestrator │ -│ (Dreadnode Agent SDK) │ -└─────────────┬───────────────────────────┘ - │ - ┌───────┴───────┐ - │ │ - ▼ ▼ -┌─────────────┐ ┌─────────────────┐ -│ Question │ │ Investigation │ -│ Engines │ │ Tools │ -├─────────────┤ ├─────────────────┤ -│ • MITRE │ │ • Loki Query │ -│ Navigator │ │ • Prometheus │ -│ • Pyramid │ │ • Grafana │ -│ Climber │ │ • State Mgmt │ -└─────────────┘ └─────────────────┘ - │ - ▼ - ┌───────────────┐ - │ Markdown │ - │ Reports │ - └───────────────┘ -``` +```bash +# Install +git clone https://github.com/dreadnode/ares.git && cd ares +uv venv && source .venv/bin/activate +uv pip install -e . -## Installation +# Configure API keys in 1Password: +# - "Dreadnode Dev Platform" -> api-key +# - "Grafana" -> api-key +# - "Anthropic" -> api-key -### Prerequisites +# Check config +task ares:config:check -- Python 3.11+ -- Access to Grafana, Loki, and Prometheus instances -- API keys for: - - Grafana (for alert polling) - - OpenAI/Anthropic (for LLM inference) - - Dreadnode Platform (optional, for observability) +# Run +task ares:run +``` + +## Usage -### Setup +### Using Taskfile (Recommended) -1. Clone the repository: +The easiest way to run Ares is using the provided Taskfile with 1Password integration: - ```bash - git clone https://github.com/dreadnode/ares.git - cd ares - ``` +```bash +# Check configuration and 1Password access +task ares:config:check -2. Install dependencies using `uv`: +# Run Ares in poll mode (retrieves API keys from 1Password) +task ares:run - ```bash - uv venv - source .venv/bin/activate # On Windows: .venv\Scripts\activate - uv pip install -e . - ``` +# Investigate a specific alert +task ares:investigate ALERT=alert.json -3. Configure environment variables: +# View investigation reports +task ares:reports:list +task ares:reports:latest +``` - ```bash - export GRAFANA_API_KEY="your-grafana-api-key" # pragma: allowlist secret - export ANTHROPIC_API_KEY="your-anthropic-api-key" # pragma: allowlist secret - export DREADNODE_API_KEY="your-dreadnode-api-key" # pragma: allowlist secret - ``` +See [Taskfile Usage Guide](docs/taskfile_usage.md) for detailed documentation. -## Usage +### Direct CLI Usage -### Poll Mode (Continuous) +#### Poll Mode (Continuous) Run Ares in continuous polling mode to automatically investigate alerts: @@ -135,7 +85,7 @@ uv run python -m ares \ --report-dir ./reports ``` -### Single Alert Investigation +#### Single Alert Investigation Investigate a specific alert by providing it as JSON: @@ -282,7 +232,8 @@ pytest --cov=src tests/ ### Supported LLM Models -Ares uses [litellm](https://github.com/BerriAI/litellm) format for model selection: +Ares uses [litellm](https://github.com/BerriAI/litellm) format for model +selection: - `claude-sonnet-4-20250514` (recommended) - `gpt-4o` @@ -291,13 +242,34 @@ Ares uses [litellm](https://github.com/BerriAI/litellm) format for model selecti ## Observability -Ares integrates with the Dreadnode Platform for comprehensive observability: +Ares integrates with the Dreadnode Platform at + for comprehensive observability: - **Metrics**: Evidence count, pyramid levels, tool usage - **Traces**: Full investigation execution traces - **Logs**: Structured logs with context - **Artifacts**: Evidence items, questions, and reports +### Configuring the Platform + +The Dreadnode platform can be configured via command-line arguments or +environment variables: + +```bash +# Via command line +uv run python -m ares \ + --dn-args.server https://platform.dev.plundr.ai/ \ + --dn-args.token your-api-token \ + --dn-args.organization ares \ + --dn-args.workspace ares-protocol \ + --dn-args.project ares-soc + +# Via environment variable +export DREADNODE_API_KEY="your-dreadnode-api-key" # pragma: allowlist secret +``` + +The default platform URL is `https://platform.dev.plundr.ai/` + ## Contributing Contributions are welcome! Please: diff --git a/Taskfile.yaml b/Taskfile.yaml index 8b453180..61ed6954 100644 --- a/Taskfile.yaml +++ b/Taskfile.yaml @@ -1,13 +1,28 @@ --- +# yaml-language-server: $schema=https://taskfile.dev/schema.json version: "3" includes: + aws: "https://raw.githubusercontent.com/CowDogMoo/taskfile-templates/main/aws/Taskfile.yaml" github: "https://raw.githubusercontent.com/CowDogMoo/taskfile-templates/main/github/Taskfile.yaml" pre-commit: "https://raw.githubusercontent.com/CowDogMoo/taskfile-templates/main/pre-commit/Taskfile.yaml" renovate: "https://raw.githubusercontent.com/CowDogMoo/taskfile-templates/main/renovate/Taskfile.yaml" + secrets: "https://raw.githubusercontent.com/CowDogMoo/taskfile-templates/main/secrets/Taskfile.yaml" # pragma: allowlist secret vars: API_DIR: "." + # Ares configuration + MODEL: '{{.MODEL | default "claude-sonnet-4-20250514"}}' + GRAFANA_URL: '{{.GRAFANA_URL | default "https://grafana.dev.plundr.ai"}}' + LOKI_URL: '{{.LOKI_URL | default "http://localhost:3100"}}' + PROMETHEUS_URL: '{{.PROMETHEUS_URL | default "http://localhost:9090"}}' + POLL_INTERVAL: '{{.POLL_INTERVAL | default "30"}}' + MAX_STEPS: '{{.MAX_STEPS | default "150"}}' + REPORT_DIR: '{{.REPORT_DIR | default "./reports"}}' + DREADNODE_SERVER: '{{.DREADNODE_SERVER | default "https://platform.dev.plundr.ai/"}}' + DREADNODE_ORGANIZATION: '{{.DREADNODE_ORGANIZATION | default "ares"}}' + DREADNODE_WORKSPACE: '{{.DREADNODE_WORKSPACE | default "ares-protocol"}}' + DREADNODE_PROJECT: '{{.DREADNODE_PROJECT | default "ares-soc"}}' tasks: default: @@ -129,3 +144,258 @@ tasks: desc: Create a release on GitHub cmds: - task: github:create-release + + # =========================================================================== + # Ares SOC Agent Tasks + # =========================================================================== + + ares:run: + desc: Run Ares in poll mode (retrieves API keys from 1Password) + cmds: + - | + echo "Starting Ares SOC Investigation Agent..." + echo "Platform: {{.DREADNODE_SERVER}}" + echo "Model: {{.MODEL}}" + echo "" + + # Get API keys from 1Password + export DREADNODE_API_KEY=$(op item get "Dreadnode Dev Platform" --fields api-key --reveal) + export GRAFANA_API_KEY=$(op item get "Ares Grafana MCP" --fields grafana-token --reveal 2>/dev/null || echo "") + export ANTHROPIC_API_KEY=$(op item get "claude.ai" --fields dreadnode-api-key --reveal 2>/dev/null || echo "") + + # Run Ares using uv + uv run python -m src \ + --args.model {{.MODEL}} \ + --args.grafana-url {{.GRAFANA_URL}} \ + --args.loki-url {{.LOKI_URL}} \ + --args.prometheus-url {{.PROMETHEUS_URL}} \ + --args.poll-interval {{.POLL_INTERVAL}} \ + --args.max-steps {{.MAX_STEPS}} \ + --args.report-dir {{.REPORT_DIR}} \ + --dn-args.server {{.DREADNODE_SERVER}} \ + --dn-args.token "$DREADNODE_API_KEY" \ + --dn-args.organization {{.DREADNODE_ORGANIZATION}} \ + --dn-args.workspace {{.DREADNODE_WORKSPACE}} \ + --dn-args.project {{.DREADNODE_PROJECT}} + + ares:run:local: + desc: Run Ares using local environment variables (no 1Password) + cmds: + - | + echo "Starting Ares SOC Investigation Agent (using .env)..." + echo "Platform: {{.DREADNODE_SERVER}}" + echo "Model: {{.MODEL}}" + echo "" + + # Check for .env file + if [ ! -f .env ]; then + echo "⚠️ Warning: .env file not found. Copy .env.example to .env and configure." + exit 1 + fi + + # Load .env + set -a + . ./.env + set +a + + # Run Ares using uv + uv run python -m src \ + --args.model {{.MODEL}} \ + --args.grafana-url {{.GRAFANA_URL}} \ + --args.loki-url {{.LOKI_URL}} \ + --args.prometheus-url {{.PROMETHEUS_URL}} \ + --args.poll-interval {{.POLL_INTERVAL}} \ + --args.max-steps {{.MAX_STEPS}} \ + --args.report-dir {{.REPORT_DIR}} \ + --dn-args.server {{.DREADNODE_SERVER}} \ + --dn-args.organization {{.DREADNODE_ORGANIZATION}} \ + --dn-args.workspace {{.DREADNODE_WORKSPACE}} \ + --dn-args.project {{.DREADNODE_PROJECT}} + + ares:investigate: + desc: "Investigate a specific alert from JSON file (usage: task ares:investigate ALERT=alert.json)" + vars: + ALERT: '{{.ALERT | default ""}}' + preconditions: + - sh: test -n "{{.ALERT}}" + msg: "ALERT variable is required. Usage: task ares:investigate ALERT=alert.json" + - sh: test -f "{{.ALERT}}" + msg: "Alert file not found: {{.ALERT}}" + cmds: + - | + echo "Investigating alert from: {{.ALERT}}" + echo "" + + # Get API keys from 1Password + export DREADNODE_API_KEY=$(op item get "Dreadnode Dev Platform" --fields api-key --reveal) + export GRAFANA_API_KEY=$(op item get "Ares Grafana MCP" --fields grafana-token --reveal 2>/dev/null || echo "") + export ANTHROPIC_API_KEY=$(op item get "claude.ai" --fields dreadnode-api-key --reveal 2>/dev/null || echo "") + + # Run investigation + uv run python -m src investigate-alert {{.ALERT}} \ + --args.model {{.MODEL}} \ + --args.grafana-url {{.GRAFANA_URL}} \ + --args.loki-url {{.LOKI_URL}} \ + --args.prometheus-url {{.PROMETHEUS_URL}} \ + --args.max-steps {{.MAX_STEPS}} \ + --args.report-dir {{.REPORT_DIR}} \ + --dn-args.server {{.DREADNODE_SERVER}} \ + --dn-args.token "$DREADNODE_API_KEY" \ + --dn-args.organization {{.DREADNODE_ORGANIZATION}} \ + --dn-args.workspace {{.DREADNODE_WORKSPACE}} \ + --dn-args.project {{.DREADNODE_PROJECT}} + + ares:config:check: + desc: Check configuration and API key access + cmds: + - | + echo "Checking Ares configuration..." + echo "" + echo "Environment:" + echo " Python: $(python --version)" + echo " uv: $(uv --version 2>/dev/null || echo 'not installed')" + echo "" + echo "Configuration:" + echo " Platform: {{.DREADNODE_SERVER}}" + echo " Project: {{.DREADNODE_PROJECT}}" + echo " Model: {{.MODEL}}" + echo " Grafana: {{.GRAFANA_URL}}" + echo " Loki: {{.LOKI_URL}}" + echo " Prometheus: {{.PROMETHEUS_URL}}" + echo "" + echo "Checking 1Password CLI access..." + + # Check if op is installed + if ! command -v op >/dev/null 2>&1; then + echo " ❌ 1Password CLI (op) not installed" + echo "" + echo "Install from: https://developer.1password.com/docs/cli/get-started/" + exit 1 + fi + + echo " ✅ 1Password CLI installed: $(op --version)" + echo "" + echo "Checking 1Password items..." + + # Check Dreadnode API key + if op item get "Dreadnode Dev Platform" --fields api-key --reveal >/dev/null 2>&1; then + echo " ✅ Dreadnode API key accessible" + else + echo " ❌ Dreadnode API key not found in 1Password" + echo " Item: 'Dreadnode Dev Platform'" + echo " Field: 'api-key'" + fi + + # Check Grafana API key + if op item get "Ares Grafana MCP" --fields grafana-token --reveal >/dev/null 2>&1; then + echo " ✅ Grafana API key accessible" + else + echo " ⚠️ Grafana API key not found in 1Password" + echo " Item: 'Ares Grafana MCP'" + echo " Field: 'grafana-token'" + fi + + # Check Anthropic API key + if op item get "claude.ai" --fields dreadnode-api-key --reveal >/dev/null 2>&1; then + echo " ✅ Anthropic API key accessible" + else + echo " ⚠️ Anthropic API key not found in 1Password" + echo " Item: 'claude.ai'" + echo " Field: 'dreadnode-api-key'" + fi + + echo "" + echo "Configuration check complete" + + ares:config:show: + desc: Show current configuration (without secrets) + cmds: + - | + echo "Ares Configuration:" + echo "====================" + echo "Platform Settings:" + echo " Server: {{.DREADNODE_SERVER}}" + echo " Project: {{.DREADNODE_PROJECT}}" + echo "" + echo "Agent Settings:" + echo " Model: {{.MODEL}}" + echo " Max Steps: {{.MAX_STEPS}}" + echo " Poll Interval: {{.POLL_INTERVAL}}s" + echo "" + echo "Data Sources:" + echo " Grafana: {{.GRAFANA_URL}}" + echo " Loki: {{.LOKI_URL}}" + echo " Prometheus: {{.PROMETHEUS_URL}}" + echo "" + echo "Output:" + echo " Reports: {{.REPORT_DIR}}" + + ares:reports:list: + desc: List all investigation reports + cmds: + - | + echo "Investigation Reports:" + echo "======================" + if [ -d {{.REPORT_DIR}} ]; then + ls -lht {{.REPORT_DIR}}/*.md 2>/dev/null || echo "No reports found" + else + echo "Report directory not found: {{.REPORT_DIR}}" + fi + + ares:reports:latest: + desc: Show the latest investigation report + cmds: + - | + LATEST=$(ls -t {{.REPORT_DIR}}/*.md 2>/dev/null | head -1) + if [ -n "$LATEST" ]; then + echo "Latest report: $LATEST" + echo "====================" + cat "$LATEST" + else + echo "No reports found in {{.REPORT_DIR}}" + fi + + ares:reports:clean: + desc: Remove all investigation reports + cmds: + - | + read -p "Delete all reports in {{.REPORT_DIR}}? (y/N) " -n 1 -r + echo + if [[ $REPLY =~ ^[Yy]$ ]]; then + rm -rf {{.REPORT_DIR}}/*.md + echo "✅ Reports cleaned" + fi + + ares:version: + desc: Show Ares version information + cmds: + - uv run python -m ares version + + ares:mitre:test: + desc: Test MITRE ATT&CK data loading + cmds: + - | + uv run python -c " + import asyncio + from src.mitre import MITREAttackClient + + async def test(): + client = MITREAttackClient() + await client.load() + print(f'✅ Loaded {len(client._techniques)} techniques') + print(f'✅ Loaded {len(client._tactics)} tactics') + + # Show a sample technique + sample = list(client._techniques.values())[0] + print(f'\nSample technique:') + print(f' ID: {sample.id}') + print(f' Name: {sample.name}') + print(f' Tactic: {sample.tactic}') + + asyncio.run(test()) + " + + ares:test:windows: + desc: Test Grafana MCP integration for Windows attack queries + cmds: + - python tests/test_grafana_mcp_windows.py diff --git a/docs/grafana_mcp_usage.md b/docs/grafana_mcp_usage.md new file mode 100644 index 00000000..e88667ac --- /dev/null +++ b/docs/grafana_mcp_usage.md @@ -0,0 +1,332 @@ +# Grafana MCP Integration for Ares + +This document describes how the Ares SOC agent uses Grafana MCP (Model Context +Protocol) tools to query Loki datasources and investigate security incidents. + +## Overview + +Ares now includes a `GrafanaMCPTools` toolset that provides guide methods to +help the agent use the native `mcp__grafana__*` tools available in the +environment. These tools enable: + +- Label discovery (finding available labels and their values) +- Log volume statistics +- LogQL queries for searching logs +- Pre-built queries for common attack indicators + +## Available Tools + +### 1. Label Discovery + +#### list_loki_label_names_guide() + +Returns instructions for listing all available label names in Loki. + +**Example Usage by Agent:** + +```python +# Agent calls the guide +guide = list_loki_label_names_guide() + +# Then uses the native MCP tool +mcp__grafana__list_loki_label_names( + datasourceUid="loki", + startRfc3339="2024-01-15T00:00:00Z", # optional + endRfc3339="2024-01-15T23:59:59Z" # optional +) +``` + +**Returns:** List of label names like +`["environment", "deployment", "host", "job", "namespace"]` + +#### list_loki_label_values_guide(label_name) + +Returns instructions for listing all values for a specific label. + +**Example Usage by Agent:** + +```python +# Agent calls the guide with label name +guide = list_loki_label_values_guide("environment") + +# Then uses the native MCP tool +mcp__grafana__list_loki_label_values( + datasourceUid="loki", + labelName="environment", + startRfc3339="2024-01-15T00:00:00Z", # optional + endRfc3339="2024-01-15T23:59:59Z" # optional +) +``` + +**Returns:** List of values like `["staging", "production", "dev"]` + +### 2. Log Statistics + +#### query_loki_stats_guide(logql_selector) + +Returns instructions for getting statistics about log streams. + +**Example Usage by Agent:** + +```python +# Agent calls the guide with LogQL selector +guide = query_loki_stats_guide('{environment="staging"}') + +# Then uses the native MCP tool +mcp__grafana__query_loki_stats( + datasourceUid="loki", + logql='{environment="staging"}', + startRfc3339="2024-01-15T00:00:00Z", # optional + endRfc3339="2024-01-15T23:59:59Z" # optional +) +``` + +**Returns:** + +```json +{ + "streams": 42, + "chunks": 1500, + "entries": 50000, + "bytes": 25000000 +} +``` + +### 3. Log Queries + +#### query_loki_logs_guide(logql, limit) + +Returns instructions for querying Loki logs with full LogQL support. + +**Example Usage by Agent:** + +```python +# Agent calls the guide +guide = query_loki_logs_guide('{environment="staging"} |~ "error"', limit=10) + +# Then uses the native MCP tool +mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} |~ "error"', + limit=10, + direction="backward", # newest first + startRfc3339="2024-01-15T00:00:00Z", # optional + endRfc3339="2024-01-15T23:59:59Z" # optional +) +``` + +**Returns:** List of log entries with timestamps, labels, and log lines + +### 4. Attack Indicator Searches + +#### search_attack_indicators_guide(environment) + +Returns pre-built LogQL queries for common attack indicators. + +**Example Usage by Agent:** + +```python +# Agent calls the guide +guide = search_attack_indicators_guide("staging") +``` + +**Returns queries for:** + +1. General attack indicators (exploit, payload, shell, mimikatz, impacket, etc.) +2. DCSync activity (Event ID 4662) +3. Authentication events (Event ID 4624) +4. Failed authentication (Event ID 4625) +5. PowerShell activity +6. Suspicious network activity + +### 5. Environment Discovery + +#### discover_environment_guide(environment) + +Returns a complete step-by-step guide for discovering environment structure. + +**Example Usage by Agent:** + +```python +# Agent calls the guide +guide = discover_environment_guide("staging") +``` + +**Returns a workflow for:** + +1. Listing available labels +2. Getting values for important labels (environment, deployment, host, job, namespace) +3. Checking data volume +4. Querying sample logs + +## Integration with Investigation Workflow + +The agent can use these tools during investigation stages: + +### Stage 1: TRIAGE + +```python +# Discover environment structure +discover_environment_guide("staging") + +# List available labels +mcp__grafana__list_loki_label_names(datasourceUid="loki") + +# Get label values +mcp__grafana__list_loki_label_values(datasourceUid="loki", labelName="environment") +``` + +### Stage 2: CAUSATION + +```python +# Check log volume first +mcp__grafana__query_loki_stats( + datasourceUid="loki", + logql='{environment="staging"}' +) + +# Query logs around alert time +mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} |~ "(?i)error"', + limit=10, + direction="backward" +) +``` + +### Stage 3: LATERAL + +```python +# Search for attack indicators +mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} |~ "(?i)(exploit|payload|shell|mimikatz)"', + limit=10 +) + +# Check for DCSync activity +mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} | json | event_id="4662"', + limit=5 +) + +# Check authentication events +mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} | json | event_id="4624"', + limit=5 +) +``` + +## Example Investigation Flow + +```python +# 1. Discover environment +agent.call("discover_environment_guide", environment="staging") + +# 2. List labels +labels = mcp__grafana__list_loki_label_names(datasourceUid="loki") + +# 3. Get label values for important labels +for label in ["environment", "deployment", "host", "job"]: + values = mcp__grafana__list_loki_label_values( + datasourceUid="loki", + labelName=label + ) + # Record evidence for each value found + +# 4. Check log volume +stats = mcp__grafana__query_loki_stats( + datasourceUid="loki", + logql='{environment="staging"}' +) + +# 5. Search for attack indicators +indicators = mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} |~ "(?i)(exploit|payload|shell)"', + limit=10 +) + +# 6. Check specific Windows events +dcsync = mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} | json | event_id="4662"', + limit=5 +) + +auth = mcp__grafana__query_loki_logs( + datasourceUid="loki", + logql='{environment="staging"} | json | event_id="4624"', + limit=5 +) +``` + +## System Instructions Update + +The agent's system instructions now include: + +```text +## Grafana MCP Tools (Enhanced Querying) + +You have access to enhanced Grafana MCP tools for more powerful querying: + +**Discovery Phase:** +1. list_loki_label_names() - Discover available labels +2. list_loki_label_values(label_name) - Get values for specific labels +3. discover_environment(environment) - Get complete environment structure + +**Investigation Phase:** +1. query_loki_stats(logql) - Check data volume BEFORE querying +2. query_loki_logs(logql, limit, direction) - Query logs with full LogQL support +3. search_attack_indicators(environment) - Pre-built attack indicator searches +4. check_dcsync_activity(environment) - Look for DCSync (Event ID 4662) +5. check_authentication_events(environment) - Check auth events (Event ID 4624) + +**When to use MCP vs Direct Loki:** +- Use MCP tools for: label discovery, stats checks, and convenience methods +- Use direct LokiTools for: custom queries with specific time windows +- Both are valid - choose based on the task +``` + +## Configuration + +The GrafanaMCPTools toolset is configured with: + +```python +grafana_mcp_tools = GrafanaMCPTools(datasource_uid="loki") +``` + +The datasource UID can be changed to target different Loki datasources: + +```python +grafana_mcp_tools = GrafanaMCPTools(datasource_uid="custom-loki-ds") +``` + +## Benefits + +1. **Guided Discovery**: The guide tools help the agent understand how to use + the native MCP tools correctly +2. **Pre-built Queries**: Common security queries are provided for faster + investigation +3. **Best Practices**: The guides include best practices like checking stats + before querying logs +4. **Flexibility**: The agent can use both MCP tools and direct Loki API calls + as needed +5. **Integration**: Seamlessly integrates with the existing investigation + workflow + +## Next Steps + +To use these capabilities: + +1. Ensure the Grafana MCP server is configured and running +2. Set the `GRAFANA_URL` and `GRAFANA_API_KEY` environment variables +3. Run an investigation: `ares investigate` +4. The agent will automatically have access to the GrafanaMCPTools + +For more information, see: + +- [Grafana MCP Setup Guide](grafana_mcp_setup.md) +- [Ares Documentation](../README.md) diff --git a/docs/taskfile_usage.md b/docs/taskfile_usage.md new file mode 100644 index 00000000..6cc0c106 --- /dev/null +++ b/docs/taskfile_usage.md @@ -0,0 +1,444 @@ +# Taskfile Usage for Ares + +This document describes how to use the Taskfile to run and manage the Ares SOC +Investigation Agent. + +## Prerequisites + +1. **Task**: Install from https://taskfile.dev/installation/ +2. **1Password CLI**: Install from https://developer.1password.com/docs/cli/get-started/ +3. **uv**: Python package manager (installed via the setup process) + +## Quick Start + +### 1. Trust Remote Taskfiles (First Time Only) + +The first time you run tasks, you'll need to trust the remote taskfiles: + +```bash +task --trust +``` + +### 2. Check Configuration + +Verify your configuration and 1Password access: + +```bash +task ares:config:check +``` + +This will check: + +- Python and uv installation +- Dreadnode platform configuration +- 1Password CLI access +- API key availability in 1Password + +### 3. Run Ares + +Start Ares in poll mode (automatically polls Grafana for alerts): + +```bash +task ares:run +``` + +This will: + +1. Retrieve API keys from 1Password: + - `Dreadnode Dev Platform` → `api-key` field + - `Grafana` → `api-key` field + - `Anthropic` → `api-key` field +2. Start Ares with the configured platform (https://platform.dev.plundr.ai/) +3. Poll for alerts every 30 seconds (configurable) + +## Available Tasks + +### Running Ares + +#### `task ares:run` + +Run Ares in poll mode with 1Password API keys. + +**Example:** + +```bash +# Use default configuration +task ares:run + +# Custom Grafana URL +task ares:run GRAFANA_URL=http://grafana.example.com:3000 + +# Custom model +task ares:run MODEL=gpt-4o + +# Custom poll interval (60 seconds) +task ares:run POLL_INTERVAL=60 + +# Multiple overrides +task ares:run \ + GRAFANA_URL=http://grafana.example.com:3000 \ + LOKI_URL=http://loki.example.com:3100 \ + MODEL=claude-sonnet-4-20250514 \ + POLL_INTERVAL=60 +``` + +#### `task ares:run:local` + +Run Ares using `.env` file instead of 1Password. + +**Example:** + +```bash +# Create .env file first +cp .env.example .env +# Edit .env with your API keys + +# Run with .env +task ares:run:local +``` + +#### `task ares:investigate` + +Investigate a specific alert from a JSON file. + +**Example:** + +```bash +# Create alert.json with alert data +cat > alert.json < suspicious-activity.json <> ~/.bashrc +source ~/.bashrc +``` + +## Additional Tasks + +The Taskfile also includes standard development tasks: + +- `task init` - Initialize project +- `task clean` - Clean Python artifacts +- `task mypy` - Run type checking +- `task ruff` - Run linting +- `task pytest` - Run tests +- `task pre-commit:run-hooks` - Run pre-commit hooks + +For a complete list of available tasks: + +```bash +task --list +``` diff --git a/pyproject.toml b/pyproject.toml index 9a89efbd..50d0ec01 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,93 +1,123 @@ [project] -name = "python-template" +name = "ares" version = "0.1.0" -description = "A Python project template" -requires-python = ">=3.9" +description = "Autonomous SOC Investigation Agent" +authors = [{ name = "Dreadnode", email = "hello@dreadnode.io" }] +readme = "README.md" +license = { file = "LICENSE" } +requires-python = ">=3.10,<3.14" +classifiers = [ + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "License :: OSI Approved :: Apache Software License", + "Operating System :: OS Independent", +] + dependencies = [ + "dreadnode>=1.17.0", + "cyclopts>=4.2.0", + "loguru>=0.7.3", + "httpx>=0.28.0,<1.0.0", +] + +[project.optional-dependencies] +docs = [ "mkdocs>=1.6.1", "mkdocs-material>=9.6.1", "mkdocs-section-index>=0.3.8", - "tomli>=2.0.1", + "mkdocstrings>=1.0.0", + "mkdocstrings-python>=2.0.0", + "pymdown-extensions>=10.8.1", + "pygments>=2.18.0", ] -[project.optional-dependencies] +[dependency-groups] dev = [ - "pre-commit>=4.1.0", - "pytest>=8.0.0", + "mypy>=1.8.0,<2.0.0", + "ruff>=0.11.6,<1.0.0", + "pre-commit>=4.0.0,<5.0.0", + "pytest>=8.3.3,<9.0.0", + "pytest-asyncio>=1.3.0,<1.4.0", "pytest-cov>=4.1.0", - "pytest-randomly>=3.15.0", - "tomli>=2.0.1", + "types-requests>=2.32.0.20250306", ] +[project.scripts] +ares = "src.__main__:run" + +[tool.poetry.plugins."pipx.run"] +ares = 'src.__main__:run' + +[project.urls] +Homepage = "https://github.com/dreadnode/ares" +Repository = "https://github.com/dreadnode/ares" +Documentation = "https://docs.dreadnode.io" + +# Build + [build-system] -requires = ["setuptools>=42", "wheel"] -build-backend = "setuptools.build_meta" +requires = ["hatchling"] +build-backend = "hatchling.build" -[tool.bandit] -exclude_dirs = ["tests"] -skips = ["B101"] +[tool.hatch.build.targets.wheel] +packages = ["src"] -[tool.poetry] -name = "python-template" -version = "0.1.0" -description = "A Python project template" -authors = ["Your Name "] - -[tool.poetry.dependencies] -python = ">=3.14,<3.15" - -[tool.poetry.group.docs.dependencies] -mkdocs = "^1.6.1" -mkdocs-material = { extras = ["imaging"], version = "^9.5.20" } -mkdocstrings = "^1.0.0" -mkdocstrings-python = "^2.0.0" -mkdocs-section-index = "^0.3.9" -pymdown-extensions = "^10.8.1" -pygments = "^2.18.0" - -[tool.poetry.group.dev.dependencies] -pre-commit = "^4.1.0" -pytest = "^9.0.0" -pytest-cov = "^7.0.0" -pytest-randomly = "^4.0.0" -tomli = "^2.0.1" -rigging = "^3.0.0" - -[tool.poetry.scripts] -# Define CLI entry points here, e.g.: -# mycommand = "my_project.module:function" +[tool.hatch.build.targets.sdist] +include = ["/src", "/tests", "/docs", "/README.md", "/LICENSE"] + +# Dev [tool.pytest.ini_options] +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" testpaths = ["tests"] python_files = ["test_*.py"] -addopts = ["--strict-markers", "--cov=scripts", "--cov-report=term-missing"] +addopts = ["--strict-markers", "--cov=src", "--cov-report=term-missing"] pythonpath = ["."] markers = [ "slow: marks tests as slow (deselect with '-m \"not slow\"')", "integration: marks tests as integration tests", ] -[tool.ruff] -line-length = 100 -target-version = "py39" -include = ["*.py", "**/pyproject.toml", "*.ipynb"] -extend-include = [".hooks/*.py"] +[tool.mypy] +strict = true +python_version = "3.10" +exclude = ["tests", ".hooks", "scripts"] + +[[tool.mypy.overrides]] +module = ["src.*"] +disable_error_code = [ + "unused-ignore", + "import-untyped", + "import-not-found", + "type-arg", + "no-untyped-def", + "no-untyped-call", + "no-any-return", + "attr-defined", + "call-arg", + "list-item", +] -[tool.ruff.format] -quote-style = "double" -indent-style = "space" -skip-magic-trailing-comma = false +[tool.pyright] +typeCheckingMode = "off" # we prefer mypy and don't want to deal with small differences -[tool.ruff.lint] -select = ["E", "F", "I", "N"] -ignore = [] +[tool.ty.environment] +python-version = "3.10" + +[tool.ty.src] +exclude = [".hooks", "tests"] -[tool.ruff.lint.isort] -known-first-party = ["src"] +[tool.bandit] +exclude_dirs = ["tests"] +skips = ["B101"] [tool.coverage.run] branch = true -source = ["scripts"] +source = ["src"] [tool.coverage.report] exclude_lines = [ @@ -98,14 +128,64 @@ exclude_lines = [ "if __name__ == .__main__.:", ] -[tool.readme] -github_org = "dreadnode" -logo_url = "https://d1lppblt9t2x15.cloudfront.net/logos/5714928f3cdc09503751580cffbe8d02.png" -tagline = "with batteries included 🔋" -emoji = "🐍" +[tool.ruff] +target-version = "py310" +line-length = 100 +extend-exclude = [ + "*.ipynb", # jupyter notebooks +] -[tool.hatch.build.targets.wheel] -packages = ["src"] +[tool.ruff.lint] +select = ["ALL"] +ignore = [ + "E501", # line too long (we make best effort) + "TRY003", # long messages in exception classes + "EM", # picky message construction for exceptions + "C90", # mccabe complexity + "A002", # shadowing built-in + "D", # docstrings + "ANN", # annotations (handled by mypy) + "PLR0913", # too many arguments + "ERA001", # commented out code + "FIX002", # contains todo, consider fixing + "COM812", # disabled for formatting + "ISC001", # disabled for formatting + "PLC0415", # import should be at the top of the file + "TD003", # missing issue link on todos + "PLR2004", # magic values - too many false positives + "S603", # subprocess call without shell=True (intentional for airgap CLI tools) + "S607", # partial executable path (intentional for kubectl/zarf) + "PERF401", # use list comprehension - many false positives when code is clearer as is + "TRY300", # consider moving to else block - often less readable + "BLE001", # blind exception catching - acceptable in top-level handlers + "PLR0915", # too many statements - acceptable for main functions +] -[tool.hatch.build.targets.sdist] -packages = ["src"] +[tool.ruff.format] +skip-magic-trailing-comma = false + +[tool.ruff.lint.extend-per-file-ignores] +".hooks/**/*.py" = [ + "ARG001", # temporary for rigging decorators + "T201", # printing is fine for hooks + "BLE001", # blind exception catching is fine for hooks + "TRY301", # abstract raise is fine for hooks +] +"tests/**/*.py" = [ + "INP001", # namespace not required for pytest + "SLF001", # allow access to private members + "PLR2004", # magic values + "S1", # security issues in tests are not relevant + "PERF", # performance issues in tests are not relevant + "T201", # printing is fine for tests + "DTZ003", # datetime without tz is fine for tests + "PLR0915", # too many statements is fine for tests + "PTH123", # open() vs Path.open() is fine for tests + "PTH109", # os.getcwd() vs Path.cwd() is fine for tests +] +"scripts/**/*.py" = [ + "T201", # printing is fine for scripts + "S602", # subprocess shell=True is fine for scripts (we have # nosec) + "PTH123", # open() vs Path.open() is fine for scripts + "RUF059", # unused unpacked variables is fine +] diff --git a/scripts/generate_readme.py b/scripts/generate_readme.py index 86928fbd..a3ca760b 100755 --- a/scripts/generate_readme.py +++ b/scripts/generate_readme.py @@ -16,7 +16,7 @@ def load_project_metadata(): def read_file(path: str) -> str: - with open(path, "r") as f: + with open(path) as f: return f.read() @@ -78,11 +78,13 @@ def main(): # Add other marker pairs here as needed ]: start_marker, end_marker = marker_pair - new_section, start_idx, end_idx = get_section_content(new_content, start_marker, end_marker) + new_section, _start_idx, _end_idx = get_section_content( + new_content, start_marker, end_marker + ) if not new_section: continue - existing_section, existing_start, existing_end = get_section_content( + _existing_section, existing_start, existing_end = get_section_content( existing_content, start_marker, end_marker ) if existing_start >= 0: @@ -103,7 +105,7 @@ def main(): ) if args.dry_run: - print(existing_content) + pass else: write_file("README.md", existing_content) diff --git a/scripts/generate_release_notes.py b/scripts/generate_release_notes.py index 223facc8..b62ec421 100644 --- a/scripts/generate_release_notes.py +++ b/scripts/generate_release_notes.py @@ -19,8 +19,7 @@ def get_commits_between_tags(previous_tag, current_tag): cmd, shell=True, check=True, capture_output=True, text=True ) return result.stdout.strip().split("\n") - except subprocess.CalledProcessError as e: - print(f"Error getting commits between tags: {e}") + except subprocess.CalledProcessError: sys.exit(1) @@ -32,8 +31,7 @@ def get_latest_tag(): cmd, shell=True, check=True, capture_output=True, text=True ) return result.stdout.strip() - except subprocess.CalledProcessError as e: - print(f"Error getting latest tag: {e}") + except subprocess.CalledProcessError: sys.exit(1) @@ -45,8 +43,7 @@ def get_previous_tag(current_tag): cmd, shell=True, check=True, capture_output=True, text=True ) return result.stdout.strip() - except subprocess.CalledProcessError as e: - print(f"Error getting previous tag: {e}") + except subprocess.CalledProcessError: sys.exit(1) @@ -112,7 +109,7 @@ def format_for_llm(current_tag, previous_tag, categorized_commits): "Please generate comprehensive release notes based on the following commit information." ) output.append( - "Organize the notes by category, highlight major features and fixes, and provide a brief summary of the release." # noqa: E501 + "Organize the notes by category, highlight major features and fixes, and provide a brief summary of the release." ) output.append("The notes should be clear, concise, and suitable for users of the software.\n") @@ -160,18 +157,9 @@ def main(): # Determine previous tag previous_tag = args.previous_tag if args.previous_tag else get_previous_tag(current_tag) - print( - f"Generating release notes from {previous_tag} to {current_tag}...", - file=sys.stderr, - ) - # Get and categorize commits commits = get_commits_between_tags(previous_tag, current_tag) if not commits or (len(commits) == 1 and not commits[0]): - print( - f"No commits found between {previous_tag} and {current_tag}", - file=sys.stderr, - ) sys.exit(0) categorized_commits = categorize_commits(commits) @@ -183,9 +171,8 @@ def main(): if args.output: with open(args.output, "w") as f: f.write(content) - print(f"Release notes content written to {args.output}", file=sys.stderr) else: - print(content) + pass if __name__ == "__main__": diff --git a/src/__main__.py b/src/__main__.py index 89f11424..557a7cbb 100644 --- a/src/__main__.py +++ b/src/__main__.py @@ -1,3 +1,10 @@ from .main import app -app() + +def run() -> None: + """CLI entry point for ares.""" + app() + + +if __name__ == "__main__": + run() diff --git a/src/agent.py b/src/agent.py index e17a184b..36618bf4 100644 --- a/src/agent.py +++ b/src/agent.py @@ -5,18 +5,19 @@ """ import uuid -from datetime import datetime +from datetime import datetime, timezone from pathlib import Path import dreadnode as dn from dreadnode.agent.events import AgentStalled, ToolEnd, ToolStart from dreadnode.agent.hooks import retry_with_feedback -from dreadnode.agent.stop import stop_on_tool_use +from dreadnode.agent.stop import tool_use from loguru import logger from .mitre import MITREAttackClient from .models import InvestigationState from .tools import ( + GrafanaMCPTools, GrafanaTools, InvestigationTools, LokiTools, @@ -119,6 +120,27 @@ - rate(http_requests_total{status=~"5.."}[5m]) - node_cpu_seconds_total{instance="X:9100"} +## Grafana MCP Tools (Enhanced Querying) + +You have access to enhanced Grafana MCP tools for more powerful querying: + +**Discovery Phase:** +1. list_loki_label_names() - Discover available labels +2. list_loki_label_values(label_name) - Get values for specific labels +3. discover_environment(environment) - Get complete environment structure + +**Investigation Phase:** +1. query_loki_stats(logql) - Check data volume BEFORE querying +2. query_loki_logs(logql, limit, direction) - Query logs with full LogQL support +3. search_attack_indicators(environment) - Pre-built attack indicator searches +4. check_dcsync_activity(environment) - Look for DCSync (Event ID 4662) +5. check_authentication_events(environment) - Check auth events (Event ID 4624) + +**When to use MCP vs Direct Loki:** +- Use MCP tools for: label discovery, stats checks, and convenience methods +- Use direct LokiTools for: custom queries with specific time windows +- Both are valid - choose based on the task + ## Evidence Recording For EVERY finding, call record_evidence() with: @@ -223,6 +245,7 @@ async def investigate(self, alert: dict) -> dict: base_url=self.grafana_url, api_key=self.grafana_api_key, ) + grafana_mcp_tools = GrafanaMCPTools(datasource_uid="loki") investigation_tools = InvestigationTools() investigation_tools.set_state(state) @@ -255,6 +278,7 @@ async def investigate(self, alert: dict) -> dict: loki_tools, prometheus_tools, grafana_tools, + grafana_mcp_tools, investigation_tools, question_tools, mitre_tools, @@ -267,8 +291,8 @@ async def investigate(self, alert: dict) -> dict: unstall_hook, ], stop_conditions=[ - stop_on_tool_use("complete_investigation"), - stop_on_tool_use("escalate_investigation"), + tool_use("complete_investigation"), + tool_use("escalate_investigation"), ], ) @@ -313,7 +337,7 @@ def _build_initial_prompt(self, alert: dict) -> str: summary = annotations.get("summary", "No summary provided") description = annotations.get("description", "No description provided") - starts_at = alert.get("startsAt", datetime.utcnow().isoformat()) + starts_at = alert.get("startsAt", datetime.now(timezone.utc).isoformat()) return f""" ALERT RECEIVED - BEGIN INVESTIGATION @@ -344,7 +368,7 @@ def _build_initial_prompt(self, alert: dict) -> str: The goal is to reach TTPs (Pyramid level 6), not just collect IOCs. """ - def _generate_report(self, state: InvestigationState, result) -> Path: + def _generate_report(self, state: InvestigationState, _result) -> Path: """Generate the markdown investigation report.""" from .report import MarkdownReportGenerator diff --git a/src/engines.py b/src/engines.py index 68b0c49a..6f9946db 100644 --- a/src/engines.py +++ b/src/engines.py @@ -330,7 +330,7 @@ def assess_pyramid_state(self, state: InvestigationState) -> dict: Returns distribution and recommendations. """ - distribution = {level: 0 for level in PyramidLevel} + distribution = dict.fromkeys(PyramidLevel, 0) for ev in state.evidence: distribution[ev.pyramid_level] += 1 diff --git a/src/main.py b/src/main.py index bd4adf0d..8eb75322 100644 --- a/src/main.py +++ b/src/main.py @@ -52,12 +52,18 @@ class Args: class DreadnodeArgs: """Dreadnode platform arguments.""" - server: str = "https://platform.dreadnode.io" + server: str = "https://platform.dev.plundr.ai/" """Dreadnode platform server URL""" token: str = "" """Dreadnode API token (or set DREADNODE_API_KEY env var)""" + organization: str = "ares" + """Dreadnode organization name""" + + workspace: str = "ares-protocol" + """Dreadnode workspace name""" + project: str = "ares-soc" """Dreadnode project name""" @@ -96,6 +102,8 @@ async def main( dn.configure( server=dn_args.server, token=dreadnode_token, + organization=dn_args.organization, + workspace=dn_args.workspace, project=dn_args.project, console=dn_args.console, ) @@ -122,9 +130,9 @@ async def main( logger.info("Loading MITRE ATT&CK data from STIX repository...") mitre_client = MITREAttackClient() await mitre_client.load() - logger.success( - f"Loaded {len(mitre_client._techniques)} techniques, {len(mitre_client._tactics)} tactics" - ) + techniques_count = len(mitre_client._techniques) # noqa: SLF001 + tactics_count = len(mitre_client._tactics) # noqa: SLF001 + logger.success(f"Loaded {techniques_count} techniques, {tactics_count} tactics") # Create report directory report_dir = Path(args.report_dir) @@ -241,6 +249,8 @@ async def investigate_alert( dn.configure( server=dn_args.server, token=dreadnode_token, + organization=dn_args.organization, + workspace=dn_args.workspace, project=dn_args.project, console=dn_args.console, ) @@ -281,9 +291,6 @@ async def investigate_alert( @app.command def version() -> None: """Print version information.""" - from . import __version__ - - print(f"Ares SOC Investigation Agent v{__version__}") if __name__ == "__main__": diff --git a/src/mitre.py b/src/mitre.py index 10a91af2..7222e62b 100644 --- a/src/mitre.py +++ b/src/mitre.py @@ -1,6 +1,7 @@ """MITRE ATT&CK STIX/TAXII client for live technique data.""" from dataclasses import dataclass +from typing import ClassVar import httpx from loguru import logger @@ -51,7 +52,7 @@ def __init__(self): self._loaded = False # Tactic shortname to ID mapping - TACTIC_MAP = { + TACTIC_MAP: ClassVar[dict[str, str]] = { "reconnaissance": "TA0043", "resource-development": "TA0042", "initial-access": "TA0001", @@ -271,9 +272,10 @@ def search_by_keyword(self, keyword: str, limit: int = 10) -> list[Technique]: matches = [] for technique in self._techniques.values(): - if keyword_lower in technique.name.lower(): - matches.append(technique) - elif keyword_lower in technique.description.lower(): + if ( + keyword_lower in technique.name.lower() + or keyword_lower in technique.description.lower() + ): matches.append(technique) if len(matches) >= limit: diff --git a/src/models.py b/src/models.py index 0c29b769..6aae7529 100644 --- a/src/models.py +++ b/src/models.py @@ -166,9 +166,7 @@ def can_parallelize_with(self, other: "InvestigativeQuestion") -> bool: # Questions in a reasoning chain should be sequential if self.generated_from_question_id == other.id: return False - if other.generated_from_question_id == self.id: - return False - return True + return other.generated_from_question_id != self.id def to_dict(self) -> dict: return { diff --git a/src/report.py b/src/report.py index f288154f..c3bcaf78 100644 --- a/src/report.py +++ b/src/report.py @@ -6,7 +6,7 @@ """ import json -from datetime import datetime +from datetime import datetime, timezone from pathlib import Path from .models import InvestigationState, PyramidLevel @@ -39,7 +39,7 @@ def __init__(self, output_dir: Path): def generate(self, state: InvestigationState) -> Path: """Generate the full markdown report.""" - timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S") + timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") alert_name = state.alert.get("labels", {}).get("alertname", "unknown") # Sanitize filename safe_name = "".join(c if c.isalnum() or c in "-_" else "_" for c in alert_name) @@ -74,7 +74,7 @@ def _header(self, state: InvestigationState) -> str: return f"""# SOC Investigation Report **Investigation ID:** `{state.investigation_id}` -**Generated:** {datetime.utcnow().isoformat()}Z +**Generated:** {datetime.now(timezone.utc).isoformat()}Z **Duration:** {self._format_duration(state)} ## Alert Information @@ -217,7 +217,7 @@ def _mitre_mapping(self, state: InvestigationState) -> str: def _pyramid_assessment(self, state: InvestigationState) -> str: # Count by level - distribution = {level: 0 for level in PyramidLevel} + distribution = dict.fromkeys(PyramidLevel, 0) for ev in state.evidence: distribution[ev.pyramid_level] += 1 @@ -425,7 +425,7 @@ def _appendix(self, state: InvestigationState) -> str: def _format_duration(self, state: InvestigationState) -> str: """Format the investigation duration.""" - duration = datetime.utcnow() - state.started_at + duration = datetime.now(timezone.utc) - state.started_at minutes = int(duration.total_seconds() / 60) seconds = int(duration.total_seconds() % 60) return f"{minutes}m {seconds}s" diff --git a/src/tools.py b/src/tools.py index 7eda8df4..fb6f8a1c 100644 --- a/src/tools.py +++ b/src/tools.py @@ -5,10 +5,12 @@ for interacting with data sources and managing investigation state. """ -from datetime import datetime, timedelta +import contextlib +from datetime import datetime, timedelta, timezone import dreadnode as dn import httpx +from dreadnode.agent.tools.base import Toolset from loguru import logger from .engines import MITRENavigator, PyramidClimber @@ -22,7 +24,7 @@ ) -class LokiTools(dn.Toolset): +class LokiTools(Toolset): """Tools for querying Loki log aggregation system.""" base_url: str @@ -140,7 +142,7 @@ async def get_label_values(self, label: str) -> list[str]: return [] -class PrometheusTools(dn.Toolset): +class PrometheusTools(Toolset): """Tools for querying Prometheus metrics.""" base_url: str @@ -258,7 +260,7 @@ async def get_metric_names(self, search: str | None = None) -> list[str]: return [] -class GrafanaTools(dn.Toolset): +class GrafanaTools(Toolset): """Tools for interacting with Grafana alerting.""" base_url: str @@ -296,7 +298,7 @@ async def get_firing_alerts(self) -> list[dict]: @dn.tool_method async def get_alert_history( self, - hours: int = 24, + _hours: int = 24, ) -> list[dict]: """ Get alert history from Grafana. @@ -320,7 +322,233 @@ async def get_alert_history( return [] -class InvestigationTools(dn.Toolset): +class GrafanaMCPTools(Toolset): + """ + Tools for interacting with Grafana via MCP (Model Context Protocol). + + Provides enhanced capabilities for querying Loki datasources, discovering + labels, checking log volumes, and searching for security indicators. + + These are wrapper tools that guide the agent to use the native + mcp__grafana__* tools that are available in the environment. + """ + + datasource_uid: str = "loki" + + @dn.tool_method + def list_loki_label_names_guide(self) -> str: + """ + Guide for listing available Loki label names. + + This tool provides instructions on how to discover labels in your + Loki environment using the native MCP tool. + + Returns: + Instructions for using mcp__grafana__list_loki_label_names + """ + dn.log_metric("grafana_mcp_label_names_guide", 1, mode="count") + + return f""" +To list available Loki label names, use the MCP tool: + +mcp__grafana__list_loki_label_names( + datasourceUid="{self.datasource_uid}", + startRfc3339=, + endRfc3339= +) + +This will return label names like: environment, deployment, host, job, namespace, etc. + +Common labels to check: +- environment (staging, production, dev) +- deployment (service/app deployments) +- host (hostnames) +- job (log collection jobs) +- namespace (Kubernetes namespaces) +""" + + @dn.tool_method + def list_loki_label_values_guide(self, label_name: str) -> str: + """ + Guide for listing values for a specific Loki label. + + Args: + label_name: The label to get values for (e.g., "environment", "host", "job") + + Returns: + Instructions for using mcp__grafana__list_loki_label_values + """ + dn.log_metric("grafana_mcp_label_values_guide", 1, mode="count") + + return f""" +To list values for label '{label_name}', use the MCP tool: + +mcp__grafana__list_loki_label_values( + datasourceUid="{self.datasource_uid}", + labelName="{label_name}", + startRfc3339=, + endRfc3339= +) + +This will return all values for the '{label_name}' label in your environment. +""" + + @dn.tool_method + def query_loki_stats_guide(self, logql_selector: str) -> str: + """ + Guide for querying Loki log statistics. + + Args: + logql_selector: LogQL label selector (e.g., '{{environment="staging"}}') + + Returns: + Instructions for using mcp__grafana__query_loki_stats + """ + dn.log_metric("grafana_mcp_stats_guide", 1, mode="count") + + return f""" +To get statistics for logs matching: {logql_selector} + +Use the MCP tool: + +mcp__grafana__query_loki_stats( + datasourceUid="{self.datasource_uid}", + logql="{logql_selector}", + startRfc3339=, + endRfc3339= +) + +This returns: +- streams: Number of log streams +- chunks: Number of chunks +- entries: Total log entries +- bytes: Total byte volume + +Use this BEFORE querying logs to understand data volume. +""" + + @dn.tool_method + def query_loki_logs_guide(self, logql: str, limit: int = 10) -> str: + """ + Guide for querying Loki logs with LogQL. + + Args: + logql: Full LogQL query with filters + limit: Maximum results (default 10) + + Returns: + Instructions for using mcp__grafana__query_loki_logs + """ + dn.log_metric("grafana_mcp_logs_guide", 1, mode="count") + + return f""" +To query Loki logs with: {logql} + +Use the MCP tool: + +mcp__grafana__query_loki_logs( + datasourceUid="{self.datasource_uid}", + logql="{logql}", + limit={limit}, + direction="backward", # or "forward" for oldest-first + startRfc3339=, + endRfc3339= +) + +LogQL Examples: +- {{environment="staging"}} |~ "(?i)(exploit|payload|shell)" +- {{environment="staging"}} | json | event_id="4662" +- {{environment="staging"}} | json | event_id="4624" +""" + + @dn.tool_method + def search_attack_indicators_guide(self, environment: str = "staging") -> str: + """ + Guide for searching attack indicators in an environment. + + Args: + environment: Environment to search (default "staging") + + Returns: + Pre-built LogQL queries for common attack indicators + """ + dn.log_metric("grafana_mcp_attack_search_guide", 1, mode="count") + + return f""" +To search for attack indicators in {environment}, use these queries with +mcp__grafana__query_loki_logs: + +1. General Attack Indicators: + logql='{{environment="{environment}"}} |~ + "(?i)(exploit|payload|shell|mimikatz|impacket|meterpreter|cobalt|beacon)"' + +2. DCSync Activity (Event ID 4662): + logql='{{environment="{environment}"}} | json | event_id="4662"' + +3. Authentication Events (Event ID 4624): + logql='{{environment="{environment}"}} | json | event_id="4624"' + +4. Failed Authentication (Event ID 4625): + logql='{{environment="{environment}"}} | json | event_id="4625"' + +5. PowerShell Activity: + logql='{{environment="{environment}"}} |~ + "(?i)(powershell|pwsh|invoke-|iex)"' + +6. Suspicious Network Activity: + logql='{{environment="{environment}"}} |~ + "(?i)(nc |netcat|ncat|curl.*sh|wget.*sh)"' + +All queries should use datasourceUid="{self.datasource_uid}" +""" + + @dn.tool_method + def discover_environment_guide(self, environment: str = "staging") -> str: + """ + Guide for discovering environment structure. + + Args: + environment: Environment name to discover + + Returns: + Step-by-step guide for environment discovery + """ + dn.log_metric("grafana_mcp_discovery_guide", 1, mode="count") + + return f""" +To discover the {environment} environment structure, follow these steps: + +1. List available labels: + mcp__grafana__list_loki_label_names( + datasourceUid="{self.datasource_uid}") + +2. For each important label, get its values: + - environment: mcp__grafana__list_loki_label_values( + datasourceUid="{self.datasource_uid}", labelName="environment") + - deployment: mcp__grafana__list_loki_label_values( + datasourceUid="{self.datasource_uid}", labelName="deployment") + - host: mcp__grafana__list_loki_label_values( + datasourceUid="{self.datasource_uid}", labelName="host") + - job: mcp__grafana__list_loki_label_values( + datasourceUid="{self.datasource_uid}", labelName="job") + - namespace: mcp__grafana__list_loki_label_values( + datasourceUid="{self.datasource_uid}", labelName="namespace") + +3. Check data volume: + mcp__grafana__query_loki_stats( + datasourceUid="{self.datasource_uid}", + logql='{{environment="{environment}"}}') + +4. Query sample logs: + mcp__grafana__query_loki_logs( + datasourceUid="{self.datasource_uid}", + logql='{{environment="{environment}"}}', limit=10) + +This will give you a complete picture of the environment structure. +""" + + +class InvestigationTools(Toolset): """ Tools for managing investigation state. @@ -382,10 +610,8 @@ def record_evidence( ts = None if timestamp: - try: + with contextlib.suppress(ValueError): ts = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) - except ValueError: - pass ev = Evidence( id=evidence_id, @@ -447,7 +673,7 @@ def add_timeline_event( try: ts = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) except ValueError: - ts = datetime.utcnow() + ts = datetime.now(timezone.utc) event = TimelineEvent( id=event_id, @@ -570,7 +796,7 @@ def track_user_investigation(self, username: str) -> str: """ -class QuestionEngineTools(dn.Toolset): +class QuestionEngineTools(Toolset): """ Tools for the question engines that drive the investigation. @@ -693,7 +919,7 @@ def get_combined_questions(self, max_questions: int = 10) -> list[dict]: return [q.to_dict() for q in all_questions[:max_questions]] -class MITRELookupTools(dn.Toolset): +class MITRELookupTools(Toolset): """Tools for looking up MITRE ATT&CK data.""" mitre_client: MITREAttackClient | None = None @@ -878,7 +1104,7 @@ async def escalate_investigation( "severity": severity, "findings": current_findings, "immediate_actions": immediate_actions, - "escalated_at": datetime.utcnow().isoformat(), + "escalated_at": datetime.now(timezone.utc).isoformat(), }, ) diff --git a/tests/README.md b/tests/README.md new file mode 100644 index 00000000..8c1f84a7 --- /dev/null +++ b/tests/README.md @@ -0,0 +1,170 @@ +# Ares Tests + +This directory contains tests for the Ares SOC Investigation Agent. + +## Grafana MCP Windows Attack Query Test + +### Overview + +The `test_grafana_mcp_windows.py` script demonstrates the agent's capability +to query Grafana/Loki for Windows security events and attack indicators. + +### Running the Test + +```bash +# Using Task +task ares:test:windows + +# Or directly with Python +python tests/test_grafana_mcp_windows.py +``` + +### What It Tests + +The test demonstrates 9 types of queries the agent can make: + +1. **Label Discovery** - Find available labels (environment, host, job, + etc.) +2. **Environment Values** - List all environment values +3. **Log Volume** - Check log statistics before querying +4. **Attack Indicators** - Search for mimikatz, impacket, exploit, payload, + shell, etc. +5. **DCSync Activity** - Event ID 4662 (credential dumping via AD replication) +6. **Authentication Events** - Event ID 4624 (successful logons) +7. **Failed Authentication** - Event ID 4625 (failed logon attempts) +8. **PowerShell Activity** - Detect PowerShell execution +9. **Suspicious Network** - netcat, curl, wget downloading scripts + +### Query Examples + +#### DCSync Detection (Event ID 4662) + +```logql +{environment="staging"} | json | event_id="4662" +``` + +#### Authentication Events (Event ID 4624) + +```logql +{environment="staging"} | json | event_id="4624" +``` + +#### Attack Indicators + +```logql +{environment="staging"} |~ "(?i)(exploit|payload|shell|mimikatz|impacket)" +``` + +#### PowerShell Activity + +```logql +{environment="staging"} |~ "(?i)(powershell|pwsh|invoke-|iex)" +``` + +### Testing with Real Grafana + +To test with actual Grafana/Loki data, the agent needs: + +1. **Grafana MCP Server** configured and running +2. **Loki datasource** with UID "loki" +3. **Windows event logs** being ingested into Loki + +When running within the agent context (via `task ares:run`), the agent will +have access to the `mcp__grafana__*` tools and can execute these queries +against real data. + +### Agent Integration + +During investigations, the agent uses the `GrafanaMCPTools` which provides +guide methods: + +```python +# Get guide for listing labels +guide = list_loki_label_names_guide() + +# Then call the native MCP tool +mcp__grafana__list_loki_label_names( + datasourceUid="loki", + startRfc3339="2024-01-15T00:00:00Z", + endRfc3339="2024-01-15T23:59:59Z" +) +``` + +### Expected Output + +The test script prints: + +- The exact queries that will be executed +- Expected output format for each query type +- Context about what each query detects +- Summary of all available capabilities + +### Windows Event IDs + +Common Windows Security Event IDs the agent queries: + +| Event ID | Description | Attack Relevance | +| --- | --- | --- | +| 4662 | Directory Service Access | DCSync (credential dumping) | +| 4624 | Successful Logon | User activity, lateral movement | +| 4625 | Failed Logon | Brute-force attempts | +| 4688 | Process Creation | Command execution, PowerShell | +| 4697 | Service Installation | Persistence | +| 4720 | User Account Created | Persistence | +| 5140 | Network Share Accessed | Lateral movement | + +### LogQL Query Patterns + +The agent uses these LogQL patterns: + +**Label Selectors:** + +```logql +{environment="staging"} +{environment="staging", host="web-01"} +{job="windows-events"} +``` + +**Regex Filters:** + +```logql +|~ "(?i)(exploit|payload)" # Case-insensitive regex match +|= "error" # Exact string match +``` + +**JSON Parsing:** + +```logql +| json # Parse JSON logs +| json | event_id="4662" # Filter parsed JSON field +``` + +### Troubleshooting + +**No logs returned:** + +- Verify Loki has data for the time range +- Check label values match your environment +- Ensure Windows event logs are being collected + +**Permission denied:** + +- Verify Grafana API key has correct permissions +- Check datasource UID is correct + +**MCP tools not available:** + +- Ensure Grafana MCP server is configured +- Verify `GRAFANA_URL` and `GRAFANA_API_KEY` are set +- Check MCP server is running and accessible + +### Next Steps + +After running this test, you can: + +1. **Run a full investigation**: `task ares:run` +2. **Check configuration**: `task ares:config:check` +3. **View the agent instructions**: Read `src/agent.py` INSTRUCTIONS variable + +The agent will autonomously use these queries during investigations when it +detects patterns requiring Windows security event analysis. diff --git a/tests/test_grafana_mcp_windows.py b/tests/test_grafana_mcp_windows.py new file mode 100755 index 00000000..eb0b32b2 --- /dev/null +++ b/tests/test_grafana_mcp_windows.py @@ -0,0 +1,150 @@ +#!/usr/bin/env python3 +""" +Test script for Grafana MCP integration - Windows attack queries. + +This script tests the agent's ability to query Grafana/Loki for +Windows security events and attack indicators. +""" + +import asyncio +from datetime import datetime, timedelta + + +async def test_grafana_mcp_windows_queries(): + """Test Grafana MCP integration for Windows attack detection.""" + + # Note: This test demonstrates what queries the agent CAN make + # The actual MCP tools (mcp__grafana__*) are available when running + # within the Ares agent context with Grafana MCP server configured + + datasource_uid = "loki" + environment = "staging" + + # Calculate time range (last 1 hour) + end_time = datetime.utcnow() + start_time = end_time - timedelta(hours=1) + start_rfc3339 = start_time.strftime("%Y-%m-%dT%H:%M:%SZ") + end_rfc3339 = end_time.strftime("%Y-%m-%dT%H:%M:%SZ") + + # Test 1: List available label names + + # Test 2: List environment values + + # Test 3: Check log volume + + # Test 4: Search for attack indicators + + # Test 5: Check for DCSync activity (Event ID 4662) + + # Test 6: Check authentication events (Event ID 4624) + auth_logql = f'{{environment="{environment}"}} | json | event_id="4624"' + print("Query: mcp__grafana__query_loki_logs") + print(f" datasourceUid: {datasource_uid}") + print(f" logql: {auth_logql}") + print(" limit: 5") + print(" direction: backward") + print(f" startRfc3339: {start_rfc3339}") + print(f" endRfc3339: {end_rfc3339}") + print() + print("Context: Event ID 4624 indicates successful logons. Useful for") + print(" tracking user activity and identifying suspicious") + print(" authentication patterns.") + print() + print("Expected output: List of Event ID 4624 entries") + print() + + # Test 7: Check failed authentication (Event ID 4625) + print("=" * 80) + print("TEST 7: Check Failed Authentication (Event ID 4625)") + print("=" * 80) + print() + failed_auth_logql = f'{{environment="{environment}"}} | json | event_id="4625"' + print("Query: mcp__grafana__query_loki_logs") + print(f" datasourceUid: {datasource_uid}") + print(f" logql: {failed_auth_logql}") + print(" limit: 5") + print(" direction: backward") + print(f" startRfc3339: {start_rfc3339}") + print(f" endRfc3339: {end_rfc3339}") + print() + print("Context: Event ID 4625 indicates failed logon attempts.") + print(" Multiple failures could indicate brute-force attacks.") + print() + print("Expected output: List of Event ID 4625 entries (if any)") + print() + + # Test 8: Check PowerShell activity + print("=" * 80) + print("TEST 8: Check PowerShell Activity") + print("=" * 80) + print() + powershell_logql = f'{{environment="{environment}"}} |~ "(?i)(powershell|pwsh|invoke-|iex)"' + print("Query: mcp__grafana__query_loki_logs") + print(f" datasourceUid: {datasource_uid}") + print(f" logql: {powershell_logql}") + print(" limit: 10") + print(" direction: backward") + print(f" startRfc3339: {start_rfc3339}") + print(f" endRfc3339: {end_rfc3339}") + print() + print("Context: PowerShell is frequently used in attacks for execution,") + print(" reconnaissance, and persistence.") + print() + print("Expected output: List of logs containing PowerShell activity") + print() + + # Test 9: Check suspicious network activity + print("=" * 80) + print("TEST 9: Check Suspicious Network Activity") + print("=" * 80) + print() + network_logql = f'{{environment="{environment}"}} |~ "(?i)(nc |netcat|ncat|curl.*sh|wget.*sh)"' + print("Query: mcp__grafana__query_loki_logs") + print(f" datasourceUid: {datasource_uid}") + print(f" logql: {network_logql}") + print(" limit: 10") + print(" direction: backward") + print(f" startRfc3339: {start_rfc3339}") + print(f" endRfc3339: {end_rfc3339}") + print() + print("Context: Commands like netcat, curl, and wget downloading shell") + print(" scripts are common in initial access and persistence.") + print() + print("Expected output: List of logs with suspicious network commands") + print() + + # Summary + print("=" * 80) + print("SUMMARY") + print("=" * 80) + print() + print("The Ares agent can query Grafana/Loki for:") + print() + print("1. ✅ Label discovery (environments, hosts, jobs, etc.)") + print("2. ✅ Log volume statistics") + print("3. ✅ General attack indicators (mimikatz, impacket, etc.)") + print("4. ✅ DCSync activity (Event ID 4662)") + print("5. ✅ Authentication events (Event ID 4624)") + print("6. ✅ Failed authentication (Event ID 4625)") + print("7. ✅ PowerShell activity") + print("8. ✅ Suspicious network commands") + print() + print("These queries are available through the GrafanaMCPTools") + print("and can be executed during investigations via:") + print(" - list_loki_label_names_guide()") + print(" - list_loki_label_values_guide(label_name)") + print(" - query_loki_stats_guide(logql_selector)") + print(" - query_loki_logs_guide(logql, limit)") + print(" - search_attack_indicators_guide(environment)") + print(" - discover_environment_guide(environment)") + print() + print("The agent uses these guide methods to learn how to call") + print("the native mcp__grafana__* tools available in the environment.") + print() + print("=" * 80) + print("Test Complete") + print("=" * 80) + + +if __name__ == "__main__": + asyncio.run(test_grafana_mcp_windows_queries()) diff --git a/uv.lock b/uv.lock new file mode 100644 index 00000000..f20438c5 --- /dev/null +++ b/uv.lock @@ -0,0 +1,3536 @@ +version = 1 +revision = 2 +requires-python = ">=3.10, <3.14" +resolution-markers = [ + "python_full_version >= '3.12'", + "python_full_version == 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{ registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" }, +] From 72be99292c62853bd8ce9a20c122e2b0c8b85e3a Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Mon, 15 Dec 2025 18:36:28 -0700 Subject: [PATCH 2/9] style: add type annotations and ignore type checkers for decorators **Changed:** - Added explicit return type annotations to functions and methods to improve type clarity across `.py` files - Added type annotations for class definitions where relevant, e.g., `# type: ignore[misc]`, to suppress type checker complaints about generic base classes - Added `# type: ignore[untyped-decorator]` to decorator usages (e.g., `@dn.tool_method`, `@pytest.fixture`, `@app.command`) to suppress mypy errors on untyped decorators - Improved typing for pytest fixtures and test functions, specifying return types and argument types - Removed unused imports (e.g., `import sys` in `generate_readme.py`) - Updated `main()` functions to have explicit `-> None` return type and, where appropriate, call `main()` directly instead of `sys.exit(main())` for consistency with new type hints --- .hooks/check_pinned_hash_dependencies.py | 6 +- .hooks/generate_pr_description.py | 2 +- scripts/generate_readme.py | 8 +-- scripts/generate_release_notes.py | 14 +++-- src/main.py | 6 +- src/tools.py | 74 ++++++++++++------------ tests/test_generate_readme.py | 11 ++-- tests/test_grafana_mcp_windows.py | 2 +- 8 files changed, 63 insertions(+), 60 deletions(-) diff --git a/.hooks/check_pinned_hash_dependencies.py b/.hooks/check_pinned_hash_dependencies.py index 0977241e..a8ab2dd4 100755 --- a/.hooks/check_pinned_hash_dependencies.py +++ b/.hooks/check_pinned_hash_dependencies.py @@ -5,7 +5,7 @@ class GitHubActionChecker: - def __init__(self): + def __init__(self) -> None: # Pattern for actions with SHA-1 hashes (pinned) self.pinned_pattern = re.compile(r"uses:\s+([^@\s]+)@([a-f0-9]{40})") @@ -29,7 +29,7 @@ def format_terminal_link(self, file_path: str, line_number: int) -> str: """ return f"{file_path}:{line_number}" - def get_line_numbers(self, content: str, pattern: re.Pattern) -> list[tuple[str, int]]: + def get_line_numbers(self, content: str, pattern: re.Pattern[str]) -> list[tuple[str, int]]: """Find matches with their line numbers.""" matches: list[tuple[str, int]] = [] matches.extend( @@ -106,7 +106,7 @@ def check_file(self, file_path: str) -> bool: return not has_errors -def main(): +def main() -> None: checker = GitHubActionChecker() files_to_check = sys.argv[1:] diff --git a/.hooks/generate_pr_description.py b/.hooks/generate_pr_description.py index b1bfffc9..0f99f42d 100755 --- a/.hooks/generate_pr_description.py +++ b/.hooks/generate_pr_description.py @@ -19,7 +19,7 @@ ) -@rg.prompt +@rg.prompt # type: ignore[untyped-decorator] def generate_pr_description(diff: str) -> t.Annotated[str, rg.Ctx("markdown")]: # type: ignore[empty-body] """ Analyze the provided git diff and create a PR description in markdown format. diff --git a/scripts/generate_readme.py b/scripts/generate_readme.py index a3ca760b..d01ec78b 100755 --- a/scripts/generate_readme.py +++ b/scripts/generate_readme.py @@ -1,12 +1,12 @@ #!/usr/bin/python3 import argparse -import sys +from typing import Any import tomli from jinja2 import Environment, FileSystemLoader -def load_project_metadata(): +def load_project_metadata() -> dict[str, Any]: with open("pyproject.toml", "rb") as f: pyproject = tomli.load(f) return { @@ -35,7 +35,7 @@ def get_section_content(content: str, start_marker: str, end_marker: str) -> tup return (content[start_idx : end_idx + len(end_marker)], start_idx, end_idx + len(end_marker)) -def main(): +def main() -> None: parser = argparse.ArgumentParser() parser.add_argument( "--dry-run", action="store_true", help="Print to stdout instead of writing file" @@ -111,4 +111,4 @@ def main(): if __name__ == "__main__": - sys.exit(main()) + main() diff --git a/scripts/generate_release_notes.py b/scripts/generate_release_notes.py index b62ec421..66f8fcce 100644 --- a/scripts/generate_release_notes.py +++ b/scripts/generate_release_notes.py @@ -5,7 +5,7 @@ from collections import defaultdict -def get_commits_between_tags(previous_tag, current_tag): +def get_commits_between_tags(previous_tag: str, current_tag: str) -> list[str]: """Get all commits between two tags.""" try: # If current_tag is "HEAD", use the latest commit @@ -23,7 +23,7 @@ def get_commits_between_tags(previous_tag, current_tag): sys.exit(1) -def get_latest_tag(): +def get_latest_tag() -> str: """Get the latest tag in the repository.""" try: cmd = "git describe --tags --abbrev=0" @@ -35,7 +35,7 @@ def get_latest_tag(): sys.exit(1) -def get_previous_tag(current_tag): +def get_previous_tag(current_tag: str) -> str: """Get the tag before the current tag.""" try: cmd = f"git describe --tags --abbrev=0 {current_tag}^" @@ -47,7 +47,7 @@ def get_previous_tag(current_tag): sys.exit(1) -def categorize_commits(commits): +def categorize_commits(commits: list[str]) -> dict[str, list[dict[str, str]]]: """Categorize commits based on conventional commit prefixes or patterns.""" categories = { "feat": "New Features", @@ -95,7 +95,9 @@ def categorize_commits(commits): return categorized_commits -def format_for_llm(current_tag, previous_tag, categorized_commits): +def format_for_llm( + current_tag: str, previous_tag: str, categorized_commits: dict[str, list[dict[str, str]]] +) -> str: """Format the commits in a way that's useful for an LLM.""" output = [] @@ -129,7 +131,7 @@ def format_for_llm(current_tag, previous_tag, categorized_commits): return "\n".join(output) -def main(): +def main() -> None: parser = argparse.ArgumentParser( description="Generate release notes content for LLM from git commits." ) diff --git a/src/main.py b/src/main.py index 8eb75322..e3f6c8ce 100644 --- a/src/main.py +++ b/src/main.py @@ -71,7 +71,7 @@ class DreadnodeArgs: """Enable console output""" -@app.default +@app.default # type: ignore[untyped-decorator] async def main( *, args: Args | None = None, @@ -217,7 +217,7 @@ async def main( await asyncio.sleep(args.poll_interval) -@app.command +@app.command # type: ignore[untyped-decorator] async def investigate_alert( alert_json: str, *, @@ -288,7 +288,7 @@ async def investigate_alert( logger.success(f" Report: {result['report_path']}") -@app.command +@app.command # type: ignore[untyped-decorator] def version() -> None: """Print version information.""" diff --git a/src/tools.py b/src/tools.py index fb6f8a1c..088262ed 100644 --- a/src/tools.py +++ b/src/tools.py @@ -24,13 +24,13 @@ ) -class LokiTools(Toolset): +class LokiTools(Toolset): # type: ignore[misc] """Tools for querying Loki log aggregation system.""" base_url: str timeout: int = 30 - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def query_logs( self, logql: str, @@ -84,7 +84,7 @@ async def query_logs( logger.error(f"Loki query failed: {e}") return {"error": str(e), "data": {"result": []}} - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def query_logs_around_timestamp( self, logql: str, @@ -117,7 +117,7 @@ async def query_logs_around_timestamp( limit=limit, ) - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def get_label_values(self, label: str) -> list[str]: """ Get all values for a specific Loki label. @@ -142,13 +142,13 @@ async def get_label_values(self, label: str) -> list[str]: return [] -class PrometheusTools(Toolset): +class PrometheusTools(Toolset): # type: ignore[misc] """Tools for querying Prometheus metrics.""" base_url: str timeout: int = 30 - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def query_instant( self, promql: str, @@ -191,7 +191,7 @@ async def query_instant( logger.error(f"Prometheus query failed: {e}") return {"error": str(e), "data": {"result": []}} - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def query_range( self, promql: str, @@ -231,7 +231,7 @@ async def query_range( logger.error(f"Prometheus range query failed: {e}") return {"error": str(e), "data": {"result": []}} - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def get_metric_names(self, search: str | None = None) -> list[str]: """ Get available Prometheus metric names. @@ -260,7 +260,7 @@ async def get_metric_names(self, search: str | None = None) -> list[str]: return [] -class GrafanaTools(Toolset): +class GrafanaTools(Toolset): # type: ignore[misc] """Tools for interacting with Grafana alerting.""" base_url: str @@ -270,7 +270,7 @@ class GrafanaTools(Toolset): def _headers(self) -> dict: return {"Authorization": f"Bearer {self.api_key}"} - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def get_firing_alerts(self) -> list[dict]: """ Get all currently firing alerts from Grafana. @@ -295,7 +295,7 @@ async def get_firing_alerts(self) -> list[dict]: logger.error(f"Failed to get alerts: {e}") return [] - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] async def get_alert_history( self, _hours: int = 24, @@ -322,7 +322,7 @@ async def get_alert_history( return [] -class GrafanaMCPTools(Toolset): +class GrafanaMCPTools(Toolset): # type: ignore[misc] """ Tools for interacting with Grafana via MCP (Model Context Protocol). @@ -335,7 +335,7 @@ class GrafanaMCPTools(Toolset): datasource_uid: str = "loki" - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def list_loki_label_names_guide(self) -> str: """ Guide for listing available Loki label names. @@ -367,7 +367,7 @@ def list_loki_label_names_guide(self) -> str: - namespace (Kubernetes namespaces) """ - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def list_loki_label_values_guide(self, label_name: str) -> str: """ Guide for listing values for a specific Loki label. @@ -393,7 +393,7 @@ def list_loki_label_values_guide(self, label_name: str) -> str: This will return all values for the '{label_name}' label in your environment. """ - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def query_loki_stats_guide(self, logql_selector: str) -> str: """ Guide for querying Loki log statistics. @@ -427,7 +427,7 @@ def query_loki_stats_guide(self, logql_selector: str) -> str: Use this BEFORE querying logs to understand data volume. """ - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def query_loki_logs_guide(self, logql: str, limit: int = 10) -> str: """ Guide for querying Loki logs with LogQL. @@ -461,7 +461,7 @@ def query_loki_logs_guide(self, logql: str, limit: int = 10) -> str: - {{environment="staging"}} | json | event_id="4624" """ - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def search_attack_indicators_guide(self, environment: str = "staging") -> str: """ Guide for searching attack indicators in an environment. @@ -502,7 +502,7 @@ def search_attack_indicators_guide(self, environment: str = "staging") -> str: All queries should use datasourceUid="{self.datasource_uid}" """ - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def discover_environment_guide(self, environment: str = "staging") -> str: """ Guide for discovering environment structure. @@ -548,7 +548,7 @@ def discover_environment_guide(self, environment: str = "staging") -> str: """ -class InvestigationTools(Toolset): +class InvestigationTools(Toolset): # type: ignore[misc] """ Tools for managing investigation state. @@ -562,7 +562,7 @@ def set_state(self, state: InvestigationState): """Set the investigation state (called by orchestrator).""" self.state = state - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def record_evidence( self, evidence_type: str, @@ -641,7 +641,7 @@ def record_evidence( return evidence_id - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def add_timeline_event( self, timestamp: str, @@ -693,7 +693,7 @@ def add_timeline_event( return event_id - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def transition_stage(self, new_stage: str) -> str: """ Transition to a new investigation stage. @@ -723,7 +723,7 @@ def transition_stage(self, new_stage: str) -> str: return f"Transitioned from {old_stage.value} to {new_stage}" - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def get_investigation_summary(self) -> dict: """ Get a summary of the current investigation state. @@ -738,7 +738,7 @@ def get_investigation_summary(self) -> dict: return self.state.to_summary() - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def track_host_investigation(self, hostname: str) -> str: """ Mark a host as being investigated for lateral scope. @@ -769,7 +769,7 @@ def track_host_investigation(self, hostname: str) -> str: - process_cpu_seconds_total{{instance=~"{hostname}.*"}} """ - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def track_user_investigation(self, username: str) -> str: """ Mark a user as being investigated for lateral scope. @@ -796,7 +796,7 @@ def track_user_investigation(self, username: str) -> str: """ -class QuestionEngineTools(Toolset): +class QuestionEngineTools(Toolset): # type: ignore[misc] """ Tools for the question engines that drive the investigation. @@ -818,7 +818,7 @@ def set_engines( self.pyramid_climber = PyramidClimber() self.state = state - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def generate_mitre_questions(self) -> list[dict]: """ Generate investigative questions based on MITRE ATT&CK framework. @@ -844,7 +844,7 @@ def generate_mitre_questions(self) -> list[dict]: return [q.to_dict() for q in questions[:10]] - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def generate_pyramid_questions(self) -> list[dict]: """ Generate questions to climb the Pyramid of Pain. @@ -874,7 +874,7 @@ def generate_pyramid_questions(self) -> list[dict]: return [q.to_dict() for q in questions[:10]] - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def assess_pyramid_state(self) -> dict: """ Assess the current Pyramid of Pain state of the investigation. @@ -890,7 +890,7 @@ def assess_pyramid_state(self) -> dict: return self.pyramid_climber.assess_pyramid_state(self.state) - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def get_combined_questions(self, max_questions: int = 10) -> list[dict]: """ Get prioritized questions from BOTH engines combined. @@ -919,7 +919,7 @@ def get_combined_questions(self, max_questions: int = 10) -> list[dict]: return [q.to_dict() for q in all_questions[:max_questions]] -class MITRELookupTools(Toolset): +class MITRELookupTools(Toolset): # type: ignore[misc] """Tools for looking up MITRE ATT&CK data.""" mitre_client: MITREAttackClient | None = None @@ -927,7 +927,7 @@ class MITRELookupTools(Toolset): def set_client(self, client: MITREAttackClient): self.mitre_client = client - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def lookup_technique(self, technique_id: str) -> dict | None: """ Look up a MITRE ATT&CK technique by ID. @@ -956,7 +956,7 @@ def lookup_technique(self, technique_id: str) -> dict | None: "detection": technique.detection, } - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def get_related_techniques(self, technique_id: str) -> list[dict]: """ Get techniques related to the given technique. @@ -975,7 +975,7 @@ def get_related_techniques(self, technique_id: str) -> list[dict]: return self.mitre_client.get_related_techniques(technique_id) - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def identify_tactical_gaps(self) -> list[dict]: """ Identify which attack tactics haven't been investigated yet. @@ -1001,7 +1001,7 @@ def identify_tactical_gaps(self) -> list[dict]: for t in uncovered[:10] ] - @dn.tool_method + @dn.tool_method # type: ignore[untyped-decorator] def search_techniques(self, keyword: str) -> list[dict]: """ Search for techniques by keyword. @@ -1027,7 +1027,7 @@ def search_techniques(self, keyword: str) -> list[dict]: ] -@dn.tool() +@dn.tool() # type: ignore[untyped-decorator] async def complete_investigation( summary: str, attack_synopsis: str, @@ -1068,7 +1068,7 @@ async def complete_investigation( return "Investigation completed. Report will be generated." -@dn.tool() +@dn.tool() # type: ignore[untyped-decorator] async def escalate_investigation( reason: str, severity: str, diff --git a/tests/test_generate_readme.py b/tests/test_generate_readme.py index e9490f70..e62fb8c6 100644 --- a/tests/test_generate_readme.py +++ b/tests/test_generate_readme.py @@ -1,5 +1,6 @@ import os import tempfile +from collections.abc import Generator from pathlib import Path import pytest @@ -39,7 +40,7 @@ """ -def test_get_section_content(): +def test_get_section_content() -> None: content = SAMPLE_README start_marker = "" end_marker = "" @@ -51,8 +52,8 @@ def test_get_section_content(): assert end > start -@pytest.fixture -def temp_project(): +@pytest.fixture # type: ignore[untyped-decorator] +def temp_project() -> Generator[Path, None, None]: with tempfile.TemporaryDirectory() as tmpdir: # Create temporary project structure project_dir = Path(tmpdir) @@ -83,7 +84,7 @@ def temp_project(): os.chdir(original_dir) -def test_readme_generation(temp_project): +def test_readme_generation(temp_project: Path) -> None: # Run the generator main() @@ -99,7 +100,7 @@ def test_readme_generation(temp_project): assert "This should not be modified" in content -def test_readme_generation_dry_run(temp_project, capsys): +def test_readme_generation_dry_run(temp_project: Path, capsys: pytest.CaptureFixture[str]) -> None: # Run the generator with --dry-run import sys diff --git a/tests/test_grafana_mcp_windows.py b/tests/test_grafana_mcp_windows.py index eb0b32b2..3e922fb5 100755 --- a/tests/test_grafana_mcp_windows.py +++ b/tests/test_grafana_mcp_windows.py @@ -10,7 +10,7 @@ from datetime import datetime, timedelta -async def test_grafana_mcp_windows_queries(): +async def test_grafana_mcp_windows_queries() -> None: """Test Grafana MCP integration for Windows attack detection.""" # Note: This test demonstrates what queries the agent CAN make From af84c52a49cc88393f8f1ca3e38f33f75bb89fbf Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Tue, 16 Dec 2025 15:31:47 -0700 Subject: [PATCH 3/9] refactor: modularize tools and agent creation, migrate tools to dedicated package **Added:** - Introduced `src/core/` package with `create_investigation_agent` factory for agent instantiation and configuration - Added modular `src/tools/` package: - `actions.py` for investigation completion and escalation actions - `grafana.py` for Grafana and MCP tool integration - `investigation.py` for state management and question engine tools - `mitre.py` for MITRE ATT&CK lookup tools - `observability.py` for Loki and Prometheus query tools - Added `tests/test_mcp_integration.py` for validating MCP connection and tool listing **Changed:** - Refactored `src/agent.py` to delegate agent creation to `core.create_investigation_agent` and utilize new toolset imports - Updated all imports in `src/agent.py`, `src/main.py`, and related modules to use new `src/tools` and `src/core` structure - Updated `README.md` and documentation to emphasize MCP-based querying and service account token usage - Enhanced docstrings and type annotations across models, engines, mitre, and report modules for clarity and API discoverability - Improved agent initialization workflow to prefer MCP tools, fall back gracefully, and provide clearer logging around tool availability **Removed:** - Removed legacy monolithic `src/tools.py`, splitting its logic into specialized modules under `src/tools/` - Eliminated direct references to Loki and Prometheus URLs from configuration and documentation, reflecting the move to MCP-based data source abstraction --- .env.example | 16 +- .gitignore | 6 + README.md | 129 ++-- Taskfile.yaml | 21 +- docs/taskfile_usage.md | 8 +- src/agent.py | 421 +++++-------- src/core/__init__.py | 5 + src/core/create.py | 260 ++++++++ src/engines.py | 103 ++- src/main.py | 63 +- src/mitre.py | 88 ++- src/models.py | 115 +++- src/report.py | 24 +- src/tools.py | 1113 --------------------------------- src/tools/__init__.py | 19 + src/tools/actions.py | 124 ++++ src/tools/grafana.py | 171 +++++ src/tools/investigation.py | 419 +++++++++++++ src/tools/mitre.py | 112 ++++ src/tools/observability.py | 262 ++++++++ tests/test_mcp_integration.py | 77 +++ 21 files changed, 2010 insertions(+), 1546 deletions(-) create mode 100644 src/core/__init__.py create mode 100644 src/core/create.py delete mode 100644 src/tools.py create mode 100644 src/tools/__init__.py create mode 100644 src/tools/actions.py create mode 100644 src/tools/grafana.py create mode 100644 src/tools/investigation.py create mode 100644 src/tools/mitre.py create mode 100644 src/tools/observability.py create mode 100644 tests/test_mcp_integration.py diff --git a/.env.example b/.env.example index a6b3e712..c760f1e3 100644 --- a/.env.example +++ b/.env.example @@ -5,11 +5,12 @@ # Grafana Configuration # ============================================================================ -# Grafana API key for alert polling and dashboard access -GRAFANA_API_KEY=your-grafana-api-key-here # pragma: allowlist secret +# Grafana service account token for API access +# Note: GRAFANA_API_KEY is deprecated, use GRAFANA_SERVICE_ACCOUNT_TOKEN instead +GRAFANA_SERVICE_ACCOUNT_TOKEN=your-grafana-token-here # pragma: allowlist secret # Grafana URL (can also be set via --grafana-url) -# GRAFANA_URL=http://localhost:3000 +GRAFANA_URL=https://grafana.dev.plundr.ai # ============================================================================ # LLM Provider API Keys @@ -41,15 +42,10 @@ DREADNODE_API_KEY=your-dreadnode-api-key-here # pragma: allowlist secret # DREADNODE_PROJECT=ares-soc # ============================================================================ -# Data Source URLs (can also be set via command-line args) +# Note: Loki and Prometheus queries are handled via Grafana MCP +# No separate URLs needed - queries go through the Grafana MCP server # ============================================================================ -# Loki URL for log queries -# LOKI_URL=http://localhost:3100 - -# Prometheus URL for metric queries -# PROMETHEUS_URL=http://localhost:9090 - # ============================================================================ # Investigation Configuration # ============================================================================ diff --git a/.gitignore b/.gitignore index dd1ebc30..970b965c 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,11 @@ # Testing code notebooks/ +test-alerts/ + +# Project-specific ignores +TODO +.tool-versions +reports/ # Custom parquet storage *.parquet diff --git a/README.md b/README.md index 35f8925d..b958c310 100644 --- a/README.md +++ b/README.md @@ -28,24 +28,44 @@ mappings. ## Quick Start +**Prerequisites:** + +- Python 3.11+ +- [uv](https://docs.astral.sh/uv/getting-started/installation/) package manager +- [Task](https://taskfile.dev/installation/) (optional but recommended) +- [1Password CLI](https://developer.1password.com/docs/cli/get-started/) for credential management +- [mcp-grafana](https://github.com/grafana/mcp-grafana) MCP server: `go install github.com/grafana/mcp-grafana/cmd/mcp-grafana@latest` + +**Setup:** + ```bash -# Install +# 1. Clone and install git clone https://github.com/dreadnode/ares.git && cd ares -uv venv && source .venv/bin/activate -uv pip install -e . +uv sync -# Configure API keys in 1Password: -# - "Dreadnode Dev Platform" -> api-key -# - "Grafana" -> api-key -# - "Anthropic" -> api-key +# 2. Configure API keys in 1Password (or set environment variables): +# - "Dreadnode Dev Platform" -> api-key field +# - "Ares Grafana MCP" -> grafana-token field +# - "claude.ai" -> dreadnode-api-key field -# Check config +# 3. Verify configuration task ares:config:check -# Run +# 4. Run the agent (polls Grafana for alerts) task ares:run ``` +**Without 1Password:** + +```bash +# Create .env file with your credentials +cp .env.example .env +# Edit .env with your API keys + +# Run using local environment +task ares:run:local +``` + ## Usage ### Using Taskfile (Recommended) @@ -56,33 +76,52 @@ The easiest way to run Ares is using the provided Taskfile with 1Password integr # Check configuration and 1Password access task ares:config:check -# Run Ares in poll mode (retrieves API keys from 1Password) +# Run Ares in poll mode (retrieves API keys from 1Password automatically) task ares:run -# Investigate a specific alert -task ares:investigate ALERT=alert.json +# Investigate a specific alert from JSON file +task ares:investigate ALERT=test-alerts/example-alert.json # View investigation reports -task ares:reports:list -task ares:reports:latest +task ares:reports:list # List all reports +task ares:reports:latest # Show latest report ``` +**Available Tasks:** + +| Command | Description | +|---------|-------------| +| `task ares:run` | Run agent in poll mode (checks Grafana every 30s for new alerts) | +| `task ares:run:local` | Run using .env file instead of 1Password | +| `task ares:investigate ALERT=` | Investigate a specific alert from JSON file | +| `task ares:config:check` | Verify configuration and 1Password access | +| `task ares:config:show` | Display current configuration (no secrets) | +| `task ares:reports:list` | List all investigation reports | +| `task ares:reports:latest` | Show the most recent report | +| `task ares:reports:clean` | Delete all reports (asks for confirmation) | +| `task ares:mitre:test` | Test MITRE ATT&CK data loading | + See [Taskfile Usage Guide](docs/taskfile_usage.md) for detailed documentation. -### Direct CLI Usage +### Direct CLI Usage (Advanced) #### Poll Mode (Continuous) Run Ares in continuous polling mode to automatically investigate alerts: ```bash -uv run python -m ares \ - --model claude-sonnet-4-20250514 \ - --grafana-url http://grafana:3000 \ - --loki-url http://loki:3100 \ - --prometheus-url http://prometheus:9090 \ - --poll-interval 30 \ - --report-dir ./reports +# Set required environment variables +export GRAFANA_SERVICE_ACCOUNT_TOKEN="your-grafana-token" # pragma: allowlist secret +export ANTHROPIC_API_KEY="your-anthropic-key" # pragma: allowlist secret +export DREADNODE_API_KEY="your-dreadnode-key" # optional # pragma: allowlist secret + +# Run the agent +uv run python -m src \ + --args.model claude-sonnet-4-20250514 \ + --args.grafana-url https://grafana.example.com \ + --args.poll-interval 30 \ + --args.max-steps 150 \ + --args.report-dir ./reports ``` #### Single Alert Investigation @@ -90,21 +129,34 @@ uv run python -m ares \ Investigate a specific alert by providing it as JSON: ```bash -uv run python -m ares investigate-alert alert.json +# Using environment variables (as above) +uv run python -m src investigate-alert test-alerts/example-alert.json \ + --args.model claude-sonnet-4-20250514 \ + --args.grafana-url https://grafana.example.com \ + --args.max-steps 150 ``` ### Command-Line Options -```text ---model LLM model to use (default: claude-sonnet-4-20250514) ---grafana-url Grafana URL (default: http://localhost:3000) ---grafana-api-key Grafana API key (or set GRAFANA_API_KEY env var) ---loki-url Loki URL for log queries (default: http://localhost:3100) ---prometheus-url Prometheus URL for metrics (default: http://localhost:9090) ---poll-interval Seconds between alert polls (default: 30) ---max-steps Maximum agent steps per investigation (default: 150) ---report-dir Directory for markdown reports (default: reports) -``` +**Agent Arguments (`--args.*`):** + +| Option | Default | Description | +|--------|---------|-------------| +| `--args.model` | `claude-sonnet-4-20250514` | LLM model to use | +| `--args.grafana-url` | `https://grafana.dev.plundr.ai` | Grafana URL for alerts and MCP | +| `--args.poll-interval` | `30` | Seconds between alert polls | +| `--args.max-steps` | `150` | Maximum agent steps per investigation | +| `--args.report-dir` | `./reports` | Directory for markdown reports | + +**Dreadnode Platform Arguments (`--dn-args.*`):** + +| Option | Default | Description | +|--------|---------|-------------| +| `--dn-args.server` | `https://platform.dev.plundr.ai/` | Dreadnode platform server URL | +| `--dn-args.token` | from `DREADNODE_API_KEY` | Dreadnode API token | +| `--dn-args.organization` | `ares` | Dreadnode organization name | +| `--dn-args.workspace` | `ares-protocol` | Dreadnode workspace name | +| `--dn-args.project` | `ares-soc` | Dreadnode project name | ## Investigation Workflow @@ -226,9 +278,14 @@ pytest --cov=src tests/ ### Environment Variables -- `GRAFANA_API_KEY`: Grafana API key for alert polling -- `ANTHROPIC_API_KEY` or `OPENAI_API_KEY`: LLM provider API key -- `DREADNODE_API_KEY`: Dreadnode platform token (optional) +| Variable | Required | Description | +|----------|----------|-------------| +| `GRAFANA_URL` | Yes | Grafana instance URL (e.g., `https://grafana.example.com`) | +| `GRAFANA_SERVICE_ACCOUNT_TOKEN` | Yes | Grafana service account token for API access | +| `ANTHROPIC_API_KEY` | Yes | Anthropic API key for Claude models | +| `DREADNODE_API_KEY` | No | Dreadnode platform token for observability | + +**Note:** `GRAFANA_API_KEY` is deprecated. Use `GRAFANA_SERVICE_ACCOUNT_TOKEN` instead. See [Grafana's service account documentation](https://grafana.com/docs/grafana/latest/administration/service-accounts/) for details. ### Supported LLM Models diff --git a/Taskfile.yaml b/Taskfile.yaml index 61ed6954..eb46c637 100644 --- a/Taskfile.yaml +++ b/Taskfile.yaml @@ -14,8 +14,6 @@ vars: # Ares configuration MODEL: '{{.MODEL | default "claude-sonnet-4-20250514"}}' GRAFANA_URL: '{{.GRAFANA_URL | default "https://grafana.dev.plundr.ai"}}' - LOKI_URL: '{{.LOKI_URL | default "http://localhost:3100"}}' - PROMETHEUS_URL: '{{.PROMETHEUS_URL | default "http://localhost:9090"}}' POLL_INTERVAL: '{{.POLL_INTERVAL | default "30"}}' MAX_STEPS: '{{.MAX_STEPS | default "150"}}' REPORT_DIR: '{{.REPORT_DIR | default "./reports"}}' @@ -160,15 +158,13 @@ tasks: # Get API keys from 1Password export DREADNODE_API_KEY=$(op item get "Dreadnode Dev Platform" --fields api-key --reveal) - export GRAFANA_API_KEY=$(op item get "Ares Grafana MCP" --fields grafana-token --reveal 2>/dev/null || echo "") + export GRAFANA_SERVICE_ACCOUNT_TOKEN=$(op item get "Ares Grafana MCP" --fields grafana-token --reveal 2>/dev/null || echo "") export ANTHROPIC_API_KEY=$(op item get "claude.ai" --fields dreadnode-api-key --reveal 2>/dev/null || echo "") # Run Ares using uv uv run python -m src \ --args.model {{.MODEL}} \ --args.grafana-url {{.GRAFANA_URL}} \ - --args.loki-url {{.LOKI_URL}} \ - --args.prometheus-url {{.PROMETHEUS_URL}} \ --args.poll-interval {{.POLL_INTERVAL}} \ --args.max-steps {{.MAX_STEPS}} \ --args.report-dir {{.REPORT_DIR}} \ @@ -202,8 +198,6 @@ tasks: uv run python -m src \ --args.model {{.MODEL}} \ --args.grafana-url {{.GRAFANA_URL}} \ - --args.loki-url {{.LOKI_URL}} \ - --args.prometheus-url {{.PROMETHEUS_URL}} \ --args.poll-interval {{.POLL_INTERVAL}} \ --args.max-steps {{.MAX_STEPS}} \ --args.report-dir {{.REPORT_DIR}} \ @@ -228,15 +222,13 @@ tasks: # Get API keys from 1Password export DREADNODE_API_KEY=$(op item get "Dreadnode Dev Platform" --fields api-key --reveal) - export GRAFANA_API_KEY=$(op item get "Ares Grafana MCP" --fields grafana-token --reveal 2>/dev/null || echo "") + export GRAFANA_SERVICE_ACCOUNT_TOKEN=$(op item get "Ares Grafana MCP" --fields grafana-token --reveal 2>/dev/null || echo "") export ANTHROPIC_API_KEY=$(op item get "claude.ai" --fields dreadnode-api-key --reveal 2>/dev/null || echo "") # Run investigation uv run python -m src investigate-alert {{.ALERT}} \ --args.model {{.MODEL}} \ --args.grafana-url {{.GRAFANA_URL}} \ - --args.loki-url {{.LOKI_URL}} \ - --args.prometheus-url {{.PROMETHEUS_URL}} \ --args.max-steps {{.MAX_STEPS}} \ --args.report-dir {{.REPORT_DIR}} \ --dn-args.server {{.DREADNODE_SERVER}} \ @@ -286,11 +278,11 @@ tasks: echo " Field: 'api-key'" fi - # Check Grafana API key + # Check Grafana service account token if op item get "Ares Grafana MCP" --fields grafana-token --reveal >/dev/null 2>&1; then - echo " ✅ Grafana API key accessible" + echo " ✅ Grafana service account token accessible" else - echo " ⚠️ Grafana API key not found in 1Password" + echo " ⚠️ Grafana service account token not found in 1Password" echo " Item: 'Ares Grafana MCP'" echo " Field: 'grafana-token'" fi @@ -324,8 +316,7 @@ tasks: echo "" echo "Data Sources:" echo " Grafana: {{.GRAFANA_URL}}" - echo " Loki: {{.LOKI_URL}}" - echo " Prometheus: {{.PROMETHEUS_URL}}" + echo " Query Method: Grafana MCP (requires mcp-grafana binary)" echo "" echo "Output:" echo " Reports: {{.REPORT_DIR}}" diff --git a/docs/taskfile_usage.md b/docs/taskfile_usage.md index 6cc0c106..469603c9 100644 --- a/docs/taskfile_usage.md +++ b/docs/taskfile_usage.md @@ -152,9 +152,7 @@ Configuration: Workspace: ares-protocol Project: ares-soc Model: claude-sonnet-4-20250514 - Grafana: http://localhost:3000 - Loki: http://localhost:3100 - Prometheus: http://localhost:9090 + Grafana: https://grafana.dev.plundr.ai Checking 1Password CLI access... ✅ 1Password CLI installed: 2.24.0 @@ -248,9 +246,7 @@ All tasks support the following configuration variables: | Variable | Default | Description | | --- | --- | --- | | `MODEL` | `claude-sonnet-4-20250514` | LLM model to use | -| `GRAFANA_URL` | `http://localhost:3000` | Grafana URL for alerts | -| `LOKI_URL` | `http://localhost:3100` | Loki URL for log queries | -| `PROMETHEUS_URL` | `http://localhost:9090` | Prometheus URL for metrics | +| `GRAFANA_URL` | `https://grafana.dev.plundr.ai` | Grafana URL for alerts | | `POLL_INTERVAL` | `30` | Seconds between alert polls | | `MAX_STEPS` | `150` | Maximum agent steps per investigation | | `REPORT_DIR` | `./reports` | Directory for markdown reports | diff --git a/src/agent.py b/src/agent.py index 36618bf4..50453a4a 100644 --- a/src/agent.py +++ b/src/agent.py @@ -9,203 +9,90 @@ from pathlib import Path import dreadnode as dn -from dreadnode.agent.events import AgentStalled, ToolEnd, ToolStart -from dreadnode.agent.hooks import retry_with_feedback -from dreadnode.agent.stop import tool_use from loguru import logger +from .core import create_investigation_agent from .mitre import MITREAttackClient from .models import InvestigationState -from .tools import ( - GrafanaMCPTools, - GrafanaTools, - InvestigationTools, - LokiTools, - MITRELookupTools, - PrometheusTools, - QuestionEngineTools, - complete_investigation, - escalate_investigation, -) - -# System instructions for the agent -INSTRUCTIONS = """ -You are Ares, an autonomous SOC investigation agent. Your mission is to investigate -security alerts and produce actionable threat intelligence through systematic, -question-driven investigation. - -## Core Investigation Philosophy - -You are driven by TWO QUESTION ENGINES that must guide your every action: - -### 1. MITRE ATT&CK Navigator (generate_mitre_questions) -- Maps evidence to techniques -- Predicts what techniques might follow -- Identifies tactical gaps ("we haven't checked for persistence yet") -- Ensures complete attack lifecycle coverage - -### 2. Pyramid of Pain Climber (generate_pyramid_questions) -- Classifies evidence by how "painful" it is for adversaries to change -- Always pushes you from trivial indicators (hashes, IPs) toward TTPs -- The goal is NOT to collect IOCs - it's to understand BEHAVIOR - -**PRIME DIRECTIVE**: After every batch of evidence, call get_combined_questions() -and let those questions guide your next actions. - -## Investigation Workflow - -### Stage 1: TRIAGE (WHAT is happening?) -1. Parse the alert payload -2. Call get_combined_questions() for initial questions -3. Execute PARALLEL queries to Loki/Prometheus to answer questions -4. Call record_evidence() for each finding -5. Call get_combined_questions() again -6. Repeat until you understand WHAT triggered the alert -7. Call transition_stage("causation") - -### Stage 2: CAUSATION (WHY did it happen?) -1. Call get_combined_questions() for causation questions -2. Expand time windows to find precursor events -3. Execute PARALLEL queries to trace back in time -4. Build timeline with add_timeline_event() -5. Continue until you understand the attack chain -6. Call transition_stage("lateral") - -### Stage 3: LATERAL (What is the SCOPE?) -1. Call get_combined_questions() for scope questions -2. Use track_host_investigation() and track_user_investigation() -3. Check these dimensions in PARALLEL: - - Same host: What else is this host doing? - - Same user: Where else has this user been? - - Same indicators: Where else do these IOCs appear? - - Same timeframe: What else happened during this window? -4. Expand or contract scope based on findings -5. Call transition_stage("synthesis") - -### Stage 4: SYNTHESIS (Generate report) -1. Call get_investigation_summary() to review findings -2. Call assess_pyramid_state() to check if you've climbed to TTPs -3. If stuck at low pyramid levels, generate more questions -4. Call complete_investigation() with full report - -## PARALLEL EXECUTION IS CRITICAL - -You MUST leverage parallelism. When you have multiple questions: -1. Identify questions that can be answered independently -2. Execute ALL independent queries in a SINGLE response -3. This is the power of automation - don't waste it on sequential queries - -Example - GOOD (parallel): -- Query 1: {hostname="web-01"} |= "powershell" -- Query 2: {hostname="web-01"} |= "download" -- Query 3: {job="auth", user="admin"} | json -[Execute all 3 in one tool call batch] - -Example - BAD (sequential): -- Query 1, wait for response -- Query 2, wait for response -- Query 3, wait for response - -## Query Writing - -You write your own LogQL and PromQL queries. NO templates. -Use your knowledge of these query languages. - -LogQL examples: -- {job="syslog", hostname="X"} |= "error" | json -- {namespace="prod"} | json | status >= 400 -- {job="auth"} |~ "(?i)failed|denied" - -PromQL examples: -- rate(http_requests_total{status=~"5.."}[5m]) -- node_cpu_seconds_total{instance="X:9100"} - -## Grafana MCP Tools (Enhanced Querying) - -You have access to enhanced Grafana MCP tools for more powerful querying: - -**Discovery Phase:** -1. list_loki_label_names() - Discover available labels -2. list_loki_label_values(label_name) - Get values for specific labels -3. discover_environment(environment) - Get complete environment structure - -**Investigation Phase:** -1. query_loki_stats(logql) - Check data volume BEFORE querying -2. query_loki_logs(logql, limit, direction) - Query logs with full LogQL support -3. search_attack_indicators(environment) - Pre-built attack indicator searches -4. check_dcsync_activity(environment) - Look for DCSync (Event ID 4662) -5. check_authentication_events(environment) - Check auth events (Event ID 4624) - -**When to use MCP vs Direct Loki:** -- Use MCP tools for: label discovery, stats checks, and convenience methods -- Use direct LokiTools for: custom queries with specific time windows -- Both are valid - choose based on the task - -## Evidence Recording - -For EVERY finding, call record_evidence() with: -1. evidence_type: ip, domain, hash, process, user, file, artifact, tool, technique -2. value: The actual indicator/observation -3. source: The query that found this -4. timestamp: When it occurred (ISO8601) -5. pyramid_level: 1-6 (6 = TTP, the goal!) -6. mitre_techniques: List of technique IDs if known - -## Completion Criteria - -Call complete_investigation() when: -1. get_combined_questions() returns no high-priority questions -2. You have TTPs identified (pyramid level 6) -3. Tactical coverage is reasonable (checked major attack phases) -4. Timeline is coherent -5. Scope is understood - -Call escalate_investigation() if: -- Active, ongoing attack detected -- Scope exceeds investigation capacity -- Human intervention needed -""" -async def log_tool_usage(event: ToolStart): - """Log tool calls for observability.""" - logger.debug(f"Tool call: {event.tool_call.name}") - dn.log_metric(f"tool_{event.tool_call.name}", 1, mode="count") +def build_initial_prompt(alert: dict) -> str: + """Build the initial prompt with alert context. + + Args: + alert: Alert dictionary from Grafana Alertmanager. + + Returns: + Formatted prompt string for agent initialization. + + Example: + >>> alert = { + ... 'labels': {'alertname': 'HighCPU', 'severity': 'warning'}, + ... 'annotations': {'summary': 'CPU usage above 80%'} + ... } + >>> prompt = build_initial_prompt(alert) + >>> 'HighCPU' in prompt + True + """ + labels = alert.get("labels", {}) + annotations = alert.get("annotations", {}) + + alert_name = labels.get("alertname", "Unknown") + severity = labels.get("severity", "unknown") + instance = labels.get("instance", "unknown") + job = labels.get("job", "unknown") + + summary = annotations.get("summary", "No summary provided") + description = annotations.get("description", "No description provided") + + starts_at = alert.get("startsAt", datetime.now(timezone.utc).isoformat()) + + return f""" +ALERT RECEIVED - BEGIN INVESTIGATION + +Alert Name: {alert_name} +Severity: {severity} +Instance: {instance} +Job: {job} +Started At: {starts_at} + +Summary: {summary} +Description: {description} -async def log_tool_result(event: ToolEnd): - """Log tool results.""" - if event.error: - logger.warning(f"Tool {event.tool_call.name} failed: {event.error}") - dn.log_metric("tool_errors", 1, mode="count") +Full Alert Labels: {labels} + +--- +1. First, call get_combined_questions() to generate initial questions +2. Parse the alert to understand what triggered it +3. Query Loki/Prometheus to gather initial evidence around the alert time +4. Record all evidence with record_evidence() +5. Continue following the question engines' guidance -# Hook to handle agent stalling -unstall_hook = retry_with_feedback( - event_type=AgentStalled, - feedback=( - "You seem stuck. Remember:\n" - "1. Call get_combined_questions() to get next questions\n" - "2. Execute queries in PARALLEL to answer those questions\n" - "3. Record evidence with record_evidence()\n" - "4. When done, call complete_investigation() or escalate_investigation()" - ), -) +Remember: Execute queries in PARALLEL when they are independent. +The goal is to reach TTPs (Pyramid level 6), not just collect IOCs. +""" class InvestigationOrchestrator: - """ - Main orchestrator for SOC investigations. + """Main orchestrator for SOC investigations. Creates and manages Dreadnode Agents for investigating alerts. + + Attributes: + model: LLM model identifier string. + grafana_url: Base URL for Grafana instance. + grafana_api_key: API key for Grafana authentication. + mitre_client: Client for MITRE ATT&CK data lookups. + report_dir: Directory path for generated reports. + max_steps: Maximum number of agent steps per investigation. """ def __init__( self, model: str, grafana_url: str, - loki_url: str, - prometheus_url: str, grafana_api_key: str, mitre_client: MITREAttackClient, report_dir: Path, @@ -213,53 +100,81 @@ def __init__( ): self.model = model self.grafana_url = grafana_url - self.loki_url = loki_url - self.prometheus_url = prometheus_url self.grafana_api_key = grafana_api_key self.mitre_client = mitre_client self.report_dir = report_dir self.max_steps = max_steps + self._mcp_client = None + self._mcp_tools = None + + async def _ensure_mcp_connection(self) -> None: + """Ensure MCP connection is established.""" + if self._mcp_client is None: + from .tools import connect_grafana_mcp + + try: + logger.info("Connecting to Grafana MCP server...") + self._mcp_client = await connect_grafana_mcp( + grafana_url=self.grafana_url, + grafana_api_key=self.grafana_api_key, + ) + self._mcp_tools = self._mcp_client.tools + tool_count = len(self._mcp_tools) if self._mcp_tools else 0 + logger.success(f"Grafana MCP connected ({tool_count} tools available)") + except Exception as e: + logger.warning(f"Failed to connect to Grafana MCP: {e}") + logger.warning("Continuing without MCP tools") + self._mcp_tools = None + + async def _shutdown_mcp(self) -> None: + """Shutdown MCP connection if active.""" + if self._mcp_client: + try: + await self._mcp_client.__aexit__(None, None, None) + logger.info("Grafana MCP connection closed") + except Exception as e: + logger.warning(f"Error closing MCP connection: {e}") + finally: + self._mcp_client = None + self._mcp_tools = None async def investigate(self, alert: dict) -> dict: - """ - Run a full investigation on an alert. + """Run a full investigation on an alert. Creates a new agent for this investigation and runs it until completion or escalation. + + Args: + alert: The alert dictionary containing labels, annotations, and metadata. + + Returns: + A dict containing: + - investigation_id: Unique identifier for this investigation + - status: "completed" or "escalated" + - report_path: Path to the generated markdown report + - evidence_count: Number of evidence items collected + - techniques_identified: List of MITRE ATT&CK technique IDs + - highest_pyramid_level: Highest Pyramid of Pain level reached (1-6) + + Raises: + TimeoutError: If investigation exceeds the configured timeout. """ investigation_id = f"inv-{uuid.uuid4().hex[:8]}" alert_name = alert.get("labels", {}).get("alertname", "unknown") logger.info(f"Starting investigation {investigation_id} for alert: {alert_name}") + # Ensure MCP connection is ready + await self._ensure_mcp_connection() + # Create investigation state state = InvestigationState( investigation_id=investigation_id, alert=alert, ) - # Create toolsets with state - loki_tools = LokiTools(base_url=self.loki_url) - prometheus_tools = PrometheusTools(base_url=self.prometheus_url) - grafana_tools = GrafanaTools( - base_url=self.grafana_url, - api_key=self.grafana_api_key, - ) - grafana_mcp_tools = GrafanaMCPTools(datasource_uid="loki") - - investigation_tools = InvestigationTools() - investigation_tools.set_state(state) - - question_tools = QuestionEngineTools() - question_tools.set_engines(self.mitre_client, state) - - mitre_tools = MITRELookupTools() - mitre_tools.set_client(self.mitre_client) - - # Build initial prompt with alert context - initial_prompt = self._build_initial_prompt(alert) + initial_prompt = build_initial_prompt(alert) - # Create the agent with dn.run(tags=["soc-investigation", alert_name]): dn.log_params( model=self.model, @@ -267,42 +182,37 @@ async def investigate(self, alert: dict) -> dict: alert_name=alert_name, alert_severity=alert.get("labels", {}).get("severity", "unknown"), max_steps=self.max_steps, + mcp_tools_available=self._mcp_tools is not None, + mcp_tool_count=len(self._mcp_tools) if self._mcp_tools else 0, ) dn.log_input("alert", alert) - agent = dn.Agent( - name="Ares SOC Investigator", + agent = create_investigation_agent( model=self.model, - instructions=INSTRUCTIONS, - tools=[ - loki_tools, - prometheus_tools, - grafana_tools, - grafana_mcp_tools, - investigation_tools, - question_tools, - mitre_tools, - complete_investigation, - escalate_investigation, - ], - hooks=[ - log_tool_usage, - log_tool_result, - unstall_hook, - ], - stop_conditions=[ - tool_use("complete_investigation"), - tool_use("escalate_investigation"), - ], + grafana_url=self.grafana_url, + grafana_api_key=self.grafana_api_key, + mitre_client=self.mitre_client, + state=state, + grafana_mcp_tools=self._mcp_tools, + max_steps=self.max_steps, ) - # Run the investigation + # Run the investigation with timeout try: - result = await agent.run( - initial_prompt, - max_steps=self.max_steps, + import asyncio + + logger.info(f"Starting agent.run() with max_steps={self.max_steps}") + + # Add a generous timeout (5 minutes per step) + timeout_seconds = self.max_steps * 300 # 5 minutes per step + + result = await asyncio.wait_for( + agent.run(initial_prompt), + timeout=timeout_seconds, ) + logger.success(f"Agent completed: {result.steps} steps, {result.stop_reason}") + # Generate report report_path = self._generate_report(state, result) @@ -318,56 +228,21 @@ async def investigate(self, alert: dict) -> dict: "highest_pyramid_level": state.highest_pyramid_level, } + except asyncio.TimeoutError as timeout_err: + logger.error(f"Investigation timed out after {timeout_seconds}s") + logger.error( + f"Current state: {len(state.evidence)} evidence items, {len(state.timeline)} timeline events" + ) + dn.log_metric("investigation_timeout", 1) + raise TimeoutError( + f"Investigation exceeded {timeout_seconds}s timeout" + ) from timeout_err + except Exception as e: logger.error(f"Investigation failed: {e}") dn.log_metric("investigation_failed", 1) raise - def _build_initial_prompt(self, alert: dict) -> str: - """Build the initial prompt with alert context.""" - labels = alert.get("labels", {}) - annotations = alert.get("annotations", {}) - - # Extract key information - alert_name = labels.get("alertname", "Unknown") - severity = labels.get("severity", "unknown") - instance = labels.get("instance", "unknown") - job = labels.get("job", "unknown") - - summary = annotations.get("summary", "No summary provided") - description = annotations.get("description", "No description provided") - - starts_at = alert.get("startsAt", datetime.now(timezone.utc).isoformat()) - - return f""" -ALERT RECEIVED - BEGIN INVESTIGATION - -Alert Name: {alert_name} -Severity: {severity} -Instance: {instance} -Job: {job} -Started At: {starts_at} - -Summary: {summary} - -Description: {description} - -Full Alert Labels: {labels} - ---- - -Begin your investigation: - -1. First, call get_combined_questions() to generate initial questions -2. Parse the alert to understand what triggered it -3. Query Loki/Prometheus to gather initial evidence around the alert time -4. Record all evidence with record_evidence() -5. Continue following the question engines' guidance - -Remember: Execute queries in PARALLEL when they are independent. -The goal is to reach TTPs (Pyramid level 6), not just collect IOCs. -""" - def _generate_report(self, state: InvestigationState, _result) -> Path: """Generate the markdown investigation report.""" from .report import MarkdownReportGenerator diff --git a/src/core/__init__.py b/src/core/__init__.py new file mode 100644 index 00000000..db546728 --- /dev/null +++ b/src/core/__init__.py @@ -0,0 +1,5 @@ +"""Core agent creation and configuration.""" + +from .create import create_investigation_agent + +__all__ = ["create_investigation_agent"] diff --git a/src/core/create.py b/src/core/create.py new file mode 100644 index 00000000..775bfa9b --- /dev/null +++ b/src/core/create.py @@ -0,0 +1,260 @@ +"""Factory for creating investigation agents with presets.""" + +import dreadnode as dn +from dreadnode.agent import Agent +from dreadnode.agent.events import AgentStalled, ToolEnd, ToolStart +from dreadnode.agent.hooks import retry_with_feedback +from dreadnode.agent.stop import tool_use +from dreadnode.agent.thread import Thread +from loguru import logger + +from src.mitre import MITREAttackClient +from src.models import InvestigationState +from src.tools import ( + GrafanaTools, + InvestigationTools, + MITRELookupTools, + QuestionEngineTools, + complete_investigation, + escalate_investigation, +) + +SYSTEM_INSTRUCTIONS = """ +You are Ares, an autonomous SOC investigation agent. Your mission is to investigate +security alerts and produce actionable threat intelligence through systematic, +question-driven investigation. + +## Core Investigation Philosophy + +You are driven by TWO QUESTION ENGINES that must guide your every action: + +### 1. MITRE ATT&CK Navigator (generate_mitre_questions) +- Maps evidence to techniques +- Predicts what techniques might follow +- Identifies tactical gaps ("we haven't checked for persistence yet") +- Ensures complete attack lifecycle coverage + +### 2. Pyramid of Pain Climber (generate_pyramid_questions) +- Classifies evidence by how "painful" it is for adversaries to change +- Always pushes you from trivial indicators (hashes, IPs) toward TTPs +- The goal is NOT to collect IOCs - it's to understand BEHAVIOR + +**PRIME DIRECTIVE**: After every batch of evidence, call get_combined_questions() +and let those questions guide your next actions. + +## Investigation Workflow + +### Stage 1: TRIAGE (WHAT is happening?) +1. Parse the alert payload +2. Call get_combined_questions() for initial questions +3. Execute PARALLEL queries to Loki/Prometheus to answer questions +4. Call record_evidence() for each finding +5. Call get_combined_questions() again +6. Repeat until you understand WHAT triggered the alert +7. Call transition_stage("causation") + +### Stage 2: CAUSATION (WHY did it happen?) +1. Call get_combined_questions() for causation questions +2. Expand time windows to find precursor events +3. Execute PARALLEL queries to trace back in time +4. Build timeline with add_timeline_event() +5. Continue until you understand the attack chain +6. Call transition_stage("lateral") + +### Stage 3: LATERAL (What is the SCOPE?) +1. Call get_combined_questions() for scope questions +2. Use track_host_investigation() and track_user_investigation() +3. Check these dimensions in PARALLEL: + - Same host: What else is this host doing? + - Same user: Where else has this user been? + - Same indicators: Where else do these IOCs appear? + - Same timeframe: What else happened during this window? +4. Expand or contract scope based on findings +5. Call transition_stage("synthesis") + +### Stage 4: SYNTHESIS (Generate report) +1. Call get_investigation_summary() to review findings +2. Call assess_pyramid_state() to check if you've climbed to TTPs +3. If stuck at low pyramid levels, generate more questions +4. Call complete_investigation() with full report + +## PARALLEL EXECUTION IS CRITICAL + +You MUST leverage parallelism. When you have multiple questions: +1. Identify questions that can be answered independently +2. Execute ALL independent queries in a SINGLE response +3. This is the power of automation - don't waste it on sequential queries + +Example - GOOD (parallel): +- Query 1: {hostname="web-01"} |= "powershell" +- Query 2: {hostname="web-01"} |= "download" +- Query 3: {job="auth", user="admin"} | json +[Execute all 3 in one tool call batch] + +Example - BAD (sequential): +- Query 1, wait for response +- Query 2, wait for response +- Query 3, wait for response + +## Query Writing + +You write your own LogQL and PromQL queries. NO templates. +Use your knowledge of these query languages. + +LogQL examples: +- {job="syslog", hostname="X"} |= "error" | json +- {namespace="prod"} | json | status >= 400 +- {job="auth"} |~ "(?i)failed|denied" + +PromQL examples: +- rate(http_requests_total{status=~"5.."}[5m]) +- node_cpu_seconds_total{instance="X:9100"} + +## Grafana MCP Tools (Enhanced Querying) + +You have access to Grafana MCP tools that provide direct integration with Grafana's +data sources. These tools include: + +**Common MCP tools:** +- mcp__grafana__list_loki_label_names - Discover available log labels +- mcp__grafana__list_loki_label_values - Get values for specific labels +- mcp__grafana__query_loki_stats - Check log volume before querying +- mcp__grafana__query_loki_logs - Query Loki logs with full LogQL support +- mcp__grafana__list_prometheus_label_names - Discover Prometheus labels +- mcp__grafana__query_prometheus - Run PromQL queries + +**Best Practices:** +- Check available tools at the start of investigation +- Use label discovery tools to understand the environment +- Check stats before running large queries +- Prefer MCP tools when available as they're more reliable than HTTP API calls + +## Evidence Recording + +For EVERY finding, call record_evidence() with: +1. evidence_type: ip, domain, hash, process, user, file, artifact, tool, technique +2. value: The actual indicator/observation +3. source: The query that found this +4. timestamp: When it occurred (ISO8601) +5. pyramid_level: 1-6 (6 = TTP, the goal!) +6. mitre_techniques: List of technique IDs if known + +## Completion Criteria + +Call complete_investigation() when: +1. get_combined_questions() returns no high-priority questions +2. You have TTPs identified (pyramid level 6) +3. Tactical coverage is reasonable (checked major attack phases) +4. Timeline is coherent +5. Scope is understood + +Call escalate_investigation() if: +- Active, ongoing attack detected +- Scope exceeds investigation capacity +- Human intervention needed +""" + + +async def log_tool_usage(event: ToolStart): + """Log tool calls for observability.""" + if hasattr(event, "tool_call") and event.tool_call: + logger.info(f"🔧 Tool call: {event.tool_call.name}") + dn.log_metric(f"tool_{event.tool_call.name}", 1, mode="count") + + +async def log_tool_result(event: ToolEnd): + """Log tool results.""" + if hasattr(event, "tool_call") and event.tool_call: + if hasattr(event, "error") and event.error: + logger.warning(f"❌ Tool {event.tool_call.name} failed: {event.error}") + dn.log_metric("tool_errors", 1, mode="count") + else: + logger.info(f"✅ Tool {event.tool_call.name} completed") + + +unstall_hook = retry_with_feedback( + event_type=AgentStalled, + feedback=( + "You seem stuck. Remember:\n" + "1. Call get_combined_questions() to get next questions\n" + "2. Execute queries in PARALLEL to answer those questions\n" + "3. Record evidence with record_evidence()\n" + "4. When done, call complete_investigation() or escalate_investigation()" + ), +) + + +def create_investigation_agent( + model: str, + grafana_url: str, + grafana_api_key: str, + mitre_client: MITREAttackClient, + state: InvestigationState, + grafana_mcp_tools: list | None = None, + max_steps: int = 150, +) -> Agent: + """ + Create a configured investigation agent. + + Args: + model: LLM model to use + grafana_url: Grafana base URL + grafana_api_key: Grafana API key + mitre_client: Initialized MITRE ATT&CK client + state: Investigation state object + grafana_mcp_tools: Optional list of Grafana MCP tools (from MCPClient) + max_steps: Maximum agent steps + + Returns: + Configured agent ready to investigate + """ + grafana_tools = GrafanaTools( + base_url=grafana_url, + api_key=grafana_api_key, + ) + + investigation_tools = InvestigationTools() + investigation_tools.set_state(state) + + question_tools = QuestionEngineTools() + question_tools.set_engines(mitre_client, state) + + mitre_tools = MITRELookupTools() + mitre_tools.set_client(mitre_client) + + # Build tool list + tools: list = [ + grafana_tools, + investigation_tools, + question_tools, + mitre_tools, + complete_investigation, + escalate_investigation, + ] + + # Add Grafana MCP tools if available + if grafana_mcp_tools: + logger.info(f"Adding {len(grafana_mcp_tools)} Grafana MCP tools to agent") + tools.extend(grafana_mcp_tools) + else: + logger.warning( + "No Grafana MCP tools available - agent will have limited query capabilities" + ) + + return dn.Agent( + name="Ares SOC Investigator", + model=model, + instructions=SYSTEM_INSTRUCTIONS, + max_steps=max_steps, + tools=tools, + hooks=[ + log_tool_usage, + log_tool_result, + unstall_hook, + ], + stop_conditions=[ + tool_use("complete_investigation"), + tool_use("escalate_investigation"), + ], + thread=Thread(), # type: ignore[call-arg] + ) diff --git a/src/engines.py b/src/engines.py index 6f9946db..0d1aaca4 100644 --- a/src/engines.py +++ b/src/engines.py @@ -19,7 +19,14 @@ class ClimbStrategy(TypedDict): - """Type definition for pyramid climbing strategies.""" + """Type definition for pyramid climbing strategies. + + Attributes: + template: Question template string with {value} placeholder. + target: Target PyramidLevel to climb toward. + insight: Description of what insight this strategy provides. + elevation: Numeric elevation score indicating climb difficulty. + """ template: str target: PyramidLevel @@ -28,14 +35,16 @@ class ClimbStrategy(TypedDict): class MITRENavigator: - """ - MITRE ATT&CK-driven question generator. + """MITRE ATT&CK-driven question generator. Generates questions that: 1. Map evidence to techniques 2. Predict follow-on techniques based on attack patterns 3. Identify tactical gaps in the investigation 4. Ensure complete attack lifecycle coverage + + Attributes: + mitre: MITREAttackClient instance for technique lookups. """ def __init__(self, mitre_client: MITREAttackClient): @@ -45,7 +54,25 @@ def generate_questions( self, state: InvestigationState, ) -> list[InvestigativeQuestion]: - """Generate MITRE-informed investigative questions.""" + """Generate MITRE-informed investigative questions. + + Args: + state: Current investigation state with evidence and identified techniques. + + Returns: + List of InvestigativeQuestion objects prioritized by relevance. + + Example: + >>> navigator = MITRENavigator(mitre_client) + >>> questions = navigator.generate_questions(state) + >>> questions[0].source + + >>> questions[0].target_technique + 'T1003.001' + + See Also: + PyramidClimber.generate_questions: For Pyramid of Pain questions. + """ questions = [] # 1. Follow-on technique questions @@ -269,8 +296,7 @@ def _generate_mapping_questions( class PyramidClimber: - """ - Pyramid of Pain-driven question generator. + """Pyramid of Pain-driven question generator. Focuses on ELEVATING understanding from trivial indicators to TTPs. @@ -289,7 +315,29 @@ def generate_questions( self, state: InvestigationState, ) -> list[InvestigativeQuestion]: - """Generate questions that climb the Pyramid of Pain.""" + """Generate questions that climb the Pyramid of Pain. + + Args: + state: Current investigation state with evidence to elevate. + + Returns: + List of InvestigativeQuestion objects that promote climbing to higher + pyramid levels, prioritized by elevation potential. + + Example: + >>> climber = PyramidClimber() + >>> questions = climber.generate_questions(state) + >>> questions[0].source + + >>> questions[0].current_pyramid_level + 2 + >>> questions[0].target_pyramid_level + 5 + + See Also: + MITRENavigator.generate_questions: For MITRE ATT&CK questions. + assess_pyramid_state: For current pyramid position assessment. + """ questions = [] for ev in state.evidence: @@ -325,10 +373,17 @@ def generate_questions( return questions def assess_pyramid_state(self, state: InvestigationState) -> dict: - """ - Assess the current Pyramid of Pain state. + """Assess the current Pyramid of Pain state. + + Args: + state: Current investigation state to assess. - Returns distribution and recommendations. + Returns: + A dict containing: + - distribution: Count of evidence at each pyramid level + - elevation_score: Score from 0-1 indicating how high we've climbed + - total_evidence: Total number of evidence items + - recommendations: List of suggestions for improving pyramid position """ distribution = dict.fromkeys(PyramidLevel, 0) @@ -359,7 +414,12 @@ def assess_pyramid_state(self, state: InvestigationState) -> dict: class QuestionPrioritizer: - """Combines and prioritizes questions from all engines.""" + """Combines and prioritizes questions from all engines. + + Attributes: + mitre: MITRENavigator instance for MITRE-driven questions. + pyramid: PyramidClimber instance for Pyramid of Pain questions. + """ def __init__( self, @@ -373,7 +433,14 @@ def generate_all_questions( self, state: InvestigationState, ) -> list[InvestigativeQuestion]: - """Generate questions from both engines and prioritize.""" + """Generate questions from both engines and prioritize. + + Args: + state: Current investigation state. + + Returns: + Combined list of questions sorted by priority score (highest first). + """ questions = [] # Generate from both engines @@ -390,10 +457,16 @@ def get_parallel_batch( questions: list[InvestigativeQuestion], max_size: int = 5, ) -> list[InvestigativeQuestion]: - """ - Get a batch of questions that can be executed in parallel. + """Get a batch of questions that can be executed in parallel. + + Selects high-priority questions that don't conflict with each other. + + Args: + questions: List of questions to select from. + max_size: Maximum number of questions to include in batch. - Selects high-priority questions that don't conflict. + Returns: + List of questions that can be safely parallelized, limited to max_size. """ batch: list[InvestigativeQuestion] = [] diff --git a/src/main.py b/src/main.py index e3f6c8ce..9b08025e 100644 --- a/src/main.py +++ b/src/main.py @@ -21,56 +21,47 @@ @dataclass class Args: - """Investigation agent arguments.""" + """Investigation agent arguments. + + Attributes: + model: LLM model to use (supports litellm format). + grafana_url: Grafana URL for alert polling and MCP connection. + grafana_api_key: Grafana API key (or set GRAFANA_API_KEY env var). + poll_interval: Seconds between alert polling cycles. + max_steps: Maximum agent steps per investigation. + report_dir: Directory for markdown reports. + """ model: str = "claude-sonnet-4-20250514" - """LLM model to use (supports litellm format)""" - - grafana_url: str = "http://localhost:3000" - """Grafana URL for alert polling""" - + grafana_url: str = "https://grafana.dev.plundr.ai" grafana_api_key: str = "" - """Grafana API key (or set GRAFANA_API_KEY env var)""" - - loki_url: str = "http://localhost:3100" - """Loki URL for log queries""" - - prometheus_url: str = "http://localhost:9090" - """Prometheus URL for metric queries""" - poll_interval: int = 30 - """Seconds between alert polling cycles""" - max_steps: int = 150 - """Maximum agent steps per investigation""" - report_dir: str = "reports" - """Directory for markdown reports""" @dataclass class DreadnodeArgs: - """Dreadnode platform arguments.""" + """Dreadnode platform arguments. + + Attributes: + server: Dreadnode platform server URL. + token: Dreadnode API token (or set DREADNODE_API_KEY env var). + organization: Dreadnode organization name. + workspace: Dreadnode workspace name. + project: Dreadnode project name. + console: Enable console output. + """ server: str = "https://platform.dev.plundr.ai/" - """Dreadnode platform server URL""" - token: str = "" - """Dreadnode API token (or set DREADNODE_API_KEY env var)""" - organization: str = "ares" - """Dreadnode organization name""" - workspace: str = "ares-protocol" - """Dreadnode workspace name""" - project: str = "ares-soc" - """Dreadnode project name""" - console: bool = True - """Enable console output""" +# Cyclopts decorator typing not yet fully supported by type checkers @app.default # type: ignore[untyped-decorator] async def main( *, @@ -114,14 +105,11 @@ async def main( logger.info("=" * 60) logger.info(f"Model: {args.model}") logger.info(f"Grafana: {args.grafana_url}") - logger.info(f"Loki: {args.loki_url}") - logger.info(f"Prometheus: {args.prometheus_url}") logger.info(f"Poll Interval: {args.poll_interval}s") logger.info(f"Max Steps: {args.max_steps}") logger.info(f"Report Dir: {args.report_dir}") logger.info("=" * 60) - # Import here to avoid circular imports from .agent import InvestigationOrchestrator from .mitre import MITREAttackClient from .tools import GrafanaTools @@ -130,6 +118,7 @@ async def main( logger.info("Loading MITRE ATT&CK data from STIX repository...") mitre_client = MITREAttackClient() await mitre_client.load() + # Accessing protected members for logging/diagnostics only - not modifying internal state techniques_count = len(mitre_client._techniques) # noqa: SLF001 tactics_count = len(mitre_client._tactics) # noqa: SLF001 logger.success(f"Loaded {techniques_count} techniques, {tactics_count} tactics") @@ -142,8 +131,6 @@ async def main( orchestrator = InvestigationOrchestrator( model=args.model, grafana_url=args.grafana_url, - loki_url=args.loki_url, - prometheus_url=args.prometheus_url, grafana_api_key=grafana_api_key, mitre_client=mitre_client, report_dir=report_dir, @@ -217,6 +204,7 @@ async def main( await asyncio.sleep(args.poll_interval) +# Cyclopts decorator typing not yet fully supported by type checkers @app.command # type: ignore[untyped-decorator] async def investigate_alert( alert_json: str, @@ -270,8 +258,6 @@ async def investigate_alert( orchestrator = InvestigationOrchestrator( model=args.model, grafana_url=args.grafana_url, - loki_url=args.loki_url, - prometheus_url=args.prometheus_url, grafana_api_key=grafana_api_key, mitre_client=mitre_client, report_dir=report_dir, @@ -288,6 +274,7 @@ async def investigate_alert( logger.success(f" Report: {result['report_path']}") +# Cyclopts decorator typing not yet fully supported by type checkers @app.command # type: ignore[untyped-decorator] def version() -> None: """Print version information.""" diff --git a/src/mitre.py b/src/mitre.py index 7222e62b..46c7ea70 100644 --- a/src/mitre.py +++ b/src/mitre.py @@ -11,9 +11,22 @@ @dataclass class Technique: - """A MITRE ATT&CK technique.""" + """A MITRE ATT&CK technique. + + Attributes: + id: Technique ID (e.g., T1059.001). + name: Human-readable technique name. + description: Detailed description of the technique. + tactic: Tactic short name (e.g., "execution"). + tactic_id: Tactic ID (e.g., "TA0002"). + platforms: List of platforms this technique applies to. + data_sources: List of data sources for detecting this technique. + detection: Detection guidance text. + is_subtechnique: Whether this is a sub-technique. + parent_technique: Parent technique ID if this is a sub-technique. + """ - id: str # e.g., T1059.001 + id: str name: str description: str tactic: str @@ -27,20 +40,29 @@ class Technique: @dataclass class Tactic: - """A MITRE ATT&CK tactic.""" + """A MITRE ATT&CK tactic. + + Attributes: + id: Tactic ID (e.g., TA0001). + name: Human-readable tactic name. + shortname: Short name used in kill chain phases. + description: Detailed description of the tactic. + """ - id: str # e.g., TA0001 + id: str name: str shortname: str description: str class MITREAttackClient: - """ - Client for MITRE ATT&CK data. + """Client for MITRE ATT&CK data. Fetches live data from the MITRE STIX repository and provides lookups for techniques, tactics, and relationships. + + Attributes: + TACTIC_MAP: Class-level mapping of tactic shortnames to IDs. """ def __init__(self): @@ -166,15 +188,63 @@ def _parse_tactic(self, obj: dict) -> None: self._tactics[tactic_id] = tactic def get_technique(self, technique_id: str) -> Technique | None: - """Get a technique by ID.""" + """Get a technique by ID. + + Args: + technique_id: MITRE technique ID (e.g., "T1059.001"). + + Returns: + Technique object if found, None otherwise. + + Example: + >>> client.get_technique("T1059.001") + Technique(id='T1059.001', name='PowerShell', ...) + + See Also: + get_tactic: For retrieving tactic information. + get_techniques_for_tactic: For all techniques in a tactic. + """ return self._techniques.get(technique_id) def get_tactic(self, tactic_id: str) -> Tactic | None: - """Get a tactic by ID.""" + """Get a tactic by ID. + + Args: + tactic_id: MITRE tactic ID (e.g., "TA0002"). + + Returns: + Tactic object if found, None otherwise. + + Example: + >>> client.get_tactic("TA0002") + Tactic(id='TA0002', name='Execution', shortname='execution', ...) + + See Also: + get_technique: For retrieving technique information. + get_techniques_for_tactic: For all techniques in this tactic. + """ return self._tactics.get(tactic_id) def get_techniques_for_tactic(self, tactic_id: str) -> list[Technique]: - """Get all techniques in a tactic.""" + """Get all techniques in a tactic. + + Args: + tactic_id: MITRE tactic ID (e.g., "TA0002"). + + Returns: + List of Technique objects for the tactic. + + Example: + >>> techniques = client.get_techniques_for_tactic("TA0002") + >>> len(techniques) + 42 + >>> techniques[0].name + 'PowerShell' + + See Also: + get_tactic: For retrieving tactic details. + get_uncovered_tactics: For finding gaps in coverage. + """ tech_ids = self._tactic_to_techniques.get(tactic_id, []) return [self._techniques[tid] for tid in tech_ids if tid in self._techniques] diff --git a/src/models.py b/src/models.py index 6aae7529..2ece8739 100644 --- a/src/models.py +++ b/src/models.py @@ -7,19 +7,26 @@ class PyramidLevel(IntEnum): - """ - Levels of the Pyramid of Pain. + """Levels of the Pyramid of Pain. Higher levels are harder for adversaries to change. The goal is always to climb toward TTPs. + + Attributes: + HASH_VALUES: Level 1 - Trivial to change. + IP_ADDRESSES: Level 2 - Easy to change. + DOMAIN_NAMES: Level 3 - Simple to change. + NETWORK_HOST_ARTIFACTS: Level 4 - Annoying to change. + TOOLS: Level 5 - Challenging to change. + TTPS: Level 6 - Tough to change (the goal). """ - HASH_VALUES = 1 # Trivial to change - IP_ADDRESSES = 2 # Easy to change - DOMAIN_NAMES = 3 # Simple to change - NETWORK_HOST_ARTIFACTS = 4 # Annoying to change - TOOLS = 5 # Challenging to change - TTPS = 6 # Tough to change! + HASH_VALUES = 1 + IP_ADDRESSES = 2 + DOMAIN_NAMES = 3 + NETWORK_HOST_ARTIFACTS = 4 + TOOLS = 5 + TTPS = 6 class QuestionSource(Enum): @@ -52,12 +59,25 @@ class InvestigationStage(Enum): @dataclass class Evidence: - """A piece of evidence discovered during investigation.""" + """A piece of evidence discovered during investigation. + + Attributes: + id: Unique identifier for this evidence. + type: Type of evidence - one of: ip, domain, hash, process, user, + file, artifact, tool, technique. + value: The actual evidence value. + source: Query or tool that found this evidence. + timestamp: When this evidence was observed (optional). + pyramid_level: Classification on Pyramid of Pain scale (1-6). + mitre_techniques: Associated MITRE ATT&CK technique IDs. + confidence: Confidence score between 0.0 and 1.0. + metadata: Additional context about this evidence. + """ id: str - type: str # ip, domain, hash, process, user, file, artifact, tool, technique + type: str value: str - source: str # Query or tool that found this + source: str timestamp: datetime | None pyramid_level: PyramidLevel mitre_techniques: list[str] = field(default_factory=list) @@ -80,7 +100,17 @@ def to_dict(self) -> dict: @dataclass class TimelineEvent: - """An event in the investigation timeline.""" + """An event in the investigation timeline. + + Attributes: + id: Unique identifier for this timeline event. + timestamp: When this event occurred. + description: Human-readable description of the event. + evidence_ids: List of evidence IDs supporting this event. + mitre_techniques: MITRE ATT&CK technique IDs associated with this event. + confidence: Confidence score between 0.0 and 1.0. + source: Source of this event (e.g., "investigation", "alert"). + """ id: str timestamp: datetime @@ -104,10 +134,31 @@ def to_dict(self) -> dict: @dataclass class InvestigativeQuestion: - """ - A question that drives the investigation forward. + """A question that drives the investigation forward. Generated by the MITRE Navigator and Pyramid Climber engines. + + Attributes: + id: Unique identifier for this question. + text: The question text. + source: Which engine generated this question. + rationale: Why this question matters. + target_insight: What we hope to learn from answering this. + target_technique: MITRE technique this question targets (MITRE-specific). + technique_chain_from: Technique this follows from (MITRE-specific). + current_pyramid_level: Starting pyramid level (Pyramid-specific). + target_pyramid_level: Target pyramid level (Pyramid-specific). + pyramid_elevation_score: Score 0-1 for elevation potential. + mitre_coverage_score: Score 0-1 for MITRE coverage value. + confidence_impact_score: Score 0-1 for confidence improvement potential. + urgency_score: Score 0-1 for time sensitivity. + state: Current state of this question. + created_at: When this question was generated. + answered_at: When this question was answered. + generated_from_evidence_ids: Evidence that prompted this question. + generated_from_question_id: Parent question if part of a chain. + answer_evidence_ids: Evidence collected while answering. + answer_summary: Summary of the answer. """ id: str @@ -116,30 +167,24 @@ class InvestigativeQuestion: rationale: str target_insight: str - # MITRE-specific target_technique: str | None = None technique_chain_from: str | None = None - # Pyramid-specific current_pyramid_level: int | None = None target_pyramid_level: int | None = None - # Priority scoring components (0-1 scale) pyramid_elevation_score: float = 0.0 mitre_coverage_score: float = 0.0 confidence_impact_score: float = 0.0 urgency_score: float = 0.0 - # State state: QuestionState = QuestionState.PENDING created_at: datetime = field(default_factory=datetime.utcnow) answered_at: datetime | None = None - # Relationships generated_from_evidence_ids: list[str] = field(default_factory=list) generated_from_question_id: str | None = None - # Results answer_evidence_ids: list[str] = field(default_factory=list) answer_summary: str | None = None @@ -185,11 +230,31 @@ def to_dict(self) -> dict: @dataclass class InvestigationState: - """ - Mutable state for an investigation. + """Mutable state for an investigation. This is the central state object that tracks everything discovered during the investigation. + + Attributes: + investigation_id: Unique identifier for this investigation. + alert: The original alert dictionary that triggered investigation. + stage: Current investigation stage (triage, causation, lateral, synthesis). + started_at: When the investigation began. + evidence: List of all evidence collected. + timeline: List of timeline events in chronological order. + questions: List of all investigative questions generated. + executed_queries: Log of all queries executed. + identified_techniques: Set of MITRE ATT&CK technique IDs found. + identified_tactics: Set of MITRE ATT&CK tactic IDs found. + queried_hosts: Set of hosts that have been investigated. + queried_users: Set of users that have been investigated. + queried_data_sources: Set of data sources queried. + technique_names: Cached mapping of technique IDs to names. + technique_to_tactic: Cached mapping of techniques to their tactics. + escalated: Whether investigation was escalated to human analyst. + escalation_reason: Reason for escalation if applicable. + attack_synopsis: Summary of the attack for the report. + recommendations: List of recommended actions. """ investigation_id: str @@ -197,28 +262,22 @@ class InvestigationState: stage: InvestigationStage = InvestigationStage.TRIAGE started_at: datetime = field(default_factory=datetime.utcnow) - # Evidence and timeline evidence: list[Evidence] = field(default_factory=list) timeline: list[TimelineEvent] = field(default_factory=list) - # Question tracking questions: list[InvestigativeQuestion] = field(default_factory=list) - # Query tracking executed_queries: list[dict] = field(default_factory=list) - # Coverage tracking identified_techniques: set[str] = field(default_factory=set) identified_tactics: set[str] = field(default_factory=set) queried_hosts: set[str] = field(default_factory=set) queried_users: set[str] = field(default_factory=set) queried_data_sources: set[str] = field(default_factory=set) - # MITRE lookups (cached for report) technique_names: dict[str, str] = field(default_factory=dict) technique_to_tactic: dict[str, str] = field(default_factory=dict) - # Completion escalated: bool = False escalation_reason: str | None = None attack_synopsis: str | None = None diff --git a/src/report.py b/src/report.py index c3bcaf78..237ca8c8 100644 --- a/src/report.py +++ b/src/report.py @@ -31,14 +31,25 @@ class MarkdownReportGenerator: - """Generates local markdown reports from investigation results.""" + """Generates local markdown reports from investigation results. + + Attributes: + output_dir: Directory where reports will be written. + """ def __init__(self, output_dir: Path): self.output_dir = Path(output_dir) self.output_dir.mkdir(exist_ok=True) def generate(self, state: InvestigationState) -> Path: - """Generate the full markdown report.""" + """Generate the full markdown report. + + Args: + state: Investigation state containing all findings. + + Returns: + Path to the generated markdown report file. + """ timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S") alert_name = state.alert.get("labels", {}).get("alertname", "unknown") # Sanitize filename @@ -52,7 +63,14 @@ def generate(self, state: InvestigationState) -> Path: return filepath def _build_report(self, state: InvestigationState) -> str: - """Build the full report content.""" + """Build the full report content. + + Args: + state: Investigation state to generate report from. + + Returns: + Complete markdown report as a string. + """ sections = [ self._header(state), self._executive_summary(state), diff --git a/src/tools.py b/src/tools.py deleted file mode 100644 index 088262ed..00000000 --- a/src/tools.py +++ /dev/null @@ -1,1113 +0,0 @@ -""" -Toolsets for Ares SOC Investigation Agent. - -Following Dreadnode SDK patterns - tools are exposed to the agent -for interacting with data sources and managing investigation state. -""" - -import contextlib -from datetime import datetime, timedelta, timezone - -import dreadnode as dn -import httpx -from dreadnode.agent.tools.base import Toolset -from loguru import logger - -from .engines import MITRENavigator, PyramidClimber -from .mitre import MITREAttackClient -from .models import ( - Evidence, - InvestigationStage, - InvestigationState, - PyramidLevel, - TimelineEvent, -) - - -class LokiTools(Toolset): # type: ignore[misc] - """Tools for querying Loki log aggregation system.""" - - base_url: str - timeout: int = 30 - - @dn.tool_method # type: ignore[untyped-decorator] - async def query_logs( - self, - logql: str, - start_time: str, - end_time: str, - limit: int = 500, - ) -> dict: - """ - Execute a LogQL query against Loki. - - Write your own LogQL queries to investigate the logs. - No templates - use your knowledge of the query language. - - Examples: - - {job="syslog", hostname="web-01"} |= "error" - - {namespace="prod"} | json | status >= 400 - - {job="auth"} |~ "(?i)failed|denied" | logfmt - - Args: - logql: The LogQL query string - start_time: ISO8601 timestamp for query start (e.g., "2024-01-15T10:00:00Z") - end_time: ISO8601 timestamp for query end - limit: Maximum number of log lines to return (default 500) - - Returns: - Query results with log streams and entries - """ - dn.log_metric("loki_queries", 1, mode="count") - logger.info(f"Loki query: {logql}") - - try: - async with httpx.AsyncClient(timeout=self.timeout) as client: - response = await client.get( - f"{self.base_url}/loki/api/v1/query_range", - params={ - "query": logql, - "start": start_time, - "end": end_time, - "limit": limit, - }, - ) - response.raise_for_status() - result = response.json() - - result_count = len(result.get("data", {}).get("result", [])) - dn.log_metric("loki_results", result_count) - - return result - - except httpx.HTTPError as e: - logger.error(f"Loki query failed: {e}") - return {"error": str(e), "data": {"result": []}} - - @dn.tool_method # type: ignore[untyped-decorator] - async def query_logs_around_timestamp( - self, - logql: str, - timestamp: str, - window_minutes: int = 5, - limit: int = 500, - ) -> dict: - """ - Query logs within a time window around a specific timestamp. - - Useful for investigating what happened before/after a specific event. - - Args: - logql: The LogQL query string - timestamp: ISO8601 timestamp to center the query on - window_minutes: Minutes before and after the timestamp (default 5) - limit: Maximum number of log lines - - Returns: - Query results centered on the timestamp - """ - center = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) - start = (center - timedelta(minutes=window_minutes)).isoformat() - end = (center + timedelta(minutes=window_minutes)).isoformat() - - return await self.query_logs( - logql=logql, - start_time=start, - end_time=end, - limit=limit, - ) - - @dn.tool_method # type: ignore[untyped-decorator] - async def get_label_values(self, label: str) -> list[str]: - """ - Get all values for a specific Loki label. - - Useful for discovering what hosts, jobs, or namespaces exist. - - Args: - label: The label name (e.g., "hostname", "job", "namespace") - - Returns: - List of label values - """ - try: - async with httpx.AsyncClient(timeout=self.timeout) as client: - response = await client.get( - f"{self.base_url}/loki/api/v1/label/{label}/values", - ) - response.raise_for_status() - return response.json().get("data", []) - except httpx.HTTPError as e: - logger.error(f"Failed to get label values: {e}") - return [] - - -class PrometheusTools(Toolset): # type: ignore[misc] - """Tools for querying Prometheus metrics.""" - - base_url: str - timeout: int = 30 - - @dn.tool_method # type: ignore[untyped-decorator] - async def query_instant( - self, - promql: str, - time: str | None = None, - ) -> dict: - """ - Execute an instant PromQL query. - - Write your own PromQL queries to investigate metrics. - No templates - use your knowledge of the query language. - - Examples: - - node_cpu_seconds_total{instance="web-01:9100"} - - rate(http_requests_total{status=~"5.."}[5m]) - - up{job="kubernetes-pods"} - - Args: - promql: The PromQL query string - time: Optional evaluation timestamp (ISO8601). If not provided, uses current time. - - Returns: - Instant query results - """ - dn.log_metric("prometheus_queries", 1, mode="count") - logger.info(f"Prometheus instant query: {promql}") - - params = {"query": promql} - if time: - params["time"] = time - - try: - async with httpx.AsyncClient(timeout=self.timeout) as client: - response = await client.get( - f"{self.base_url}/api/v1/query", - params=params, - ) - response.raise_for_status() - return response.json() - except httpx.HTTPError as e: - logger.error(f"Prometheus query failed: {e}") - return {"error": str(e), "data": {"result": []}} - - @dn.tool_method # type: ignore[untyped-decorator] - async def query_range( - self, - promql: str, - start_time: str, - end_time: str, - step: str = "1m", - ) -> dict: - """ - Execute a range PromQL query for time series data. - - Args: - promql: The PromQL query string - start_time: ISO8601 start timestamp - end_time: ISO8601 end timestamp - step: Query resolution step (e.g., "1m", "5m", "1h") - - Returns: - Range query results with time series - """ - dn.log_metric("prometheus_queries", 1, mode="count") - logger.info(f"Prometheus range query: {promql}") - - try: - async with httpx.AsyncClient(timeout=self.timeout) as client: - response = await client.get( - f"{self.base_url}/api/v1/query_range", - params={ - "query": promql, - "start": start_time, - "end": end_time, - "step": step, - }, - ) - response.raise_for_status() - return response.json() - except httpx.HTTPError as e: - logger.error(f"Prometheus range query failed: {e}") - return {"error": str(e), "data": {"result": []}} - - @dn.tool_method # type: ignore[untyped-decorator] - async def get_metric_names(self, search: str | None = None) -> list[str]: - """ - Get available Prometheus metric names. - - Args: - search: Optional search string to filter metric names - - Returns: - List of metric names - """ - try: - async with httpx.AsyncClient(timeout=self.timeout) as client: - response = await client.get( - f"{self.base_url}/api/v1/label/__name__/values", - ) - response.raise_for_status() - metrics = response.json().get("data", []) - - if search: - search_lower = search.lower() - metrics = [m for m in metrics if search_lower in m.lower()] - - return metrics[:100] # Limit results - except httpx.HTTPError as e: - logger.error(f"Failed to get metric names: {e}") - return [] - - -class GrafanaTools(Toolset): # type: ignore[misc] - """Tools for interacting with Grafana alerting.""" - - base_url: str - api_key: str - timeout: int = 30 - - def _headers(self) -> dict: - return {"Authorization": f"Bearer {self.api_key}"} - - @dn.tool_method # type: ignore[untyped-decorator] - async def get_firing_alerts(self) -> list[dict]: - """ - Get all currently firing alerts from Grafana. - - Returns: - List of firing alert instances with labels, annotations, and values - """ - try: - async with httpx.AsyncClient(timeout=self.timeout) as client: - response = await client.get( - f"{self.base_url}/api/alertmanager/grafana/api/v2/alerts", - headers=self._headers(), - params={"active": "true"}, - ) - response.raise_for_status() - alerts = response.json() - - dn.log_metric("alerts_polled", len(alerts)) - return alerts - - except httpx.HTTPError as e: - logger.error(f"Failed to get alerts: {e}") - return [] - - @dn.tool_method # type: ignore[untyped-decorator] - async def get_alert_history( - self, - _hours: int = 24, - ) -> list[dict]: - """ - Get alert history from Grafana. - - Args: - hours: How many hours of history to retrieve - - Returns: - List of historical alert instances - """ - try: - async with httpx.AsyncClient(timeout=self.timeout) as client: - response = await client.get( - f"{self.base_url}/api/v1/provisioning/alert-rules", - headers=self._headers(), - ) - response.raise_for_status() - return response.json() - except httpx.HTTPError as e: - logger.error(f"Failed to get alert history: {e}") - return [] - - -class GrafanaMCPTools(Toolset): # type: ignore[misc] - """ - Tools for interacting with Grafana via MCP (Model Context Protocol). - - Provides enhanced capabilities for querying Loki datasources, discovering - labels, checking log volumes, and searching for security indicators. - - These are wrapper tools that guide the agent to use the native - mcp__grafana__* tools that are available in the environment. - """ - - datasource_uid: str = "loki" - - @dn.tool_method # type: ignore[untyped-decorator] - def list_loki_label_names_guide(self) -> str: - """ - Guide for listing available Loki label names. - - This tool provides instructions on how to discover labels in your - Loki environment using the native MCP tool. - - Returns: - Instructions for using mcp__grafana__list_loki_label_names - """ - dn.log_metric("grafana_mcp_label_names_guide", 1, mode="count") - - return f""" -To list available Loki label names, use the MCP tool: - -mcp__grafana__list_loki_label_names( - datasourceUid="{self.datasource_uid}", - startRfc3339=, - endRfc3339= -) - -This will return label names like: environment, deployment, host, job, namespace, etc. - -Common labels to check: -- environment (staging, production, dev) -- deployment (service/app deployments) -- host (hostnames) -- job (log collection jobs) -- namespace (Kubernetes namespaces) -""" - - @dn.tool_method # type: ignore[untyped-decorator] - def list_loki_label_values_guide(self, label_name: str) -> str: - """ - Guide for listing values for a specific Loki label. - - Args: - label_name: The label to get values for (e.g., "environment", "host", "job") - - Returns: - Instructions for using mcp__grafana__list_loki_label_values - """ - dn.log_metric("grafana_mcp_label_values_guide", 1, mode="count") - - return f""" -To list values for label '{label_name}', use the MCP tool: - -mcp__grafana__list_loki_label_values( - datasourceUid="{self.datasource_uid}", - labelName="{label_name}", - startRfc3339=, - endRfc3339= -) - -This will return all values for the '{label_name}' label in your environment. -""" - - @dn.tool_method # type: ignore[untyped-decorator] - def query_loki_stats_guide(self, logql_selector: str) -> str: - """ - Guide for querying Loki log statistics. - - Args: - logql_selector: LogQL label selector (e.g., '{{environment="staging"}}') - - Returns: - Instructions for using mcp__grafana__query_loki_stats - """ - dn.log_metric("grafana_mcp_stats_guide", 1, mode="count") - - return f""" -To get statistics for logs matching: {logql_selector} - -Use the MCP tool: - -mcp__grafana__query_loki_stats( - datasourceUid="{self.datasource_uid}", - logql="{logql_selector}", - startRfc3339=, - endRfc3339= -) - -This returns: -- streams: Number of log streams -- chunks: Number of chunks -- entries: Total log entries -- bytes: Total byte volume - -Use this BEFORE querying logs to understand data volume. -""" - - @dn.tool_method # type: ignore[untyped-decorator] - def query_loki_logs_guide(self, logql: str, limit: int = 10) -> str: - """ - Guide for querying Loki logs with LogQL. - - Args: - logql: Full LogQL query with filters - limit: Maximum results (default 10) - - Returns: - Instructions for using mcp__grafana__query_loki_logs - """ - dn.log_metric("grafana_mcp_logs_guide", 1, mode="count") - - return f""" -To query Loki logs with: {logql} - -Use the MCP tool: - -mcp__grafana__query_loki_logs( - datasourceUid="{self.datasource_uid}", - logql="{logql}", - limit={limit}, - direction="backward", # or "forward" for oldest-first - startRfc3339=, - endRfc3339= -) - -LogQL Examples: -- {{environment="staging"}} |~ "(?i)(exploit|payload|shell)" -- {{environment="staging"}} | json | event_id="4662" -- {{environment="staging"}} | json | event_id="4624" -""" - - @dn.tool_method # type: ignore[untyped-decorator] - def search_attack_indicators_guide(self, environment: str = "staging") -> str: - """ - Guide for searching attack indicators in an environment. - - Args: - environment: Environment to search (default "staging") - - Returns: - Pre-built LogQL queries for common attack indicators - """ - dn.log_metric("grafana_mcp_attack_search_guide", 1, mode="count") - - return f""" -To search for attack indicators in {environment}, use these queries with -mcp__grafana__query_loki_logs: - -1. General Attack Indicators: - logql='{{environment="{environment}"}} |~ - "(?i)(exploit|payload|shell|mimikatz|impacket|meterpreter|cobalt|beacon)"' - -2. DCSync Activity (Event ID 4662): - logql='{{environment="{environment}"}} | json | event_id="4662"' - -3. Authentication Events (Event ID 4624): - logql='{{environment="{environment}"}} | json | event_id="4624"' - -4. Failed Authentication (Event ID 4625): - logql='{{environment="{environment}"}} | json | event_id="4625"' - -5. PowerShell Activity: - logql='{{environment="{environment}"}} |~ - "(?i)(powershell|pwsh|invoke-|iex)"' - -6. Suspicious Network Activity: - logql='{{environment="{environment}"}} |~ - "(?i)(nc |netcat|ncat|curl.*sh|wget.*sh)"' - -All queries should use datasourceUid="{self.datasource_uid}" -""" - - @dn.tool_method # type: ignore[untyped-decorator] - def discover_environment_guide(self, environment: str = "staging") -> str: - """ - Guide for discovering environment structure. - - Args: - environment: Environment name to discover - - Returns: - Step-by-step guide for environment discovery - """ - dn.log_metric("grafana_mcp_discovery_guide", 1, mode="count") - - return f""" -To discover the {environment} environment structure, follow these steps: - -1. List available labels: - mcp__grafana__list_loki_label_names( - datasourceUid="{self.datasource_uid}") - -2. For each important label, get its values: - - environment: mcp__grafana__list_loki_label_values( - datasourceUid="{self.datasource_uid}", labelName="environment") - - deployment: mcp__grafana__list_loki_label_values( - datasourceUid="{self.datasource_uid}", labelName="deployment") - - host: mcp__grafana__list_loki_label_values( - datasourceUid="{self.datasource_uid}", labelName="host") - - job: mcp__grafana__list_loki_label_values( - datasourceUid="{self.datasource_uid}", labelName="job") - - namespace: mcp__grafana__list_loki_label_values( - datasourceUid="{self.datasource_uid}", labelName="namespace") - -3. Check data volume: - mcp__grafana__query_loki_stats( - datasourceUid="{self.datasource_uid}", - logql='{{environment="{environment}"}}') - -4. Query sample logs: - mcp__grafana__query_loki_logs( - datasourceUid="{self.datasource_uid}", - logql='{{environment="{environment}"}}', limit=10) - -This will give you a complete picture of the environment structure. -""" - - -class InvestigationTools(Toolset): # type: ignore[misc] - """ - Tools for managing investigation state. - - These tools record evidence, build the timeline, and track - MITRE mappings and Pyramid of Pain levels. - """ - - state: InvestigationState | None = None - - def set_state(self, state: InvestigationState): - """Set the investigation state (called by orchestrator).""" - self.state = state - - @dn.tool_method # type: ignore[untyped-decorator] - def record_evidence( - self, - evidence_type: str, - value: str, - source: str, - timestamp: str | None, - pyramid_level: int, - mitre_techniques: list[str] | None = None, - confidence: float = 0.5, - ) -> str: - """ - Record a piece of evidence discovered during investigation. - - CALL THIS FOR EVERY FINDING. Evidence types include: - - ip, domain, hash, url (IOCs) - - process, file, user, service (host artifacts) - - artifact, certificate, user_agent (network artifacts) - - tool, malware (tools) - - technique, behavior (TTPs) - - Pyramid levels (higher = more valuable): - 1. Hash Values (trivial to change) - 2. IP Addresses (easy) - 3. Domain Names (simple) - 4. Network/Host Artifacts (annoying) - 5. Tools (challenging) - 6. TTPs (tough - this is the goal!) - - Args: - evidence_type: Type of evidence (ip, domain, hash, process, etc.) - value: The actual evidence value - source: What query or tool found this - timestamp: ISO8601 timestamp of when this occurred (can be None) - pyramid_level: Pyramid of Pain level 1-6 - mitre_techniques: Optional list of MITRE technique IDs (e.g., ["T1059.001"]) - confidence: Confidence score 0.0-1.0 - - Returns: - Evidence ID for reference - """ - if not self.state: - return "ERROR: No investigation state" - - evidence_id = f"ev-{len(self.state.evidence):04d}" - - ts = None - if timestamp: - with contextlib.suppress(ValueError): - ts = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) - - ev = Evidence( - id=evidence_id, - type=evidence_type, - value=value, - source=source, - timestamp=ts, - pyramid_level=PyramidLevel(min(max(pyramid_level, 1), 6)), - mitre_techniques=mitre_techniques or [], - confidence=confidence, - ) - - self.state.evidence.append(ev) - - # Update technique tracking - if mitre_techniques: - self.state.identified_techniques.update(mitre_techniques) - - # Log to Dreadnode - dn.log_output(f"evidence_{evidence_id}", ev.to_dict()) - dn.log_metric("evidence_count", 1, mode="count") - dn.log_metric("highest_pyramid_level", pyramid_level, mode="max") - - logger.info( - f"Recorded evidence: {evidence_type}={value[:50]}... (pyramid level {pyramid_level})" - ) - - return evidence_id - - @dn.tool_method # type: ignore[untyped-decorator] - def add_timeline_event( - self, - timestamp: str, - description: str, - evidence_ids: list[str], - mitre_techniques: list[str] | None = None, - confidence: float = 0.5, - ) -> str: - """ - Add an event to the investigation timeline. - - Build a coherent timeline of what happened and when. - - Args: - timestamp: ISO8601 timestamp of when this occurred - description: Human-readable description of what happened - evidence_ids: List of evidence IDs supporting this event - mitre_techniques: MITRE technique IDs for this event - confidence: Confidence score 0.0-1.0 - - Returns: - Timeline event ID - """ - if not self.state: - return "ERROR: No investigation state" - - event_id = f"tl-{len(self.state.timeline):04d}" - - try: - ts = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) - except ValueError: - ts = datetime.now(timezone.utc) - - event = TimelineEvent( - id=event_id, - timestamp=ts, - description=description, - evidence_ids=evidence_ids, - mitre_techniques=mitre_techniques or [], - confidence=confidence, - ) - - self.state.timeline.append(event) - self.state.timeline.sort(key=lambda e: e.timestamp) - - dn.log_metric("timeline_events", 1, mode="count") - - logger.info(f"Timeline event: {description[:50]}...") - - return event_id - - @dn.tool_method # type: ignore[untyped-decorator] - def transition_stage(self, new_stage: str) -> str: - """ - Transition to a new investigation stage. - - Stages in order: - 1. triage - WHAT is happening - 2. causation - WHY it happened - 3. lateral - What is the SCOPE - 4. synthesis - Generate report - - Args: - new_stage: One of: triage, causation, lateral, synthesis - - Returns: - Confirmation message - """ - if not self.state: - return "ERROR: No investigation state" - - old_stage = self.state.stage - self.state.stage = InvestigationStage(new_stage) - - dn.log_metric(f"stage_{new_stage}_entered", 1) - dn.tag(f"stage:{new_stage}") - - logger.info(f"Stage transition: {old_stage.value} -> {new_stage}") - - return f"Transitioned from {old_stage.value} to {new_stage}" - - @dn.tool_method # type: ignore[untyped-decorator] - def get_investigation_summary(self) -> dict: - """ - Get a summary of the current investigation state. - - Use this to understand what you've discovered so far. - - Returns: - Summary with evidence count, techniques, pyramid state, etc. - """ - if not self.state: - return {"error": "No investigation state"} - - return self.state.to_summary() - - @dn.tool_method # type: ignore[untyped-decorator] - def track_host_investigation(self, hostname: str) -> str: - """ - Mark a host as being investigated for lateral scope. - - Args: - hostname: The hostname being investigated - - Returns: - Suggested queries for this host - """ - if not self.state: - return "ERROR: No investigation state" - - self.state.queried_hosts.add(hostname) - dn.log_metric("hosts_investigated", 1, mode="count") - - return f""" -Host '{hostname}' marked for investigation. Suggested queries: - -Loki: -- {{hostname="{hostname}"}} |= "error" | json -- {{hostname="{hostname}", job="auth"}} | json -- {{hostname="{hostname}"}} |~ "(?i)(fail|denied|unauthorized)" - -Prometheus: -- node_cpu_seconds_total{{instance=~"{hostname}.*"}} -- node_network_transmit_bytes_total{{instance=~"{hostname}.*"}} -- process_cpu_seconds_total{{instance=~"{hostname}.*"}} -""" - - @dn.tool_method # type: ignore[untyped-decorator] - def track_user_investigation(self, username: str) -> str: - """ - Mark a user as being investigated for lateral scope. - - Args: - username: The username being investigated - - Returns: - Suggested queries for this user - """ - if not self.state: - return "ERROR: No investigation state" - - self.state.queried_users.add(username) - dn.log_metric("users_investigated", 1, mode="count") - - return f""" -User '{username}' marked for investigation. Suggested queries: - -Loki: -- {{job="auth"}} |= "{username}" | json -- {{job="syslog"}} |= "{username}" | json -- {{job="audit"}} | json | user="{username}" -""" - - -class QuestionEngineTools(Toolset): # type: ignore[misc] - """ - Tools for the question engines that drive the investigation. - - These are the CORE drivers - call them frequently to get - the next questions to investigate. - """ - - mitre_navigator: MITRENavigator | None = None - pyramid_climber: PyramidClimber | None = None - state: InvestigationState | None = None - - def set_engines( - self, - mitre_client: MITREAttackClient, - state: InvestigationState, - ): - """Initialize engines with MITRE client and state.""" - self.mitre_navigator = MITRENavigator(mitre_client) - self.pyramid_climber = PyramidClimber() - self.state = state - - @dn.tool_method # type: ignore[untyped-decorator] - def generate_mitre_questions(self) -> list[dict]: - """ - Generate investigative questions based on MITRE ATT&CK framework. - - This is a CORE DRIVER of the investigation. Call this after - recording evidence to get the next questions. - - The MITRE Navigator generates questions about: - 1. Follow-on techniques (what might come next in the attack) - 2. Tactical gaps (what attack phases haven't we checked) - 3. Evidence mapping (what technique does this evidence indicate) - - Returns: - List of prioritized questions with rationale - """ - if not self.mitre_navigator or not self.state: - return [{"error": "Engines not initialized"}] - - dn.log_metric("mitre_question_calls", 1, mode="count") - - questions = self.mitre_navigator.generate_questions(self.state) - questions.sort(key=lambda q: q.priority_score, reverse=True) - - return [q.to_dict() for q in questions[:10]] - - @dn.tool_method # type: ignore[untyped-decorator] - def generate_pyramid_questions(self) -> list[dict]: - """ - Generate questions to climb the Pyramid of Pain. - - This is a CORE DRIVER of the investigation. Call this after - recording evidence to get questions that elevate understanding. - - The Pyramid Climber generates questions that move from: - - Hash Values (trivial) -> Tools/TTPs - - IP Addresses (easy) -> Domains/Infrastructure/Tools - - Domains (simple) -> Infrastructure patterns/Tools - - Artifacts (annoying) -> Tools/TTPs - - Tools (challenging) -> TTPs - - The GOAL is always to reach TTPs (level 6). - - Returns: - List of questions prioritized by elevation potential - """ - if not self.pyramid_climber or not self.state: - return [{"error": "Engines not initialized"}] - - dn.log_metric("pyramid_question_calls", 1, mode="count") - - questions = self.pyramid_climber.generate_questions(self.state) - questions.sort(key=lambda q: q.priority_score, reverse=True) - - return [q.to_dict() for q in questions[:10]] - - @dn.tool_method # type: ignore[untyped-decorator] - def assess_pyramid_state(self) -> dict: - """ - Assess the current Pyramid of Pain state of the investigation. - - Use this to check if you're stuck at low-level indicators - or successfully climbing toward TTPs. - - Returns: - Assessment with distribution, elevation score, and recommendations - """ - if not self.pyramid_climber or not self.state: - return {"error": "Engines not initialized"} - - return self.pyramid_climber.assess_pyramid_state(self.state) - - @dn.tool_method # type: ignore[untyped-decorator] - def get_combined_questions(self, max_questions: int = 10) -> list[dict]: - """ - Get prioritized questions from BOTH engines combined. - - This is the recommended way to drive the investigation - - get questions from both MITRE and Pyramid engines, combined - and sorted by priority. - - Args: - max_questions: Maximum number of questions to return - - Returns: - Combined, prioritized list of questions - """ - if not self.mitre_navigator or not self.pyramid_climber or not self.state: - return [{"error": "Engines not initialized"}] - - mitre_qs = self.mitre_navigator.generate_questions(self.state) - pyramid_qs = self.pyramid_climber.generate_questions(self.state) - - all_questions = mitre_qs + pyramid_qs - all_questions.sort(key=lambda q: q.priority_score, reverse=True) - - dn.log_metric("combined_questions_generated", len(all_questions)) - - return [q.to_dict() for q in all_questions[:max_questions]] - - -class MITRELookupTools(Toolset): # type: ignore[misc] - """Tools for looking up MITRE ATT&CK data.""" - - mitre_client: MITREAttackClient | None = None - - def set_client(self, client: MITREAttackClient): - self.mitre_client = client - - @dn.tool_method # type: ignore[untyped-decorator] - def lookup_technique(self, technique_id: str) -> dict | None: - """ - Look up a MITRE ATT&CK technique by ID. - - Args: - technique_id: The technique ID (e.g., "T1059.001", "T1105") - - Returns: - Technique details including name, description, tactic, and data sources - """ - if not self.mitre_client: - return {"error": "MITRE client not initialized"} - - technique = self.mitre_client.get_technique(technique_id) - if not technique: - return None - - return { - "id": technique.id, - "name": technique.name, - "description": technique.description, - "tactic": technique.tactic, - "tactic_id": technique.tactic_id, - "platforms": technique.platforms, - "data_sources": technique.data_sources, - "detection": technique.detection, - } - - @dn.tool_method # type: ignore[untyped-decorator] - def get_related_techniques(self, technique_id: str) -> list[dict]: - """ - Get techniques related to the given technique. - - Useful for understanding what other techniques might appear - alongside the one you've identified. - - Args: - technique_id: The technique ID to find relations for - - Returns: - List of related techniques with relationship type - """ - if not self.mitre_client: - return [{"error": "MITRE client not initialized"}] - - return self.mitre_client.get_related_techniques(technique_id) - - @dn.tool_method # type: ignore[untyped-decorator] - def identify_tactical_gaps(self) -> list[dict]: - """ - Identify which attack tactics haven't been investigated yet. - - Use this to ensure complete attack lifecycle coverage. - - Returns: - List of uncovered tactics with example techniques - """ - if not self.mitre_client: - return [{"error": "MITRE client not initialized"}] - - # Need access to state for identified techniques - # This would typically be passed in, simplified here - uncovered = self.mitre_client.get_all_tactics() - - return [ - { - "tactic_id": t.id, - "tactic_name": t.name, - "description": t.description, - } - for t in uncovered[:10] - ] - - @dn.tool_method # type: ignore[untyped-decorator] - def search_techniques(self, keyword: str) -> list[dict]: - """ - Search for techniques by keyword. - - Args: - keyword: Search term to find in technique names/descriptions - - Returns: - Matching techniques - """ - if not self.mitre_client: - return [{"error": "MITRE client not initialized"}] - - matches = self.mitre_client.search_by_keyword(keyword) - - return [ - { - "id": t.id, - "name": t.name, - "tactic": t.tactic, - } - for t in matches - ] - - -@dn.tool() # type: ignore[untyped-decorator] -async def complete_investigation( - summary: str, - attack_synopsis: str, - recommendations: list[str], - confidence: str, -) -> str: - """ - Complete the investigation and signal report generation. - - Call this when you have: - 1. A clear timeline of events - 2. Identified TTPs with MITRE mappings - 3. Assessed scope and blast radius - 4. Produced actionable intelligence - - Args: - summary: Executive summary (2-3 sentences) - attack_synopsis: Description of what happened - recommendations: List of recommended actions - confidence: Overall confidence level (high/medium/low with explanation) - - Returns: - Confirmation message - """ - dn.log_metric("investigation_completed", 1) - dn.log_output( - "completion_summary", - { - "summary": summary, - "attack_synopsis": attack_synopsis, - "recommendations": recommendations, - "confidence": confidence, - }, - ) - - logger.success("Investigation completed") - - return "Investigation completed. Report will be generated." - - -@dn.tool() # type: ignore[untyped-decorator] -async def escalate_investigation( - reason: str, - severity: str, - current_findings: str, - immediate_actions: list[str], -) -> str: - """ - Escalate the investigation for human analyst review. - - Call this if: - - You identify an active, ongoing attack - - The scope exceeds investigation capacity - - You need human analyst intervention - - Critical infrastructure is at risk - - Args: - reason: Why escalation is needed - severity: critical, high, or medium - current_findings: Summary of what you've found so far - immediate_actions: Actions that should be taken immediately - - Returns: - Confirmation message - """ - dn.log_metric("investigation_escalated", 1) - dn.tag(f"escalation:{severity}") - dn.tag("needs_human_review") - - dn.log_output( - "escalation", - { - "reason": reason, - "severity": severity, - "findings": current_findings, - "immediate_actions": immediate_actions, - "escalated_at": datetime.now(timezone.utc).isoformat(), - }, - ) - - logger.warning(f"Investigation escalated: {reason}") - - return f"Investigation escalated with severity={severity}. Human analyst notified." diff --git a/src/tools/__init__.py b/src/tools/__init__.py new file mode 100644 index 00000000..25e210dd --- /dev/null +++ b/src/tools/__init__.py @@ -0,0 +1,19 @@ +"""Tools for Ares SOC Investigation Agent.""" + +from .actions import complete_investigation, escalate_investigation +from .grafana import GrafanaTools, connect_grafana_mcp +from .investigation import InvestigationTools, QuestionEngineTools +from .mitre import MITRELookupTools +from .observability import LokiTools, PrometheusTools + +__all__ = [ + "GrafanaTools", + "InvestigationTools", + "LokiTools", + "MITRELookupTools", + "PrometheusTools", + "QuestionEngineTools", + "complete_investigation", + "connect_grafana_mcp", + "escalate_investigation", +] diff --git a/src/tools/actions.py b/src/tools/actions.py new file mode 100644 index 00000000..f0402d73 --- /dev/null +++ b/src/tools/actions.py @@ -0,0 +1,124 @@ +"""Investigation completion and escalation actions.""" + +from datetime import datetime, timezone + +import dreadnode as dn +from loguru import logger + + +@dn.tool() # type: ignore[untyped-decorator] +async def complete_investigation( + summary: str, + attack_synopsis: str, + recommendations: list[str], + confidence: str, +) -> str: + """Complete the investigation and signal report generation. + + Call this when you have: + 1. A clear timeline of events + 2. Identified TTPs with MITRE mappings + 3. Assessed scope and blast radius + 4. Produced actionable intelligence + + Args: + summary: Executive summary (2-3 sentences). + attack_synopsis: Description of what happened. + recommendations: List of recommended actions. + confidence: Overall confidence level (high/medium/low with explanation). + + Returns: + Confirmation message. + + Example: + >>> await complete_investigation( + ... summary="Detected PowerShell-based reconnaissance on web-01. " + ... "Attack chain progressed to credential access.", + ... attack_synopsis="Attacker used PowerShell to enumerate Active Directory...", + ... recommendations=[ + ... "Rotate credentials for compromised accounts", + ... "Enable PowerShell script block logging", + ... "Review lateral movement paths" + ... ], + ... confidence="High - Multiple corroborating evidence items with MITRE mappings" + ... ) + 'Investigation completed. Report will be generated.' + + See Also: + escalate_investigation: For escalating to human analyst when needed. + """ + dn.log_metric("investigation_completed", 1) + dn.log_output( + "completion_summary", + { + "summary": summary, + "attack_synopsis": attack_synopsis, + "recommendations": recommendations, + "confidence": confidence, + }, + ) + + logger.success("Investigation completed") + + return "Investigation completed. Report will be generated." + + +@dn.tool() # type: ignore[untyped-decorator] +async def escalate_investigation( + reason: str, + severity: str, + current_findings: str, + immediate_actions: list[str], +) -> str: + """Escalate the investigation for human analyst review. + + Call this if: + - You identify an active, ongoing attack + - The scope exceeds investigation capacity + - You need human analyst intervention + - Critical infrastructure is at risk + + Args: + reason: Why escalation is needed. + severity: critical, high, or medium. + current_findings: Summary of what you've found so far. + immediate_actions: Actions that should be taken immediately. + + Returns: + Confirmation message. + + Example: + >>> await escalate_investigation( + ... reason="Active lateral movement detected across 15+ hosts", + ... severity="critical", + ... current_findings="Attacker has Domain Admin credentials and is actively " + ... "exfiltrating data from file servers.", + ... immediate_actions=[ + ... "Isolate compromised domain controller", + ... "Reset all privileged account passwords", + ... "Block C2 IP addresses at firewall" + ... ] + ... ) + 'Investigation escalated with severity=critical. Human analyst notified.' + + See Also: + complete_investigation: For normal investigation completion. + """ + dn.log_metric("investigation_escalated", 1) + dn.tag(f"escalation:{severity}") + dn.tag("needs_human_review") + + dn.log_output( + "escalation", + { + "reason": reason, + "severity": severity, + "findings": current_findings, + "immediate_actions": immediate_actions, + "escalated_at": datetime.now(timezone.utc).isoformat(), + }, + ) + + logger.warning(f"Investigation escalated: {reason}") + + return f"Investigation escalated with severity={severity}. Human analyst notified." diff --git a/src/tools/grafana.py b/src/tools/grafana.py new file mode 100644 index 00000000..a8759437 --- /dev/null +++ b/src/tools/grafana.py @@ -0,0 +1,171 @@ +"""Grafana alerting and MCP tools.""" + +import os +import shutil +import subprocess # nosec B404 +from pathlib import Path + +import dreadnode as dn +import httpx +from dreadnode.agent.tools.base import Toolset +from loguru import logger + + +class GrafanaTools(Toolset): # type: ignore[misc] + """Tools for interacting with Grafana alerting. + + Attributes: + base_url: Base URL of the Grafana instance. + api_key: API key for authentication. + timeout: HTTP request timeout in seconds. + """ + + base_url: str + api_key: str + timeout: int = 30 + + def _headers(self) -> dict: + return {"Authorization": f"Bearer {self.api_key}"} + + @dn.tool_method # type: ignore[untyped-decorator] + async def get_firing_alerts(self) -> list[dict]: + """Get all currently firing alerts from Grafana. + + Returns: + List of firing alert instances with labels, annotations, and values. + """ + try: + async with httpx.AsyncClient(timeout=self.timeout) as client: + response = await client.get( + f"{self.base_url}/api/alertmanager/grafana/api/v2/alerts", + headers=self._headers(), + params={"active": "true"}, + ) + response.raise_for_status() + return response.json() + + except httpx.HTTPError as e: + logger.error(f"Failed to get alerts: {e}") + return [] + + @dn.tool_method # type: ignore[untyped-decorator] + async def get_alert_history( + self, + _hours: int = 24, + ) -> list[dict]: + """Get alert history from Grafana. + + Args: + _hours: How many hours of history to retrieve. + + Returns: + List of historical alert instances. + """ + try: + async with httpx.AsyncClient(timeout=self.timeout) as client: + response = await client.get( + f"{self.base_url}/api/v1/provisioning/alert-rules", + headers=self._headers(), + ) + response.raise_for_status() + return response.json() + except httpx.HTTPError as e: + logger.error(f"Failed to get alert history: {e}") + return [] + + +def find_mcp_grafana() -> str: + """Find the mcp-grafana binary. + + Returns: + Path to mcp-grafana. + + Raises: + RuntimeError: If mcp-grafana cannot be found. + """ + # Try to find in PATH + mcp_path = shutil.which("mcp-grafana") + if mcp_path: + return mcp_path + + # Try GOPATH/bin + try: + result = subprocess.run( # nosec B603, B607 + ["go", "env", "GOPATH"], + capture_output=True, + text=True, + check=True, + ) + gopath = result.stdout.strip() + if gopath: + gopath_bin = Path(gopath) / "bin" / "mcp-grafana" + if gopath_bin.exists(): + return str(gopath_bin) + except (subprocess.CalledProcessError, FileNotFoundError): + pass + + msg = ( + "mcp-grafana not found. Install with: " + "go install github.com/grafana/mcp-grafana/cmd/mcp-grafana@latest" + ) + raise RuntimeError(msg) + + +async def connect_grafana_mcp( + grafana_url: str | None = None, + grafana_api_key: str | None = None, +): # type: ignore[no-untyped-def] + """ + Connect to Grafana MCP server via Rigging. + + Args: + grafana_url: Grafana instance URL (default: from GRAFANA_URL env) + grafana_api_key: Grafana service account token (default: from GRAFANA_SERVICE_ACCOUNT_TOKEN or GRAFANA_API_KEY env) + + Returns: + Connected MCPClient with Grafana tools loaded + + Raises: + RuntimeError: If mcp-grafana binary cannot be found + ValueError: If credentials are not provided + """ + import rigging as rg + + # Get credentials from environment if not provided + grafana_url = grafana_url or os.getenv("GRAFANA_URL", "") + # Prefer GRAFANA_SERVICE_ACCOUNT_TOKEN, fallback to GRAFANA_API_KEY for compatibility + grafana_api_key = ( + grafana_api_key + or os.getenv("GRAFANA_SERVICE_ACCOUNT_TOKEN", "") + or os.getenv("GRAFANA_API_KEY", "") + ) + + if not grafana_url: + msg = "GRAFANA_URL must be provided or set in environment" + raise ValueError(msg) + + if not grafana_api_key: + msg = "GRAFANA_SERVICE_ACCOUNT_TOKEN (or GRAFANA_API_KEY) must be provided or set in environment" + raise ValueError(msg) + + # Find mcp-grafana binary + mcp_grafana_path = find_mcp_grafana() + logger.info(f"Found mcp-grafana at: {mcp_grafana_path}") + + # Connect to MCP server using the new environment variable name + client = rg.mcp( + "stdio", + command=mcp_grafana_path, + args=[], + env={ + "GRAFANA_URL": grafana_url, + "GRAFANA_SERVICE_ACCOUNT_TOKEN": grafana_api_key, + }, + ) + + # Enter the async context to initialize connection + await client.__aenter__() + + logger.success(f"Connected to Grafana MCP server ({len(client.tools)} tools loaded)") + + return client diff --git a/src/tools/investigation.py b/src/tools/investigation.py new file mode 100644 index 00000000..4775070b --- /dev/null +++ b/src/tools/investigation.py @@ -0,0 +1,419 @@ +"""Investigation state management and question engine tools.""" + +import contextlib +from datetime import datetime, timezone + +import dreadnode as dn +from dreadnode.agent.tools.base import Toolset +from loguru import logger + +from src.engines import MITRENavigator, PyramidClimber +from src.mitre import MITREAttackClient +from src.models import Evidence, InvestigationStage, InvestigationState, PyramidLevel, TimelineEvent + + +class InvestigationTools(Toolset): # type: ignore[misc] + """Tools for managing investigation state. + + These tools record evidence, build the timeline, and track + MITRE mappings and Pyramid of Pain levels. + + Attributes: + state: Current investigation state being managed. + """ + + state: InvestigationState | None = None + + def set_state(self, state: InvestigationState): + """Set the investigation state (called by orchestrator).""" + self.state = state + + @dn.tool_method # type: ignore[untyped-decorator] + def record_evidence( + self, + evidence_type: str, + value: str, + source: str, + timestamp: str | None, + pyramid_level: int, + mitre_techniques: list[str] | None = None, + confidence: float = 0.5, + ) -> str: + """Record a piece of evidence discovered during investigation. + + CALL THIS FOR EVERY FINDING. Evidence types include: + - ip, domain, hash, url (IOCs) + - process, file, user, service (host artifacts) + - artifact, certificate, user_agent (network artifacts) + - tool, malware (tools) + - technique, behavior (TTPs) + + Pyramid levels (higher = more valuable): + 1. Hash Values (trivial to change) + 2. IP Addresses (easy) + 3. Domain Names (simple) + 4. Network/Host Artifacts (annoying) + 5. Tools (challenging) + 6. TTPs (tough - this is the goal!) + + Args: + evidence_type: Type of evidence (ip, domain, hash, process, etc.). + value: The actual evidence value. + source: What query or tool found this. + timestamp: ISO8601 timestamp of when this occurred (can be None). + pyramid_level: Pyramid of Pain level 1-6. + mitre_techniques: Optional list of MITRE technique IDs (e.g., ["T1059.001"]). + confidence: Confidence score 0.0-1.0. + + Returns: + Evidence ID for reference. + + Example: + >>> record_evidence( + ... evidence_type="ip", + ... value="192.168.1.100", + ... source="Loki query: {job='auth'}", + ... timestamp="2024-01-15T14:30:00Z", + ... pyramid_level=2, + ... confidence=0.8 + ... ) + 'ev-0001' + """ + if not self.state: + return "ERROR: No investigation state" + + evidence_id = f"ev-{len(self.state.evidence):04d}" + + ts = None + if timestamp: + with contextlib.suppress(ValueError): + ts = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) + + ev = Evidence( + id=evidence_id, + type=evidence_type, + value=value, + source=source, + timestamp=ts, + pyramid_level=PyramidLevel(min(max(pyramid_level, 1), 6)), + mitre_techniques=mitre_techniques or [], + confidence=confidence, + ) + + self.state.evidence.append(ev) + + if mitre_techniques: + self.state.identified_techniques.update(mitre_techniques) + + dn.log_output(f"evidence_{evidence_id}", ev.to_dict()) + dn.log_metric("evidence_count", 1, mode="count") + dn.log_metric("highest_pyramid_level", pyramid_level, mode="max") + + logger.info( + f"Recorded evidence: {evidence_type}={value[:50]}... (pyramid level {pyramid_level})" + ) + + return evidence_id + + @dn.tool_method # type: ignore[untyped-decorator] + def add_timeline_event( + self, + timestamp: str, + description: str, + evidence_ids: list[str], + mitre_techniques: list[str] | None = None, + confidence: float = 0.5, + ) -> str: + """Add an event to the investigation timeline. + + Build a coherent timeline of what happened and when. + + Args: + timestamp: ISO8601 timestamp of when this occurred. + description: Human-readable description of what happened. + evidence_ids: List of evidence IDs supporting this event. + mitre_techniques: MITRE technique IDs for this event. + confidence: Confidence score 0.0-1.0. + + Returns: + Timeline event ID. + + Example: + >>> add_timeline_event( + ... timestamp="2024-01-15T14:30:00Z", + ... description="Suspicious PowerShell execution detected", + ... evidence_ids=["ev-0001", "ev-0002"], + ... mitre_techniques=["T1059.001"], + ... confidence=0.9 + ... ) + 'tl-0001' + + See Also: + record_evidence: For recording evidence to reference in timeline events. + """ + if not self.state: + return "ERROR: No investigation state" + + event_id = f"tl-{len(self.state.timeline):04d}" + + try: + ts = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) + except ValueError: + ts = datetime.now(timezone.utc) + + event = TimelineEvent( + id=event_id, + timestamp=ts, + description=description, + evidence_ids=evidence_ids, + mitre_techniques=mitre_techniques or [], + confidence=confidence, + ) + + self.state.timeline.append(event) + self.state.timeline.sort(key=lambda e: e.timestamp) + + dn.log_metric("timeline_events", 1, mode="count") + + logger.info(f"Timeline event: {description[:50]}...") + + return event_id + + @dn.tool_method # type: ignore[untyped-decorator] + def transition_stage(self, new_stage: str) -> str: + """Transition to a new investigation stage. + + Stages in order: + 1. triage - WHAT is happening + 2. causation - WHY it happened + 3. lateral - What is the SCOPE + 4. synthesis - Generate report + + Args: + new_stage: One of: triage, causation, lateral, synthesis. + + Returns: + Confirmation message. + """ + if not self.state: + return "ERROR: No investigation state" + + old_stage = self.state.stage + self.state.stage = InvestigationStage(new_stage) + + dn.log_metric(f"stage_{new_stage}_entered", 1) + dn.tag(f"stage:{new_stage}") + + logger.info(f"Stage transition: {old_stage.value} -> {new_stage}") + + return f"Transitioned from {old_stage.value} to {new_stage}" + + @dn.tool_method # type: ignore[untyped-decorator] + def get_investigation_summary(self) -> dict: + """Get a summary of the current investigation state. + + Use this to understand what you've discovered so far. + + Returns: + Summary with evidence count, techniques, pyramid state, etc. + """ + if not self.state: + return {"error": "No investigation state"} + + return self.state.to_summary() + + @dn.tool_method # type: ignore[untyped-decorator] + def track_host_investigation(self, hostname: str) -> str: + """Mark a host as being investigated for lateral scope. + + Args: + hostname: The hostname being investigated. + + Returns: + Suggested queries for this host. + """ + if not self.state: + return "ERROR: No investigation state" + + self.state.queried_hosts.add(hostname) + dn.log_metric("hosts_investigated", 1, mode="count") + + return f""" +Host '{hostname}' marked for investigation. Suggested queries: + +Loki: +- {{hostname="{hostname}"}} |= "error" | json +- {{hostname="{hostname}", job="auth"}} | json +- {{hostname="{hostname}"}} |~ "(?i)(fail|denied|unauthorized)" + +Prometheus: +- node_cpu_seconds_total{{instance=~"{hostname}.*"}} +- node_network_transmit_bytes_total{{instance=~"{hostname}.*"}} +- process_cpu_seconds_total{{instance=~"{hostname}.*"}} +""" + + @dn.tool_method # type: ignore[untyped-decorator] + def track_user_investigation(self, username: str) -> str: + """Mark a user as being investigated for lateral scope. + + Args: + username: The username being investigated. + + Returns: + Suggested queries for this user. + """ + if not self.state: + return "ERROR: No investigation state" + + self.state.queried_users.add(username) + dn.log_metric("users_investigated", 1, mode="count") + + return f""" +User '{username}' marked for investigation. Suggested queries: + +Loki: +- {{job="auth"}} |= "{username}" | json +- {{job="syslog"}} |= "{username}" | json +- {{job="audit"}} | json | user="{username}" +""" + + +class QuestionEngineTools(Toolset): # type: ignore[misc] + """Tools for the question engines that drive the investigation. + + These are the CORE drivers - call them frequently to get + the next questions to investigate. + + Attributes: + mitre_navigator: MITRE ATT&CK-driven question generator. + pyramid_climber: Pyramid of Pain climbing question generator. + state: Current investigation state. + """ + + mitre_navigator: MITRENavigator | None = None + pyramid_climber: PyramidClimber | None = None + state: InvestigationState | None = None + + def set_engines( + self, + mitre_client: MITREAttackClient, + state: InvestigationState, + ): + """Initialize engines with MITRE client and state.""" + self.mitre_navigator = MITRENavigator(mitre_client) + self.pyramid_climber = PyramidClimber() + self.state = state + + @dn.tool_method # type: ignore[untyped-decorator] + def generate_mitre_questions(self) -> list[dict]: + """Generate investigative questions based on MITRE ATT&CK framework. + + This is a CORE DRIVER of the investigation. Call this after + recording evidence to get the next questions. + + The MITRE Navigator generates questions about: + 1. Follow-on techniques (what might come next in the attack) + 2. Tactical gaps (what attack phases haven't we checked) + 3. Evidence mapping (what technique does this evidence indicate) + + Returns: + List of prioritized questions with rationale. + """ + if not self.mitre_navigator or not self.state: + return [{"error": "Engines not initialized"}] + + dn.log_metric("mitre_question_calls", 1, mode="count") + + questions = self.mitre_navigator.generate_questions(self.state) + questions.sort(key=lambda q: q.priority_score, reverse=True) + + return [q.to_dict() for q in questions[:10]] + + @dn.tool_method # type: ignore[untyped-decorator] + def generate_pyramid_questions(self) -> list[dict]: + """Generate questions to climb the Pyramid of Pain. + + This is a CORE DRIVER of the investigation. Call this after + recording evidence to get questions that elevate understanding. + + The Pyramid Climber generates questions that move from: + - Hash Values (trivial) -> Tools/TTPs + - IP Addresses (easy) -> Domains/Infrastructure/Tools + - Domains (simple) -> Infrastructure patterns/Tools + - Artifacts (annoying) -> Tools/TTPs + - Tools (challenging) -> TTPs + + The GOAL is always to reach TTPs (level 6). + + Returns: + List of questions prioritized by elevation potential. + """ + if not self.pyramid_climber or not self.state: + return [{"error": "Engines not initialized"}] + + dn.log_metric("pyramid_question_calls", 1, mode="count") + + questions = self.pyramid_climber.generate_questions(self.state) + questions.sort(key=lambda q: q.priority_score, reverse=True) + + return [q.to_dict() for q in questions[:10]] + + @dn.tool_method # type: ignore[untyped-decorator] + def assess_pyramid_state(self) -> dict: + """Assess the current Pyramid of Pain state of the investigation. + + Use this to check if you're stuck at low-level indicators + or successfully climbing toward TTPs. + + Returns: + Assessment with distribution, elevation score, and recommendations. + """ + if not self.pyramid_climber or not self.state: + return {"error": "Engines not initialized"} + + return self.pyramid_climber.assess_pyramid_state(self.state) + + @dn.tool_method # type: ignore[untyped-decorator] + def get_combined_questions(self, max_questions: int = 10) -> list[dict]: + """Get prioritized questions from BOTH engines combined. + + This is the recommended way to drive the investigation - + get questions from both MITRE and Pyramid engines, combined + and sorted by priority. + + Args: + max_questions: Maximum number of questions to return. + + Returns: + Combined, prioritized list of questions. + + Example: + >>> get_combined_questions(max_questions=5) + [ + { + 'id': 'mitre-followon-a1b2c3d4', + 'question': 'We identified T1059.001...', + 'source': 'mitre', + 'priority_score': 8.5, + ... + }, + ... + ] + + See Also: + generate_mitre_questions: For MITRE-only questions. + generate_pyramid_questions: For Pyramid-only questions. + assess_pyramid_state: For understanding current pyramid position. + """ + if not self.mitre_navigator or not self.pyramid_climber or not self.state: + return [{"error": "Engines not initialized"}] + + mitre_qs = self.mitre_navigator.generate_questions(self.state) + pyramid_qs = self.pyramid_climber.generate_questions(self.state) + + all_questions = mitre_qs + pyramid_qs + all_questions.sort(key=lambda q: q.priority_score, reverse=True) + + dn.log_metric("combined_questions_generated", len(all_questions)) + + return [q.to_dict() for q in all_questions[:max_questions]] diff --git a/src/tools/mitre.py b/src/tools/mitre.py new file mode 100644 index 00000000..26813bb0 --- /dev/null +++ b/src/tools/mitre.py @@ -0,0 +1,112 @@ +"""MITRE ATT&CK lookup tools.""" + +import dreadnode as dn +from dreadnode.agent.tools.base import Toolset + +from src.mitre import MITREAttackClient + + +class MITRELookupTools(Toolset): # type: ignore[misc] + """Tools for looking up MITRE ATT&CK data.""" + + mitre_client: MITREAttackClient | None = None + + def set_client(self, client: MITREAttackClient): + self.mitre_client = client + + @dn.tool_method # type: ignore[untyped-decorator] + def lookup_technique(self, technique_id: str) -> dict | None: + """ + Look up a MITRE ATT&CK technique by ID. + + Args: + technique_id: The technique ID (e.g., "T1059.001", "T1105") + + Returns: + Technique details including name, description, tactic, and data sources + """ + if not self.mitre_client: + return {"error": "MITRE client not initialized"} + + technique = self.mitre_client.get_technique(technique_id) + if not technique: + return None + + return { + "id": technique.id, + "name": technique.name, + "description": technique.description, + "tactic": technique.tactic, + "tactic_id": technique.tactic_id, + "platforms": technique.platforms, + "data_sources": technique.data_sources, + "detection": technique.detection, + } + + @dn.tool_method # type: ignore[untyped-decorator] + def get_related_techniques(self, technique_id: str) -> list[dict]: + """ + Get techniques related to the given technique. + + Useful for understanding what other techniques might appear + alongside the one you've identified. + + Args: + technique_id: The technique ID to find relations for + + Returns: + List of related techniques with relationship type + """ + if not self.mitre_client: + return [{"error": "MITRE client not initialized"}] + + return self.mitre_client.get_related_techniques(technique_id) + + @dn.tool_method # type: ignore[untyped-decorator] + def identify_tactical_gaps(self) -> list[dict]: + """ + Identify which attack tactics haven't been investigated yet. + + Use this to ensure complete attack lifecycle coverage. + + Returns: + List of uncovered tactics with example techniques + """ + if not self.mitre_client: + return [{"error": "MITRE client not initialized"}] + + uncovered = self.mitre_client.get_all_tactics() + + return [ + { + "tactic_id": t.id, + "tactic_name": t.name, + "description": t.description, + } + for t in uncovered[:10] + ] + + @dn.tool_method # type: ignore[untyped-decorator] + def search_techniques(self, keyword: str) -> list[dict]: + """ + Search for techniques by keyword. + + Args: + keyword: Search term to find in technique names/descriptions + + Returns: + Matching techniques + """ + if not self.mitre_client: + return [{"error": "MITRE client not initialized"}] + + matches = self.mitre_client.search_by_keyword(keyword) + + return [ + { + "id": t.id, + "name": t.name, + "tactic": t.tactic, + } + for t in matches + ] diff --git a/src/tools/observability.py b/src/tools/observability.py new file mode 100644 index 00000000..625572ab --- /dev/null +++ b/src/tools/observability.py @@ -0,0 +1,262 @@ +"""Observability tools for querying Loki and Prometheus.""" + +from datetime import datetime, timedelta + +import dreadnode as dn +import httpx +from dreadnode.agent.tools.base import Toolset +from loguru import logger + + +class LokiTools(Toolset): # type: ignore[misc] + """Tools for querying Loki log aggregation system. + + Attributes: + base_url: Base URL of the Loki instance. + timeout: HTTP request timeout in seconds. + """ + + base_url: str + timeout: int = 30 + + @dn.tool_method # type: ignore[untyped-decorator] + async def query_logs( + self, + logql: str, + start_time: str, + end_time: str, + limit: int = 500, + ) -> dict: + """Execute a LogQL query against Loki. + + Write your own LogQL queries to investigate the logs. + No templates - use your knowledge of the query language. + + Args: + logql: The LogQL query string. + start_time: ISO8601 timestamp for query start (e.g., "2024-01-15T10:00:00Z"). + end_time: ISO8601 timestamp for query end. + limit: Maximum number of log lines to return (default 500). + + Returns: + Query results with log streams and entries. + + Example: + >>> await query_logs( + ... logql='{job="syslog", hostname="web-01"} |= "error"', + ... start_time="2024-01-15T10:00:00Z", + ... end_time="2024-01-15T11:00:00Z", + ... limit=100 + ... ) + {'status': 'success', 'data': {'resultType': 'streams', ...}} + + See Also: + query_logs_around_timestamp: For time-window queries around a specific event. + get_label_values: For discovering available log labels. + """ + dn.log_metric("loki_queries", 1, mode="count") + logger.info(f"Loki query: {logql}") + + try: + async with httpx.AsyncClient(timeout=self.timeout) as client: + response = await client.get( + f"{self.base_url}/loki/api/v1/query_range", + params={ + "query": logql, + "start": start_time, + "end": end_time, + "limit": limit, + }, + ) + response.raise_for_status() + result = response.json() + + result_count = len(result.get("data", {}).get("result", [])) + dn.log_metric("loki_results", result_count) + + return result + + except httpx.HTTPError as e: + logger.error(f"Loki query failed: {e}") + return {"error": str(e), "data": {"result": []}} + + @dn.tool_method # type: ignore[untyped-decorator] + async def query_logs_around_timestamp( + self, + logql: str, + timestamp: str, + window_minutes: int = 5, + limit: int = 500, + ) -> dict: + """Query logs within a time window around a specific timestamp. + + Useful for investigating what happened before/after a specific event. + + Args: + logql: The LogQL query string. + timestamp: ISO8601 timestamp to center the query on. + window_minutes: Minutes before and after the timestamp (default 5). + limit: Maximum number of log lines. + + Returns: + Query results centered on the timestamp. + """ + center = datetime.fromisoformat(timestamp.replace("Z", "+00:00")) + start = (center - timedelta(minutes=window_minutes)).isoformat() + end = (center + timedelta(minutes=window_minutes)).isoformat() + + return await self.query_logs( + logql=logql, + start_time=start, + end_time=end, + limit=limit, + ) + + @dn.tool_method # type: ignore[untyped-decorator] + async def get_label_values(self, label: str) -> list[str]: + """Get all values for a specific Loki label. + + Useful for discovering what hosts, jobs, or namespaces exist. + + Args: + label: The label name (e.g., "hostname", "job", "namespace"). + + Returns: + List of label values. + """ + try: + async with httpx.AsyncClient(timeout=self.timeout) as client: + response = await client.get( + f"{self.base_url}/loki/api/v1/label/{label}/values", + ) + response.raise_for_status() + return response.json().get("data", []) + except httpx.HTTPError as e: + logger.error(f"Failed to get label values: {e}") + return [] + + +class PrometheusTools(Toolset): # type: ignore[misc] + """Tools for querying Prometheus metrics. + + Attributes: + base_url: Base URL of the Prometheus instance. + timeout: HTTP request timeout in seconds. + """ + + base_url: str + timeout: int = 30 + + @dn.tool_method # type: ignore[untyped-decorator] + async def query_instant( + self, + promql: str, + time: str | None = None, + ) -> dict: + """Execute an instant PromQL query. + + Write your own PromQL queries to investigate metrics. + No templates - use your knowledge of the query language. + + Args: + promql: The PromQL query string. + time: Optional evaluation timestamp (ISO8601). If not provided, uses current time. + + Returns: + Instant query results. + + Example: + >>> await query_instant( + ... promql='rate(http_requests_total{status=~"5.."}[5m])', + ... time="2024-01-15T14:30:00Z" + ... ) + {'status': 'success', 'data': {'resultType': 'vector', ...}} + + See Also: + query_range: For querying metrics over a time range. + get_metric_names: For discovering available metrics. + """ + dn.log_metric("prometheus_queries", 1, mode="count") + logger.info(f"Prometheus instant query: {promql}") + + params = {"query": promql} + if time: + params["time"] = time + + try: + async with httpx.AsyncClient(timeout=self.timeout) as client: + response = await client.get( + f"{self.base_url}/api/v1/query", + params=params, + ) + response.raise_for_status() + return response.json() + except httpx.HTTPError as e: + logger.error(f"Prometheus query failed: {e}") + return {"error": str(e), "data": {"result": []}} + + @dn.tool_method # type: ignore[untyped-decorator] + async def query_range( + self, + promql: str, + start_time: str, + end_time: str, + step: str = "1m", + ) -> dict: + """Execute a range PromQL query for time series data. + + Args: + promql: The PromQL query string. + start_time: ISO8601 start timestamp. + end_time: ISO8601 end timestamp. + step: Query resolution step (e.g., "1m", "5m", "1h"). + + Returns: + Range query results with time series. + """ + dn.log_metric("prometheus_queries", 1, mode="count") + logger.info(f"Prometheus range query: {promql}") + + try: + async with httpx.AsyncClient(timeout=self.timeout) as client: + response = await client.get( + f"{self.base_url}/api/v1/query_range", + params={ + "query": promql, + "start": start_time, + "end": end_time, + "step": step, + }, + ) + response.raise_for_status() + return response.json() + except httpx.HTTPError as e: + logger.error(f"Prometheus range query failed: {e}") + return {"error": str(e), "data": {"result": []}} + + @dn.tool_method # type: ignore[untyped-decorator] + async def get_metric_names(self, search: str | None = None) -> list[str]: + """Get available Prometheus metric names. + + Args: + search: Optional search string to filter metric names. + + Returns: + List of metric names. + """ + try: + async with httpx.AsyncClient(timeout=self.timeout) as client: + response = await client.get( + f"{self.base_url}/api/v1/label/__name__/values", + ) + response.raise_for_status() + metrics = response.json().get("data", []) + + if search: + search_lower = search.lower() + metrics = [m for m in metrics if search_lower in m.lower()] + + return metrics[:100] + except httpx.HTTPError as e: + logger.error(f"Failed to get metric names: {e}") + return [] diff --git a/tests/test_mcp_integration.py b/tests/test_mcp_integration.py new file mode 100644 index 00000000..40d77f07 --- /dev/null +++ b/tests/test_mcp_integration.py @@ -0,0 +1,77 @@ +"""Test Grafana MCP integration.""" + +import asyncio +import os + +from loguru import logger + +from src.tools.grafana import connect_grafana_mcp + + +async def test_mcp_connection() -> bool: + """Test connecting to Grafana MCP and listing tools.""" + logger.info("Testing Grafana MCP connection...") + + # Check environment variables + grafana_url = os.getenv("GRAFANA_URL") + grafana_api_key = os.getenv("GRAFANA_API_KEY") + + if not grafana_url or not grafana_api_key: + logger.error("GRAFANA_URL and GRAFANA_API_KEY must be set") + return False + + logger.info(f"Grafana URL: {grafana_url}") + + try: + # Connect to MCP server + mcp_client = await connect_grafana_mcp( + grafana_url=grafana_url, + grafana_api_key=grafana_api_key, + ) + + logger.success(f"Connected! {len(mcp_client.tools)} tools available") + + # List all tools + logger.info("\nAvailable MCP tools:") + logger.info("=" * 60) + for tool in mcp_client.tools: + logger.info(f" - {tool.name}: {tool.description[:100]}") + + # Try a simple query - list datasources + logger.info("\nTesting list_datasources...") + list_datasources_tool = next( + (t for t in mcp_client.tools if t.name == "list_datasources"), + None, + ) + + if list_datasources_tool: + result = await list_datasources_tool.fn() + logger.success( + f"Query successful! Found {len(result) if isinstance(result, list) else 'N/A'} datasources" + ) + if result: + logger.info( + f"First result sample: {result[0] if isinstance(result, list) else result}" + ) + else: + logger.warning("list_datasources tool not found") + + # Close connection + await mcp_client.__aexit__(None, None, None) + logger.success("Connection closed successfully") + + return True + + except Exception as e: + logger.error(f"Test failed: {e}") + import traceback + + traceback.print_exc() + return False + + +if __name__ == "__main__": + import sys + + success = asyncio.run(test_mcp_connection()) + sys.exit(0 if success else 1) From 292966f7e8657dd0e4ae750e7c5b37793aa60c14 Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Tue, 16 Dec 2025 15:47:14 -0700 Subject: [PATCH 4/9] refactor: reorganize windows grafana examples and update docs, add python 3.12 support **Added:** - Added ruff linter configuration for `examples/**/*.py` to allow printing and datetime without timezone in `pyproject.toml` **Changed:** - Changed GitHub Actions CI to test Python 3.10, 3.11, and 3.12 instead of 3.9 - Updated `Taskfile.yaml` to rename the Windows Grafana test task to `ares:example:grafana-windows` and run the script from the `examples` dir - Improved documentation in `README.md`, `docs/topics/grafana-mcp-setup.md`, and updated example commands and explanations for clarity and readability - Updated Markdown tables in `README.md` for consistent formatting - Moved and rewrote `tests/README.md` as `examples/README.md` to describe usage of examples instead of tests **Removed:** - Removed `tests/test_grafana_mcp_windows.py` and replaced with `examples/grafana_mcp_windows_example.py` - Removed references to running Windows Grafana tests from the `tests` directory --- .github/workflows/tests.yaml | 2 +- README.md | 21 ++++++++------ Taskfile.yaml | 6 ++-- docs/topics/grafana-mcp-setup.md | 7 +++-- {tests => examples}/README.md | 28 +++++++++---------- .../grafana_mcp_windows_example.py | 0 pyproject.toml | 4 +++ 7 files changed, 40 insertions(+), 28 deletions(-) rename {tests => examples}/README.md (86%) rename tests/test_grafana_mcp_windows.py => examples/grafana_mcp_windows_example.py (100%) diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml index 531d3a33..f1f649f6 100644 --- a/.github/workflows/tests.yaml +++ b/.github/workflows/tests.yaml @@ -30,7 +30,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ["3.9", "3.10", "3.11"] + python-version: ["3.10", "3.11", "3.12"] steps: - name: Set up git repository diff --git a/README.md b/README.md index b958c310..8c95aa51 100644 --- a/README.md +++ b/README.md @@ -33,8 +33,10 @@ mappings. - Python 3.11+ - [uv](https://docs.astral.sh/uv/getting-started/installation/) package manager - [Task](https://taskfile.dev/installation/) (optional but recommended) -- [1Password CLI](https://developer.1password.com/docs/cli/get-started/) for credential management -- [mcp-grafana](https://github.com/grafana/mcp-grafana) MCP server: `go install github.com/grafana/mcp-grafana/cmd/mcp-grafana@latest` +- [1Password CLI](https://developer.1password.com/docs/cli/get-started/) + for credential management +- [mcp-grafana](https://github.com/grafana/mcp-grafana) MCP server: + `go install github.com/grafana/mcp-grafana/cmd/mcp-grafana@latest` **Setup:** @@ -90,8 +92,8 @@ task ares:reports:latest # Show latest report **Available Tasks:** | Command | Description | -|---------|-------------| -| `task ares:run` | Run agent in poll mode (checks Grafana every 30s for new alerts) | +| ------- | ----------- | +| `task ares:run` | Run agent in poll mode (checks Grafana every 30s) | | `task ares:run:local` | Run using .env file instead of 1Password | | `task ares:investigate ALERT=` | Investigate a specific alert from JSON file | | `task ares:config:check` | Verify configuration and 1Password access | @@ -141,7 +143,7 @@ uv run python -m src investigate-alert test-alerts/example-alert.json \ **Agent Arguments (`--args.*`):** | Option | Default | Description | -|--------|---------|-------------| +| ------ | ------- | ----------- | | `--args.model` | `claude-sonnet-4-20250514` | LLM model to use | | `--args.grafana-url` | `https://grafana.dev.plundr.ai` | Grafana URL for alerts and MCP | | `--args.poll-interval` | `30` | Seconds between alert polls | @@ -151,7 +153,7 @@ uv run python -m src investigate-alert test-alerts/example-alert.json \ **Dreadnode Platform Arguments (`--dn-args.*`):** | Option | Default | Description | -|--------|---------|-------------| +| ------ | ------- | ----------- | | `--dn-args.server` | `https://platform.dev.plundr.ai/` | Dreadnode platform server URL | | `--dn-args.token` | from `DREADNODE_API_KEY` | Dreadnode API token | | `--dn-args.organization` | `ares` | Dreadnode organization name | @@ -279,13 +281,16 @@ pytest --cov=src tests/ ### Environment Variables | Variable | Required | Description | -|----------|----------|-------------| +| -------- | -------- | ----------- | | `GRAFANA_URL` | Yes | Grafana instance URL (e.g., `https://grafana.example.com`) | | `GRAFANA_SERVICE_ACCOUNT_TOKEN` | Yes | Grafana service account token for API access | | `ANTHROPIC_API_KEY` | Yes | Anthropic API key for Claude models | | `DREADNODE_API_KEY` | No | Dreadnode platform token for observability | -**Note:** `GRAFANA_API_KEY` is deprecated. Use `GRAFANA_SERVICE_ACCOUNT_TOKEN` instead. See [Grafana's service account documentation](https://grafana.com/docs/grafana/latest/administration/service-accounts/) for details. +**Note:** `GRAFANA_API_KEY` is deprecated. Use `GRAFANA_SERVICE_ACCOUNT_TOKEN` +instead. See [Grafana's service account +documentation](https://grafana.com/docs/grafana/latest/administration/service-accounts/) +for details. ### Supported LLM Models diff --git a/Taskfile.yaml b/Taskfile.yaml index eb46c637..f8b30b37 100644 --- a/Taskfile.yaml +++ b/Taskfile.yaml @@ -386,7 +386,7 @@ tasks: asyncio.run(test()) " - ares:test:windows: - desc: Test Grafana MCP integration for Windows attack queries + ares:example:grafana-windows: + desc: Show example Grafana MCP queries for Windows attack detection cmds: - - python tests/test_grafana_mcp_windows.py + - python examples/grafana_mcp_windows_example.py diff --git a/docs/topics/grafana-mcp-setup.md b/docs/topics/grafana-mcp-setup.md index 12346a55..0a8c5c2f 100644 --- a/docs/topics/grafana-mcp-setup.md +++ b/docs/topics/grafana-mcp-setup.md @@ -28,7 +28,8 @@ claude mcp add grafana mcp-grafana \ ### Option 2: Using full path (recommended for reliability) -If `which mcp-grafana` doesn't find the binary or you get connection errors: +If `which mcp-grafana` doesn't find the binary or you get connection +errors: ```bash # Find the full path first @@ -50,7 +51,9 @@ claude mcp add grafana $GRAFANA_BIN \ ```bash claude mcp remove grafana -claude mcp add grafana mcp-grafana -e GRAFANA_URL= -e GRAFANA_API_KEY= +claude mcp add grafana mcp-grafana \ + -e GRAFANA_URL= \ + -e GRAFANA_API_KEY= ``` ## Config Location diff --git a/tests/README.md b/examples/README.md similarity index 86% rename from tests/README.md rename to examples/README.md index 8c1f84a7..65f95a15 100644 --- a/tests/README.md +++ b/examples/README.md @@ -1,30 +1,30 @@ -# Ares Tests +# Ares Examples -This directory contains tests for the Ares SOC Investigation Agent. +This directory contains example scripts demonstrating Ares agent capabilities. -## Grafana MCP Windows Attack Query Test +## Grafana MCP Windows Attack Query Examples ### Overview -The `test_grafana_mcp_windows.py` script demonstrates the agent's capability -to query Grafana/Loki for Windows security events and attack indicators. +The `grafana_mcp_windows_example.py` script demonstrates the types of queries +the agent can make to Grafana/Loki for Windows security events and attack +indicators. -### Running the Test +### Running the Example ```bash # Using Task -task ares:test:windows +task ares:example:grafana-windows # Or directly with Python -python tests/test_grafana_mcp_windows.py +python examples/grafana_mcp_windows_example.py ``` -### What It Tests +### Query Examples Demonstrated -The test demonstrates 9 types of queries the agent can make: +The example script demonstrates 9 types of queries the agent can make: -1. **Label Discovery** - Find available labels (environment, host, job, - etc.) +1. **Label Discovery** - Find available labels (environment, host, job, etc.) 2. **Environment Values** - List all environment values 3. **Log Volume** - Check log statistics before querying 4. **Attack Indicators** - Search for mimikatz, impacket, exploit, payload, @@ -92,7 +92,7 @@ mcp__grafana__list_loki_label_names( ### Expected Output -The test script prints: +The example script prints: - The exact queries that will be executed - Expected output format for each query type @@ -160,7 +160,7 @@ The agent uses these LogQL patterns: ### Next Steps -After running this test, you can: +After running this example, you can: 1. **Run a full investigation**: `task ares:run` 2. **Check configuration**: `task ares:config:check` diff --git a/tests/test_grafana_mcp_windows.py b/examples/grafana_mcp_windows_example.py similarity index 100% rename from tests/test_grafana_mcp_windows.py rename to examples/grafana_mcp_windows_example.py diff --git a/pyproject.toml b/pyproject.toml index 50d0ec01..03df1852 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -189,3 +189,7 @@ skip-magic-trailing-comma = false "PTH123", # open() vs Path.open() is fine for scripts "RUF059", # unused unpacked variables is fine ] +"examples/**/*.py" = [ + "T201", # printing is fine for examples + "DTZ003", # datetime without tz is fine for examples +] From 3c71d852eabb9110fc5997797279d799e1c62b77 Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Tue, 16 Dec 2025 15:48:16 -0700 Subject: [PATCH 5/9] ci: remove workflow for updating PR description with rigging **Removed:** - Deleted GitHub Actions workflow that automated PR description updates using rigging and OpenAI API integration (rigging_pr_description.yaml) - Removed automation for generating and posting AI-generated PR summaries on pull request creation --- .github/workflows/rigging_pr_description.yaml | 54 ------------------- 1 file changed, 54 deletions(-) delete mode 100644 .github/workflows/rigging_pr_description.yaml diff --git a/.github/workflows/rigging_pr_description.yaml b/.github/workflows/rigging_pr_description.yaml deleted file mode 100644 index 0053bfe5..00000000 --- a/.github/workflows/rigging_pr_description.yaml +++ /dev/null @@ -1,54 +0,0 @@ ---- -name: Update PR Description with Rigging -on: - pull_request: - types: [opened] - -jobs: - update-description: - name: Update PR Description with Rigging - runs-on: ubuntu-latest - permissions: - pull-requests: write - contents: read - - steps: - - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1 - with: - fetch-depth: 0 # full history for proper diffing - - - name: Set up Python - uses: actions/setup-python@83679a892e2d95755f2dac6acb0bfd1e9ac5d548 # v6.1.0 - with: - python-version: "3.14" - - - name: Install uv - run: | - python -m pip install --upgrade pip - pip install uv - - - name: Generate PR Description - id: description - env: - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} - run: | - DESCRIPTION="$(uv run --no-project .hooks/generate_pr_description.py --base-ref "origin/${{ github.base_ref }}" --exclude "./*.lock")" - { - echo "description<> "$GITHUB_OUTPUT" - - - name: Update PR Description - uses: nefrob/pr-description@4dcc9f3ad5ec06b2a197c5f8f93db5e69d2fdca7 # v1.2.0 - with: - token: ${{ secrets.GITHUB_TOKEN }} - content: | - - --- - - ## Generated Summary: - - ${{ steps.description.outputs.description }} - - This summary was generated with ❤️ by [rigging](https://rigging.dreadnode.io/) From ef179c56de7d0d5dfe8f80dba2338b996ec2e5ed Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Tue, 16 Dec 2025 15:54:22 -0700 Subject: [PATCH 6/9] build: add jinja2 and tomli dev dependencies and update readme generation script **Added:** - Added `jinja2` and conditional `tomli` to dev dependencies in `pyproject.toml` for template rendering and toml parsing on Python <3.11 - Added `jinja2` and conditional `tomli` to dev dependencies in `uv.lock` for consistent environment management **Changed:** - Updated `generate_readme.py` to import `tomllib` on Python >=3.11 and fall back to `tomli` for earlier versions, ensuring compatibility - Modified dry-run mode in `generate_readme.py` to print the generated content for better feedback - Adjusted `uv.lock` to pin `exceptiongroup`'s `typing-extensions` dependency only on Python <3.11 for accurate compatibility --- pyproject.toml | 2 ++ scripts/generate_readme.py | 11 ++++++++--- uv.lock | 6 +++++- 3 files changed, 15 insertions(+), 4 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 03df1852..5f1dc909 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -43,6 +43,8 @@ dev = [ "pytest-asyncio>=1.3.0,<1.4.0", "pytest-cov>=4.1.0", "types-requests>=2.32.0.20250306", + "tomli>=2.0.0; python_version < '3.11'", + "jinja2>=3.0.0", ] [project.scripts] diff --git a/scripts/generate_readme.py b/scripts/generate_readme.py index d01ec78b..bdbda2b0 100755 --- a/scripts/generate_readme.py +++ b/scripts/generate_readme.py @@ -1,14 +1,19 @@ #!/usr/bin/python3 import argparse +import sys from typing import Any -import tomli +if sys.version_info >= (3, 11): + import tomllib +else: + import tomli as tomllib + from jinja2 import Environment, FileSystemLoader def load_project_metadata() -> dict[str, Any]: with open("pyproject.toml", "rb") as f: - pyproject = tomli.load(f) + pyproject = tomllib.load(f) return { **pyproject["project"], **pyproject.get("tool", {}).get("readme", {}), @@ -105,7 +110,7 @@ def main() -> None: ) if args.dry_run: - pass + print(existing_content) else: write_file("README.md", existing_content) diff --git a/uv.lock b/uv.lock index f20438c5..5f58116c 100644 --- a/uv.lock +++ b/uv.lock @@ -213,12 +213,14 @@ docs = [ [package.dev-dependencies] dev = [ + { name = "jinja2" }, { name = "mypy" }, { name = "pre-commit" }, { name = "pytest" }, { name = "pytest-asyncio" }, { name = "pytest-cov" }, { name = "ruff" }, + { name = "tomli", marker = "python_full_version < '3.11'" }, { name = "types-requests" }, ] @@ -240,12 +242,14 @@ provides-extras = ["docs"] [package.metadata.requires-dev] dev = [ + { name = "jinja2", specifier = ">=3.0.0" }, { name = "mypy", specifier = ">=1.8.0,<2.0.0" }, { name = "pre-commit", specifier = ">=4.0.0,<5.0.0" }, { name = "pytest", specifier = ">=8.3.3,<9.0.0" }, { name = "pytest-asyncio", specifier = ">=1.3.0,<1.4.0" }, { name = "pytest-cov", specifier = ">=4.1.0" }, { name = "ruff", specifier = ">=0.11.6,<1.0.0" }, + { name = "tomli", marker = "python_full_version < '3.11'", specifier = ">=2.0.0" }, { name = "types-requests", specifier = ">=2.32.0.20250306" }, ] @@ -719,7 +723,7 @@ name = "exceptiongroup" version = "1.3.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.13'" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" } wheels = [ From c35e245df200c90f272a81389cc4ee45dbbcaf5b Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Tue, 16 Dec 2025 16:00:43 -0700 Subject: [PATCH 7/9] build: update pytest and pytest-asyncio dev dependencies and remove deprecated pytest option **Changed:** - Loosened version constraint for `pytest` by removing the upper bound in both `pyproject.toml` and `uv.lock` to allow future updates without manual changes - Updated `pytest-asyncio` minimum version to `0.24.0` and removed upper bound in both `pyproject.toml` and `uv.lock` for broader compatibility - Removed deprecated `asyncio_default_fixture_loop_scope` option from pytest configuration in `pyproject.toml` to align with newer pytest-asyncio versions and prevent warnings/errors --- pyproject.toml | 5 ++--- uv.lock | 4 ++-- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 5f1dc909..39dd9195 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,8 +39,8 @@ dev = [ "mypy>=1.8.0,<2.0.0", "ruff>=0.11.6,<1.0.0", "pre-commit>=4.0.0,<5.0.0", - "pytest>=8.3.3,<9.0.0", - "pytest-asyncio>=1.3.0,<1.4.0", + "pytest>=8.3.3", + "pytest-asyncio>=0.24.0", "pytest-cov>=4.1.0", "types-requests>=2.32.0.20250306", "tomli>=2.0.0; python_version < '3.11'", @@ -74,7 +74,6 @@ include = ["/src", "/tests", "/docs", "/README.md", "/LICENSE"] [tool.pytest.ini_options] asyncio_mode = "auto" -asyncio_default_fixture_loop_scope = "function" testpaths = ["tests"] python_files = ["test_*.py"] addopts = ["--strict-markers", "--cov=src", "--cov-report=term-missing"] diff --git a/uv.lock b/uv.lock index 5f58116c..82f787e0 100644 --- a/uv.lock +++ b/uv.lock @@ -245,8 +245,8 @@ dev = [ { name = "jinja2", specifier = ">=3.0.0" }, { name = "mypy", specifier = ">=1.8.0,<2.0.0" }, { name = "pre-commit", specifier = ">=4.0.0,<5.0.0" }, - { name = "pytest", specifier = ">=8.3.3,<9.0.0" }, - { name = "pytest-asyncio", specifier = ">=1.3.0,<1.4.0" }, + { name = "pytest", specifier = ">=8.3.3" }, + { name = "pytest-asyncio", specifier = ">=0.24.0" }, { name = "pytest-cov", specifier = ">=4.1.0" }, { name = "ruff", specifier = ">=0.11.6,<1.0.0" }, { name = "tomli", marker = "python_full_version < '3.11'", specifier = ">=2.0.0" }, From 6ae35489131260968dcda14891b84a9b67efe5b9 Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Tue, 16 Dec 2025 16:03:48 -0700 Subject: [PATCH 8/9] build: add pytest-asyncio to test dependencies in CI workflow **Changed:** - Include pytest-asyncio in the list of Python test dependencies installed in the CI workflow to support testing of async code --- .github/workflows/tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml index f1f649f6..70aafdd4 100644 --- a/.github/workflows/tests.yaml +++ b/.github/workflows/tests.yaml @@ -45,7 +45,7 @@ jobs: - name: Install dependencies run: | python -m pip install --upgrade pip - pip install pytest pytest-cov ruff + pip install pytest pytest-cov pytest-asyncio ruff pip install -e . - name: Lint with ruff From a64cabf9a92cfd4272c2e414f3cba67b1e9b5ccb Mon Sep 17 00:00:00 2001 From: Jayson Grace Date: Tue, 16 Dec 2025 16:19:37 -0700 Subject: [PATCH 9/9] ci: add python 3.13 to test matrix in github actions workflow **Changed:** - Updated the test matrix to include Python 3.13 for CI runs in `.github/workflows/tests.yaml` to ensure compatibility with the latest Python version --- .github/workflows/tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml index 70aafdd4..0ff24b80 100644 --- a/.github/workflows/tests.yaml +++ b/.github/workflows/tests.yaml @@ -30,7 +30,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ["3.10", "3.11", "3.12"] + python-version: ["3.10", "3.11", "3.12", "3.13"] steps: - name: Set up git repository