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[Snyk] Fix for 2 vulnerabilities#718

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snyk-fix-36ff9c058e344a2660074df9ad9697ca
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[Snyk] Fix for 2 vulnerabilities#718
alejandrosuarez wants to merge 1 commit intomainfrom
snyk-fix-36ff9c058e344a2660074df9ad9697ca

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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/research_projects/intel_opts/textual_inversion/requirements.txt
⚠️ Warning
transformers 4.30.2 requires safetensors, which is not installed.
torchvision 0.14.1 requires torch, which is not installed.
tensorboard 2.11.2 requires protobuf, which is not installed.
accelerate 0.20.3 requires torch, which is not installed.

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  • Max score is 1000. Note that the real score may have changed since the PR was raised.
  • This PR was automatically created by Snyk using the credentials of a real user.
  • 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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…ents.txt to reduce vulnerabilities

The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-PROTOBUF-15090738
- https://snyk.io/vuln/SNYK-PYTHON-TORCH-15123585
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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 automates the resolution of critical security vulnerabilities within the project's Python dependencies. By updating specific package versions in the requirements.txt file, it aims to enhance the overall security posture of the application without requiring manual intervention.

Highlights

  • Vulnerability Fixes: This pull request, automatically generated by Snyk, addresses two identified vulnerabilities within the project's pip dependencies.
  • Dependency Updates: The requirements.txt file has been updated to explicitly pin protobuf to version 6.33.5 and torch to version 2.10.0 to mitigate these vulnerabilities.
Changelog
  • examples/research_projects/intel_opts/textual_inversion/requirements.txt
    • Added protobuf>=6.33.5 with a comment indicating it's pinned by Snyk to avoid a vulnerability.
    • Added torch>=2.10.0 with a comment indicating it's pinned by Snyk to avoid a vulnerability.
Activity
  • This pull request was automatically generated by Snyk to propose fixes for identified vulnerabilities.
  • The PR description includes warnings about potential missing dependencies (safetensors, torch, protobuf) for other packages, which should be reviewed.
  • Snyk provides links to a project report, PR template customization, project settings, and documentation on its upgrade logic.
  • Interactive lessons on vulnerability fixing are also linked.
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Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff Package Supply Chain
Security
Vulnerability Quality Maintenance License
Addedprotobuf@​6.33.5100100100100100

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Code Review

This Snyk pull request addresses two security vulnerabilities by updating protobuf and torch versions. The change is important for security. I've provided one suggestion to improve the requirements.txt file's clarity. The comment for the torch dependency is misleading because torch is a direct project dependency, and this should be reflected in the requirements file for better maintainability. As a general good practice, consider sorting the dependencies in this file alphabetically to make it easier to manage.

Jinja2
intel_extension_for_pytorch>=1.13
protobuf>=6.33.5 # not directly required, pinned by Snyk to avoid a vulnerability
torch>=2.10.0 # not directly required, pinned by Snyk to avoid a vulnerability

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medium

torch is a direct dependency of this project (it's imported in textual_inversion_bf16.py), so it should be explicitly listed in requirements.txt. The comment # not directly required... is therefore misleading and should be removed. While this PR correctly adds the dependency, updating the line to reflect it's a direct dependency will improve clarity.

torch>=2.10.0

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