scikit-learn
Pass
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: LOW
Full Analysis
- [Prompt Injection] (SAFE): No instruction bypass or override attempts found.
- [Data Exposure & Exfiltration] (SAFE): No network operations, sensitive file path access, or hardcoded credentials detected.
- [Obfuscation] (SAFE): The code is legible and free of encoded or hidden content.
- [Unverifiable Dependencies & Remote Code Execution] (SAFE): Uses trusted libraries (numpy, pandas, scikit-learn) for local processing; no remote code execution patterns identified.
- [Privilege Escalation] (SAFE): No use of sudo or system privilege modifications.
- [Indirect Prompt Injection] (INFO): Although the script processes data inputs, it lacks side-effect capabilities like shell execution or network access, mitigating risk.
- [Dynamic Execution] (SAFE): No unsafe use of eval(), exec(), or pickle.
Audit Metadata