π‘οΈ Sentinel: [CRITICAL] Fix DuckDB SQL injection - #110
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Replaced f-string interpolation of start_time and end_time with parameterized ?::TIMESTAMP bindings in DuckDBMeterDataRepository to prevent SQL injection and improve query caching. Updated associated unit tests to verify parameterization. Co-authored-by: aperetti <482392+aperetti@users.noreply.github.com>
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π¨ Severity: CRITICAL
π‘ Vulnerability: The DuckDB meter data adapter (
DuckDBMeterDataRepository) was using f-string interpolation to insertstart_timeandend_timeinto SQL queries (e.g.,WHERE r.timestamp >= '{st_lit}'::TIMESTAMP). Even with basic quote escaping, this pattern is dangerous and highly vulnerable to SQL injection, particularly given DuckDB's powerful analytical capabilities.π― Impact: Exploitation of this vulnerability could allow an attacker to execute arbitrary DuckDB queries, potentially leading to unauthorized data exfiltration, modification, or denial of service within the local analytical engine.
π§ Fix: Refactored all query generation methods (
estimate_aggregate_consumption,get_aggregate_consumption,get_voltage_distribution,estimate_map_voltage,get_map_voltage,get_map_edge_load,get_phase_balancing) to utilize DuckDB's native parameter binding (?::TIMESTAMP) via the parameter list argument ofconn.execute(). Furthermore, associated unit tests intest_duckdb_adapter.pyhave been properly mocked and updated to assert the secure parameterization of the generated queries. Added a critical learning entry to.jules/sentinel.mdnoting the vulnerability.β Verification: Ensure the test suite passes successfully.
PR created automatically by Jules for task 1715859069918372886 started by @aperetti