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