pymc-bayesian-modeling

Warn

Audited by Gen Agent Trust Hub on Jun 30, 2026

Risk Level: MEDIUMREMOTE_CODE_EXECUTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The file 'references/workflows.md' contains example code suggesting the use of the 'pickle' module to save and restore model states and results. Deserializing data using 'pickle.load()' is dangerous because it can execute arbitrary Python code embedded within the data. While the example uses a local file, this pattern is a common vector for remote code execution if an attacker can influence the saved file.
  • Evidence: 'with open("model.pkl", "rb") as f: saved = pickle.load(f)' found in the 'Saving and Loading Results' section of 'references/workflows.md'.
  • Mitigation: Users should be advised to use safer serialization formats such as NetCDF (via ArviZ's 'to_netcdf' and 'from_netcdf' functions) or JSON, which are mentioned elsewhere in the skill and do not allow arbitrary code execution.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Jun 30, 2026, 03:46 PM
Security Audit — agent-trust-hub — pymc-bayesian-modeling