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[Snyk] Fix for 2 vulnerabilities#720

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snyk-fix-79f675ab82a3ed28408a30c0c1fa8c2f
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[Snyk] Fix for 2 vulnerabilities#720
alejandrosuarez wants to merge 1 commit intomainfrom
snyk-fix-79f675ab82a3ed28408a30c0c1fa8c2f

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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/textual_inversion/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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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 enhances the security posture of the project by automatically updating specific Python dependencies to patched versions. It targets known vulnerabilities in protobuf and zipp within the requirements.txt file for the textual_inversion example, ensuring that the project utilizes more secure library versions and reduces potential security risks.

Highlights

  • Vulnerability Fixes: This pull request addresses and fixes two identified vulnerabilities within the project's pip dependencies, as detected by Snyk.
  • Dependency Updates: The protobuf package has been pinned to version 6.33.5 to mitigate the SNYK-PYTHON-PROTOBUF-15090738 vulnerability.
  • Dependency Updates: The zipp package has been pinned to version 3.19.1 to mitigate the SNYK-PYTHON-ZIPP-7430899 vulnerability.
  • Affected File: These dependency updates are applied to the examples/textual_inversion/requirements.txt file.
Changelog
  • examples/textual_inversion/requirements.txt
    • Added protobuf>=6.33.5 to explicitly pin the version and address a Snyk-identified vulnerability.
    • Added zipp>=3.19.1 to explicitly pin the version and address a Snyk-identified vulnerability.
Activity
  • This pull request was automatically generated by Snyk to address identified vulnerabilities.
  • The PR includes a warning regarding transformers requiring safetensors and tensorboard requiring protobuf, which may not be fully resolved by this change.
  • Links to the Snyk project report, PR template customization, project settings, and Snyk's upgrade logic documentation are provided for further context and management.
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Code Review

This pull request from Snyk aims to fix two security vulnerabilities by updating protobuf and zipp dependencies. While the update for zipp seems correct, the proposed version for protobuf (>=6.33.5) is invalid and will cause dependency conflicts with the tensorboard package, breaking the environment setup. This is a critical issue that needs to be resolved by selecting a protobuf version that is compatible with tensorboard and also patches the vulnerability.

ftfy
tensorboard
Jinja2
protobuf>=6.33.5 # not directly required, pinned by Snyk to avoid a vulnerability

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critical

The version constraint protobuf>=6.33.5 will cause dependency conflicts and break the installation. The tensorboard package, also listed in this file, has specific version requirements for protobuf. For instance, tensorboard==2.11.2 (mentioned in the PR description warning) requires protobuf<4,>=3.9.2, while more recent versions of tensorboard require protobuf<5. The constraint protobuf>=6.33.5 is incompatible with any version of tensorboard.

To fix this, please use a protobuf version that both resolves the vulnerability and is compatible with tensorboard. It is also recommended to pin the version of tensorboard to ensure a reproducible environment.

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