🛡️ Sentinel: [MEDIUM] Fix Information Exposure through Error Messages#104
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daggerstuff merged 1 commit intostagingfrom Mar 30, 2026
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Reviewer's guide (collapsed on small PRs)Reviewer's GuideHandles sqlite3 errors in dataset API endpoints by logging server-side details and returning a generic 500 response to avoid leaking database error information to clients. Sequence diagram for dataset API sqlite3 error handlingsequenceDiagram
actor Client
participant DatasetAPI as dataset_api
participant SQLite as sqlite3
participant Logger as logger
Client->>DatasetAPI: HTTP request (list_datasets|get_dataset_metadata|query_dataset)
DatasetAPI->>SQLite: Execute SQL query
SQLite-->>DatasetAPI: sqlite3.Error e
DatasetAPI->>Logger: error(Database error: e)
DatasetAPI-->>Client: HTTP 500 response (detail: Database error occurred)
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Hey - I've left some high level feedback:
- The three
sqlite3.Errorhandlers are identical; consider factoring the logging and HTTPException raising into a small helper to avoid repetition and keep behavior consistent across endpoints. - Using
logger.exception("Database error")(instead of interpolatingeinto the message) would automatically include the stack trace and avoid stringifying potentially sensitive details from the underlying database error.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- The three `sqlite3.Error` handlers are identical; consider factoring the logging and HTTPException raising into a small helper to avoid repetition and keep behavior consistent across endpoints.
- Using `logger.exception("Database error")` (instead of interpolating `e` into the message) would automatically include the stack trace and avoid stringifying potentially sensitive details from the underlying database error.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
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📝 WalkthroughWalkthroughThe PR adds module-level logging to the dataset API. Three database error handlers now capture and log Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Possibly related PRs
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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)
135-190:⚠️ Potential issue | 🔴 CriticalInitialize
connbeforetryinlist_datasetsto avoidUnboundLocalError.If
get_db_connection()fails,finally(Line 188) can referenceconnbefore assignment and mask the original DB 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() cursor = conn.cursor() @@ finally: - if conn: + if conn is not None: conn.close()🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@api/dataset_api.py` around lines 135 - 190, The function list_datasets can raise UnboundLocalError in the finally block if get_db_connection() fails because conn is never assigned; to fix, initialize conn = None (and optionally cursor = None) before the try block, then inside finally check if conn is not None before calling conn.close(); ensure any references to cursor (e.g., cursor = conn.cursor(), cursor.execute(...), fetchall()) only occur after a successful conn and handle/raise the original sqlite3.Error from the try block so validate_identifier, DatasetMetadata creation, and error logging remain correct.
🧹 Nitpick comments (1)
api/dataset_api.py (1)
184-185: Use exception logging with traceback and operation context.Current logging records only the message text. Using
logger.exception(...)preserves stack traces and makes incident triage much easier.🛠️ Proposed refactor
- except sqlite3.Error as e: - logger.error(f"Database error: {e}") + except sqlite3.Error: + logger.exception("Database error in list_datasets") raise HTTPException(status_code=500, detail="Database error occurred") @@ - except sqlite3.Error as e: - logger.error(f"Database error: {e}") + except sqlite3.Error: + logger.exception("Database error in get_dataset_metadata") raise HTTPException(status_code=500, detail="Database error occurred") @@ - except sqlite3.Error as e: - logger.error(f"Database error: {e}") + except sqlite3.Error: + logger.exception("Database error in query_dataset") raise HTTPException(status_code=500, detail="Database error occurred")Also applies to: 242-243, 323-324
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@api/dataset_api.py` around lines 184 - 185, Replace plain logger.error calls in the sqlite3 except blocks with logger.exception and include concise operation context: where you currently have "except sqlite3.Error as e: logger.error(f\"Database error: {e}\")" (and the similar occurrences around the other blocks), change to logger.exception("Database error while <describe operation e.g. executing query / opening connection / committing transaction>") so the traceback is preserved; update the message text to reflect the specific operation in the function where the exception is caught (use the surrounding function name or query description) and remove the explicit formatting of the exception since logger.exception logs the exception automatically.
🤖 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 135-190: The function list_datasets can raise UnboundLocalError in
the finally block if get_db_connection() fails because conn is never assigned;
to fix, initialize conn = None (and optionally cursor = None) before the try
block, then inside finally check if conn is not None before calling
conn.close(); ensure any references to cursor (e.g., cursor = conn.cursor(),
cursor.execute(...), fetchall()) only occur after a successful conn and
handle/raise the original sqlite3.Error from the try block so
validate_identifier, DatasetMetadata creation, and error logging remain correct.
---
Nitpick comments:
In `@api/dataset_api.py`:
- Around line 184-185: Replace plain logger.error calls in the sqlite3 except
blocks with logger.exception and include concise operation context: where you
currently have "except sqlite3.Error as e: logger.error(f\"Database error:
{e}\")" (and the similar occurrences around the other blocks), change to
logger.exception("Database error while <describe operation e.g. executing query
/ opening connection / committing transaction>") so the traceback is preserved;
update the message text to reflect the specific operation in the function where
the exception is caught (use the surrounding function name or query description)
and remove the explicit formatting of the exception since logger.exception logs
the exception automatically.
daggerstuff
deleted the
security/prevent-sql-leakage-12345-14105991672246581421
branch
This was referenced Mar 31, 2026
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🚨 Severity: MEDIUM
💡 Vulnerability: Information Exposure through Database Error Messages.
🔧 Fix: Caught
sqlite3.Errorand logged detailed error context server-side before returning an HTTP 500 error to the client, preventing leakage.✅ Verification: Run
bash -c 'uv run pytest'to verify errors are handled correctly without leaking.PR created automatically by Jules for task 14105991672246581421 started by @daggerstuff
Summary by Sourcery
Bug Fixes:
Summary by cubic
Prevented database error details from leaking to clients by catching
sqlite3.Errorin dataset endpoints, logging server-side, and returning a generic HTTP 500. This closes a medium-severity information exposure risk.sqlite3.Errorinlist_datasets,get_dataset_metadata, andquery_dataset; log withlogging.Written for commit db029bc. Summary will update on new commits.
Summary by CodeRabbit
Release Notes