🛡️ Sentinel: [MEDIUM] Fix Information Exposure through Error Messages#111
🛡️ Sentinel: [MEDIUM] Fix Information Exposure through Error Messages#111daggerstuff wants to merge 1 commit intostagingfrom
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* Added `logging` import and instantiated logger in `api/dataset_api.py`. * Used `logger.exception` to log the detailed exception server-side in all `except sqlite3.Error:` blocks. * Kept the original `HTTPException` responses with generic 500 status codes. * Addressed `ruff` E501 line length linting error in `validate_identifier`. * Verified changes locally with `uv run pytest test_dataset_api_final.py` (with manual installation of `bcrypt`). Co-authored-by: daggerstuff <261005129+daggerstuff@users.noreply.github.com>
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Reviewer's guide (collapsed on small PRs)Reviewer's GuideAdds structured server-side logging for SQLite database errors in dataset endpoints while preserving existing generic HTTP 500 responses, and introduces a module-level logger. Sequence diagram for SQLite error handling with server-side loggingsequenceDiagram
actor Client
participant DatasetAPI
participant SQLiteDB
participant Logger
Client->>DatasetAPI: HTTP request to dataset endpoint
activate DatasetAPI
DatasetAPI->>SQLiteDB: Execute query
activate SQLiteDB
SQLiteDB-->>DatasetAPI: sqlite3.Error thrown
deactivate SQLiteDB
DatasetAPI->>Logger: exception("Database error occurred while <operation>")
DatasetAPI-->>Client: HTTP 500 Response
deactivate DatasetAPI
Flow diagram for dataset endpoint database error handlingflowchart TD
Start([Start request]) --> TryDB[Call SQLite through dataset endpoint]
TryDB --> CheckErr{Did sqlite3.Error occur?}
CheckErr -- No --> Success[Return successful HTTP response]
CheckErr -- Yes --> LogErr[logger.exception with database error message]
LogErr --> RaiseHTTP[Raise HTTPException 500 with generic detail]
RaiseHTTP --> End([Client receives 500 with generic message])
Success --> End
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📝 WalkthroughWalkthroughThis pull request adds error logging to the dataset API module. It imports the logging library, creates a module-level logger, and adds exception logging calls to three database-related endpoints. Additionally, it reformats an HTTPException statement without changing its logic. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~8 minutes Possibly related PRs
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🚥 Pre-merge checks | ✅ 2 | ❌ 1❌ Failed checks (1 inconclusive)
✅ Passed checks (2 passed)
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🧪 Generate unit tests (beta)
⚔️ Resolve merge conflicts
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Hey - I've found 1 issue
Prompt for AI Agents
Please address the comments from this code review:
## Individual Comments
### Comment 1
<location path="api/dataset_api.py" line_range="48-49" />
<code_context>
"""
if not re.match(r"^[a-zA-Z0-9_]+$", identifier):
- raise HTTPException(status_code=400, detail=f"Invalid identifier format: {identifier}")
+ raise HTTPException(
+ status_code=400, detail=f"Invalid identifier format: {identifier}"
+ )
return identifier
</code_context>
<issue_to_address>
**🚨 issue (security):** Avoid echoing the raw identifier back in the error detail to reduce potential information leakage and log noise.
The 400 response currently includes the full user-supplied `identifier`, which can be arbitrarily long, malformed, or contain control characters, and may end up in logs or UIs. Prefer a fixed error message like `"Invalid identifier format"` and, if necessary, log the raw identifier only on the server side.
</issue_to_address>Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
| raise HTTPException( | ||
| status_code=400, detail=f"Invalid identifier format: {identifier}" |
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🚨 issue (security): Avoid echoing the raw identifier back in the error detail to reduce potential information leakage and log noise.
The 400 response currently includes the full user-supplied identifier, which can be arbitrarily long, malformed, or contain control characters, and may end up in logs or UIs. Prefer a fixed error message like "Invalid identifier format" and, if necessary, log the raw identifier only on the server side.
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Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (1)
api/dataset_api.py (1)
186-191:⚠️ Potential issue | 🟡 MinorInitialize
conn = Nonebefore the try block to prevent potential NameError.The logging addition is correct. However, unlike
get_dataset_metadata(line 201) andquery_dataset(line 263), this function does not initializeconnbefore the try block. Ifget_db_connection()raisessqlite3.Errorbefore assignment completes, thefinallyblock'sif conn:check will raiseNameError, masking the original exception.Proposed fix
async def list_datasets( current_auth_entity: Any = Depends(get_current_active_user_or_api_key), ): """List all available datasets (tables in the database).""" datasets = [] + conn = None try: conn = get_db_connection()🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@api/dataset_api.py` around lines 186 - 191, The try/finally in the dataset listing function fails to initialize conn which can cause a NameError if get_db_connection() raises; before the try block set conn = None (consistent with get_dataset_metadata and query_dataset) so the finally block's if conn: conn.close() is safe, and keep using get_db_connection() and the existing exception handling as-is.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Outside diff comments:
In `@api/dataset_api.py`:
- Around line 186-191: The try/finally in the dataset listing function fails to
initialize conn which can cause a NameError if get_db_connection() raises;
before the try block set conn = None (consistent with get_dataset_metadata and
query_dataset) so the finally block's if conn: conn.close() is safe, and keep
using get_db_connection() and the existing exception handling as-is.
1 participant
🚨 Severity: MEDIUM
💡 Vulnerability: Database error traces bubbling up to users or unhandled internally without logging can obscure the actual error mechanism or leak internal schema and path information if ever surfaced directly. The previous implementation returned a generic 500 without logging the trace server-side, preventing developers from observing exceptions.
🔧 Fix: Captured the detailed exception server-side using
logger.exception()within theexcept sqlite3.Error:blocks without changing the generic user-facingHTTPException.✅ Verification: Reviewers can safely test the fix by deliberately pointing the database to a non-existent file or causing an error inside SQLite, verifying that the console outputs the full stack trace while the API endpoint still correctly returns an HTTP 500 with "Database error occurred".
PR created automatically by Jules for task 4308305772060745827 started by @daggerstuff
Summary by Sourcery
Log database-related exceptions server-side while preserving generic HTTP 500 responses for clients.
Bug Fixes:
Enhancements:
Summary by cubic
Logs database exceptions on the server and keeps generic 500 responses to users in dataset endpoints. This prevents leaking DB details and improves debugging.
loggingandlogger.exception(...)in allexcept sqlite3.Error:blocks inapi/dataset_api.py.HTTPException(500, "Database error occurred")responses for clients.validate_identifiererror string into multiple lines to satisfyruffE501.Written for commit ef1d064. Summary will update on new commits.
Summary by CodeRabbit