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[Snyk] Fix for 2 vulnerabilities#723

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snyk-fix-5c16405efa53a87999a1fad9869fc2c9
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[Snyk] Fix for 2 vulnerabilities#723
alejandrosuarez wants to merge 1 commit intomainfrom
snyk-fix-5c16405efa53a87999a1fad9869fc2c9

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Snyk has created this PR to fix 2 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

  • examples/text_to_image/requirements.txt
⚠️ Warning
transformers 4.30.2 requires safetensors, which is not installed.
tensorboard 2.11.2 requires protobuf, which is not installed.

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  • Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

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Summary of Changes

Hello @alejandrosuarez, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request, automatically generated by Snyk, aims to enhance the security posture of the project by resolving two critical vulnerabilities found in its Python dependencies. It achieves this by updating the protobuf and zipp package versions within the examples/text_to_image/requirements.txt file, ensuring that the project utilizes more secure versions of these libraries.

Highlights

  • Dependency Updates for Security: This pull request introduces updates to two Python dependencies, protobuf and zipp, to address identified security vulnerabilities. These updates are automatically generated by Snyk.
  • Targeted File Change: The changes are confined to the examples/text_to_image/requirements.txt file, specifically adding new version pins for the vulnerable packages.
  • Vulnerability Mitigation: The protobuf package is updated to version >=5.29.6 and zipp is updated to version >=3.19.1 to mitigate 'SNYK-PYTHON-PROTOBUF-15090738' and 'SNYK-PYTHON-ZIPP-7430899' respectively.
Changelog
  • examples/text_to_image/requirements.txt
    • Added protobuf>=5.29.6 to address a vulnerability (SNYK-PYTHON-PROTOBUF-15090738).
    • Added zipp>=3.19.1 to address a vulnerability (SNYK-PYTHON-ZIPP-7430899).
Activity
  • This pull request was automatically created by Snyk to propose a fix for identified vulnerabilities in the project's dependencies. No human activity has been recorded yet.
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Code Review

This pull request, automatically generated by Snyk, addresses two security vulnerabilities by pinning protobuf and zipp to newer versions. While this fixes the vulnerabilities, directly pinning transitive dependencies can make dependency management fragile and lead to conflicts. My review includes suggestions to manage the direct dependencies (like tensorboard) instead, which is a more robust approach to resolving these transitive vulnerabilities. This may involve upgrading tensorboard, which is a major change that needs careful consideration for potential breaking changes.

tensorboard
Jinja2
peft==0.7.0
protobuf>=5.29.6 # not directly required, pinned by Snyk to avoid a vulnerability

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medium

Pinning the protobuf version directly to >5.x can lead to dependency conflicts. tensorboard, a direct dependency in this file, has strict version requirements for protobuf. For instance, tensorboard versions older than 2.17.0 are generally not compatible with protobuf>=5.0. This change will likely force a major version upgrade of tensorboard, which could introduce breaking changes to your project.

A more robust approach is to manage your direct dependencies. Consider pinning tensorboard on line 6 to a version that is compatible with a secure protobuf version (e.g., tensorboard>=2.17.0). This would allow pip to resolve a secure and compatible version of protobuf automatically, making your dependencies more explicit and less brittle.

Jinja2
peft==0.7.0
protobuf>=5.29.6 # not directly required, pinned by Snyk to avoid a vulnerability
zipp>=3.19.1 # not directly required, pinned by Snyk to avoid a vulnerability

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medium

Similar to protobuf, zipp is a transitive dependency. Pinning it directly can make dependency resolution more fragile. It's generally better to manage direct dependencies and let them handle their transitive dependencies. In this case, zipp is required by importlib-metadata, which is used by tensorboard and transformers. Ensuring these direct dependencies are up-to-date is a more robust way to get a secure version of zipp.

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