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Description
A security audit of the current dependencies in requirements.txt has identified several high-severity vulnerabilities. While these are pinned via the pip-compile process from requirements.in, they introduce known security risks that could potentially affect users.
Identified Vulnerabilities:
- cryptography: GHSA-r6ph-v2qm-q3c2 (High)
- keras: GHSA-3m4q-jmj6-r34q (High)
- pillow: GHSA-cfh3-3jmp-rvhc (High)
- protobuf: GHSA-7gcm-g887-7qv7 (High)
- tornado: GHSA-qjxf-f2mg-c6mc (High)
Recommendation:
Updating these core dependencies (especially tensorflow and its transitives) to safer versions by updating requirements.in and regenerating requirements.txt would significantly improve the security posture of the project.
I'm flagging this as an issue for discussion to determine the best timing for a dependency bump, as these changes can sometimes introduce breaking changes in large-scale projects.
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