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[Snyk] Fix for 2 vulnerabilities#714

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snyk-fix-9a989e172f531301bedab80b34a649e4
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[Snyk] Fix for 2 vulnerabilities#714
alejandrosuarez wants to merge 1 commit into
mainfrom
snyk-fix-9a989e172f531301bedab80b34a649e4

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@alejandrosuarez
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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/multi_subject_dreambooth/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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  • 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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….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 aims to enhance the security posture of the project by automatically resolving two critical vulnerabilities found in its Python dependencies. It achieves this by updating the requirements.txt file for a specific research project example, ensuring that vulnerable package versions are upgraded to secure ones, thereby maintaining the integrity and stability of the application's environment.

Highlights

  • Automated Vulnerability Fix: This pull request was automatically generated by Snyk to address two identified security vulnerabilities in the project's pip dependencies.
  • Dependency Updates: The examples/research_projects/multi_subject_dreambooth/requirements.txt file has been updated to pin specific versions of protobuf and torch.
  • Security Patch: Specifically, protobuf is now pinned to >=6.33.5 and torch to >=2.10.0 to mitigate the vulnerabilities.
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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 pull request, automatically generated by Snyk, aims to fix two security vulnerabilities by updating protobuf and torch dependencies. However, the specified target versions for both packages (protobuf>=6.33.5 and torch>=2.10.0) appear to be invalid as they don't exist on PyPI. This will cause the project's dependencies to fail to install. This is a critical issue that needs to be addressed by providing correct and existing package versions.

Comment on lines +7 to +8
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 No newline at end of file
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critical

The versions specified for protobuf and torch appear to be incorrect. protobuf>=6.33.5 and torch>=2.10.0 are likely to cause installation errors as these versions do not seem to be available on PyPI.

For torch, the latest versions are in the 2.x series, like 2.3.0. Perhaps 2.1.0 was intended instead of 2.10.0?

For protobuf, the latest versions are in the 5.x series. tensorboard in this project (version 2.11.2 is mentioned in the PR description) has a dependency on protobuf<4,>=3.9.2. The specified version 6.33.5 is not only non-existent but would also be incompatible.

Please verify the correct versions needed to fix the vulnerabilities and update the requirements.txt file accordingly. It seems there might be a bug in the Snyk bot that generated this PR.

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