IMPORTANT LEGAL AND ETHICAL NOTICE
All attack scripts, scenarios, and weaponization techniques presented in this repository are provided exclusively for educational and authorized testing purposes only.
Intended Use:
- Proof-of-Concept demonstrations in controlled, isolated lab environments
- Security research and educational training
- Authorized penetration testing with explicit written permission
- Understanding attack mechanics to develop appropriate defenses
Restrictions:
- ❌ DO NOT use these scripts against systems you do not own or have explicit written authorization to test
- ❌ DO NOT use these techniques for any malicious, illegal, or unauthorized activities
- ❌ DO NOT deploy these scripts in production environments or against live systems
Limitations:
- These scripts are Proof-of-Concept demonstrations and may not work in every environment
- Scripts are provided to illustrate attack techniques and methodologies
- Understanding these mechanics is crucial for developing effective security defenses
Legal Compliance: Unauthorized access to computer systems is illegal in most jurisdictions. Users of this material are solely responsible for ensuring their activities comply with all applicable laws, regulations, and ethical guidelines. The authors and contributors of this document assume no liability for misuse of the information contained herein.
Purpose: The primary goal of this documentation is to help security professionals, developers, and researchers understand attack vectors and prepare appropriate defensive measures. Knowledge of these techniques enables better security posture and threat mitigation strategies.
This repository provides a comprehensive collection of security engineering documentation organized using the STRIDE threat modeling framework. It combines traditional web application security vulnerabilities with emerging AI/LLM-specific attack vectors, offering a holistic view of modern security challenges.
Each document includes:
- Technical deep-dives into attack mechanics
- Real-world attack scenarios with step-by-step flows
- Mermaid diagrams for visual understanding
- Proof-of-Concept Python scripts for controlled testing
- AI/ML-enhanced attack techniques demonstrating how adversaries leverage AI
- Mitigation strategies and defensive countermeasures
STRIDE is a threat modeling framework developed by Microsoft to categorize security threats. Each letter represents a different category of threat:
| Letter | Threat Category | Description |
|---|---|---|
| S | Spoofing | Pretending to be something or someone you're not |
| T | Tampering | Modifying data or code without authorization |
| R | Repudiation | Denying having performed an action |
| I | Information Disclosure | Exposing information to unauthorized parties |
| D | Denial of Service | Making a system or service unavailable |
| E | Elevation of Privilege | Gaining capabilities beyond what's authorized |
This framework helps security professionals systematically identify and address potential vulnerabilities in their systems.
Each security document follows a consistent structure:
1. Overview Diagram (Mermaid flowchart)
2. Introduction and Core Concepts
3. Defense Principles
4. Mitigation Strategies
5. Real-World Attack Scenarios (4 per document)
├── Attack Flow (step-by-step)
├── Attack Sequence Diagram (Mermaid)
├── Reconnaissance Tools & Techniques
├── Attack Simulation Code (Python PoC)
├── AI/ML-Enhanced Attack Techniques
├── Mitigation Sequence Diagram (Mermaid)
└── Defensive Implementation
- Study attack mechanics and develop new detection methods
- Use PoC scripts in isolated lab environments
- Understand AI-enhanced attack evolution
- Learn secure coding practices through real-world examples
- Implement recommended mitigations in your applications
- Understand how LLM integrations can be exploited
- Use as reference for threat modeling sessions
- Build security testing checklists
- Train teams on modern attack vectors
- Understand LLM-specific vulnerabilities (OWASP Top 10 for LLM)
- Implement secure AI agent architectures
- Design robust input validation and output handling