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Security: systats/ml

Security

SECURITY.md

Security Policy

Supported versions

Version Supported
1.x ✓ Active

Reporting a vulnerability

Do not open a public GitHub issue for security vulnerabilities.

Email: security@epagogy.ai

Include:

  • Description of the vulnerability
  • Steps to reproduce
  • Potential impact
  • Suggested fix (if you have one)

You will receive a response within 7 days. We follow responsible disclosure — we ask for 90 days to patch before public disclosure.

Scope

Security issues we care about:

  • Model deserialization vulnerabilities (ml.load() uses skops with a trusted-types whitelist)
  • Dependency vulnerabilities in the dependency chain
  • Data leakage bugs that could cause incorrect security-sensitive ML predictions

Out of scope: issues in user-supplied data or models (we're a library, not a service).

Known security considerations

Model loading: ml.load() uses skops format with a trusted-types whitelist. Only known-safe sklearn, XGBoost, LightGBM, and CatBoost types are allowed. Do not load model files from untrusted sources — this applies to any ML serialization format.

There aren’t any published security advisories