NYC

deepchem

Pass

Audited by Gen Agent Trust Hub on Feb 16, 2026

Risk Level: LOW
Full Analysis
  • [SAFE] (SAFE): No malicious patterns or security vulnerabilities were identified. The scripts are legitimate tools for molecular modeling and solubility prediction using established libraries.
  • [SAFE] (SAFE): Data ingestion is limited to MoleculeNet benchmark datasets and user-provided CSV files, both of which are processed using standard DeepChem loaders. The use of argparse with restricted choices for dataset names prevents arbitrary function calls via getattr.
  • [SAFE] (SAFE): No evidence of credential theft, unauthorized data exfiltration, or remote code execution was found. The scripts do not use dangerous functions like eval(), exec(), or subprocess.run().
Audit Metadata
Risk Level
LOW
Analyzed
Feb 16, 2026, 03:25 AM