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🛡️ Sentinel: [MEDIUM] Fix SQL template injection risk (#154)
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.jules/sentinel.md

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**Vulnerability:** The `GitIndexer` class executed the `git` binary using a hardcoded string `git` in `subprocess.run`, which allowed for path hijacking where an attacker could put a malicious `git` binary in the PATH environment variable.
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**Learning:** Hardcoding binary paths creates a path hijacking risk. It's essential to retrieve the absolute path using `shutil.which` to ensure the correct executable is run.
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**Prevention:** Always use `shutil.which('git')` and gracefully handle the possibility that the binary doesn't exist before executing `subprocess.run`.
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## 2024-05-30 - Fix SQL Structure Injection Risk
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**Vulnerability:** The `EpisodicStore.query` method used `.format()` to construct SQL queries, allowing potential structural injection if variables controlling structure (like `where_clause`) are not completely sanitized.
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**Learning:** Using `.format()` or f-strings for SQL query templates risks accidental manipulation of query structure, even when dynamic data is supposedly controlled.
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**Prevention:** Build SQL strings using explicit concatenation of static fragments and use if/else logic for identifiers like `ASC`/`DESC` to ensure the structure is immune to dynamic data manipulation.

pr_body.txt

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💡 What: Added explicit visual feedback in the Output Channel when the user dismisses a persistent error state via the status bar. Replaced direct assignment of `isError` with the dedicated `setError` state updater for improved state-handling semantics.
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🎯 **What**
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Fixed a medium severity security risk in `EpisodicStore.query` where `.format()` was being used to insert `where_clause` and `direction` into a SQL query template string.
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🎯 Why: To improve the user experience by providing a reassuring confirmation in the logs that the error has been acknowledged and dismissed. Additionally, utilizing the correct state-handling method avoids relying on side-effect updates.
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⚠️ **Risk**
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Using string formatting mechanisms like `.format()` or f-strings for SQL structure exposes the code to SQL Structural Injection. Even if the variables (like `ASC`/`DESC`) are currently heavily sanitized or generated statically internally, using `.format()` creates a dangerous anti-pattern that can be exploited in the future if input validation logic is modified or bypassed.
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📸 Before/After: Before, dismissing an error via clicking the status bar silently reset the flag and refreshed the UI. After, clicking the status bar logs a clear visual indication ('✓ Error state cleared by user') if an error state was active.
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♿ Accessibility: Ensures that users and screen readers navigating through the interaction logs receive confirmation of error resolution.
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🛡️ **Solution**
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Refactored the SQL query building to use explicit static string concatenation along with strict `if/else` logic specifically for identifiers like the `ASC`/`DESC` direction parameter. This makes the query completely immune to structural manipulation from dynamic data and complies with the LedgerMind secure coding standards for SQL template generation.

src/ledgermind/core/stores/episodic.py

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where_clause = ""
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if query_parts:
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where_clause = "WHERE " + " AND ".join(query_parts)
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where_clause = " WHERE " + " AND ".join(query_parts)
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direction = 'ASC' if order.upper() == 'ASC' else 'DESC'
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sql_template = "SELECT id, source, kind, content, context, timestamp, status, linked_id, link_strength FROM events {} ORDER BY id {} LIMIT ?"
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sql = sql_template.format(where_clause, direction)
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# Explicit string concatenation to prevent SQL injection or formatting issues
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if order.upper() == 'ASC':
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sql = "SELECT id, source, kind, content, context, timestamp, status, linked_id, link_strength FROM events" + where_clause + " ORDER BY id ASC LIMIT ?"
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else:
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sql = "SELECT id, source, kind, content, context, timestamp, status, linked_id, link_strength FROM events" + where_clause + " ORDER BY id DESC LIMIT ?"
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params.append(limit)
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cursor = conn.execute(sql, params)

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