performance-engineering
Fail
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: HIGHCOMMAND_EXECUTIONDATA_EXFILTRATIONCREDENTIALS_UNSAFE
Full Analysis
- [COMMAND_EXECUTION] (HIGH): Multiple SQL Injection vulnerabilities in
examples/optimization/api_optimization.ts. User-controlled variables (cursor,ids,fields, andid) are directly interpolated into SQL strings without any sanitization or use of parameterized queries, allowing for arbitrary database command execution. - [DATA_EXFILTRATION] (HIGH): The field selection implementation in
api_optimization.tsallows a user to specify arbitrary database columns through thefieldsquery parameter, which can be exploited to exfiltrate sensitive data from the users table. - [CREDENTIALS_UNSAFE] (LOW): Hardcoded credentials (
testuser/testpass) are present inexamples/locust/load_test.pyfor authentication simulation. - [COMMAND_EXECUTION] (MEDIUM): The
examples/profiling/python/pyspy_example.shscript utilizespy-spy, a tool that requires elevated system privileges (e.g., ptrace capabilities or root access) to profile external processes, posing a potential privilege escalation risk if misused.
Recommendations
- AI detected serious security threats
Audit Metadata