[Snyk] Fix for 2 vulnerabilities#714
Conversation
….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
Summary of ChangesHello @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 Highlights
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
|
Review the following changes in direct dependencies. Learn more about Socket for GitHub.
|
There was a problem hiding this comment.
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.
| 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 |
There was a problem hiding this comment.
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.
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.txtImportant
Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.
For more information:
🧐 View latest project report
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic
Learn how to fix vulnerabilities with free interactive lessons:
🦉 Learn about vulnerability in an interactive lesson of Snyk Learn.