[Snyk] Fix for 2 vulnerabilities by alejandrosuarez · Pull Request #716 · alejandrosuarez/diffusers

alejandrosuarez · 2026-02-03T02:46:27Z

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/onnxruntime/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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This PR was automatically created by Snyk using the credentials of a real user.
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…ments.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

gemini-code-assist · 2026-02-03T02:46:39Z

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 updating specific Python package versions to mitigate known vulnerabilities. It focuses on resolving issues related to protobuf and torch within a research project's dependency list, ensuring that the project utilizes more secure versions of these critical libraries.

Highlights

Automated Vulnerability Fixes: This pull request was automatically generated by Snyk to address two identified security vulnerabilities within the project's pip dependencies.
Dependency Version Updates: The requirements.txt file for the textual_inversion example has been updated to pin protobuf to version 6.33.5 and torch to version 2.10.0 to mitigate known vulnerabilities.

Changelog

examples/research_projects/onnxruntime/textual_inversion/requirements.txt
- Pinned protobuf to version 6.33.5 to resolve a vulnerability (SNYK-PYTHON-PROTOBUF-15090738).
- Pinned torch to version 2.10.0 to resolve a vulnerability (SNYK-PYTHON-TORCH-15123585).

Activity

The pull request was automatically generated by Snyk.
The PR description includes a warning about potential missing dependencies (safetensors, torch, protobuf) that are required by other packages but not directly installed.
It explicitly states that some vulnerabilities might not be fully fixed due to complex dependency graphs.
Provides links to Snyk reports, documentation, and interactive lessons for further information.

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Code Review

This pull request from Snyk aims to fix two security vulnerabilities by updating protobuf and torch. However, the proposed versions for both packages are invalid. protobuf>=6.33.5 specifies a non-existent version and would also conflict with tensorboard's requirements. torch>=2.10.0 is also a non-existent version, likely a typo for 2.1.0. These issues will break dependency installation and are marked as critical. Please review the suggested versions and correct them.

gemini-code-assist · 2026-02-03T02:47:30Z

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


The specified version 6.33.5 for protobuf does not appear to exist on PyPI, which will cause dependency installation to fail. Additionally, tensorboard (a dependency in this project) requires protobuf<4. Pinning to a version >=4 would create a dependency conflict. Please specify a valid version of protobuf that is <4 and fixes the vulnerability.

gemini-code-assist · 2026-02-03T02:47:31Z

 tensorboard
 modelcards
+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


The specified version 2.10.0 for torch appears to be a typo and does not exist on PyPI. This will cause the dependency installation to fail. It's likely the intended version was 2.1.0.

torch>=2.1.0 # not directly required, pinned by Snyk to avoid a vulnerability

socket-security · 2026-02-03T02:47:55Z

Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff	Package	Supply Chain Security	Vulnerability	Quality	Maintenance	License
	torch@2.2.0
	torch@2.4.1
	transformers@4.38.0
	transformers@4.46.1
	transformers@4.47.0
	torch@2.10.0
	wandb@0.24.1
	scipy@1.17.0
	transformers@5.0.0
	sentencepiece@0.2.0
	sentencepiece@0.2.1
	torchvision@0.25.0
	tensorboard@2.14.0
	tensorboard@2.20.0
	webdataset@1.0.2
	taming-transformers@0.0.1
	timm@1.0.24
	tqdm@4.66.5
	tqdm@4.67.2
	xformers@0.0.34
	protobuf@6.33.5

View full report

socket-security · 2026-02-03T02:47:57Z

Warning

Review the following alerts detected in dependencies.

According to your organization's Security Policy, it is recommended to resolve "Warn" alerts. Learn more about Socket for GitHub.

Action	Severity	Alert (click "▶" to expand/collapse)
Warn		Critical CVE: PyTorch: `pypi` torch`.load` with `weights_only=True` leads to remote code execution CVE: GHSA-53q9-r3pm-6pq6 PyTorch: `torch.load` with `weights_only=True` leads to remote code execution (CRITICAL) Affected versions: < 2.6.0 Patched version: 2.6.0 From: examples/research_projects/realfill/requirements.txt → `pypi/torch@2.2.0` ℹ Read more on: This package \| This alert \| What is a critical CVE? Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at `support@socket.dev`. Suggestion: Remove or replace dependencies that include known critical CVEs. Consumers can use dependency overrides or npm audit fix --force to remove vulnerable dependencies. Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment `@SocketSecurity ignore pypi/torch@2.2.0`. You can also ignore all packages with `@SocketSecurity ignore-all`. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.
Warn		Critical CVE: PyTorch: `pypi` torch`.load` with `weights_only=True` leads to remote code execution CVE: GHSA-53q9-r3pm-6pq6 PyTorch: `torch.load` with `weights_only=True` leads to remote code execution (CRITICAL) Affected versions: < 2.6.0 Patched version: 2.6.0 From: examples/server/requirements.txt → `pypi/torch@2.4.1` ℹ Read more on: This package \| This alert \| What is a critical CVE? Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at `support@socket.dev`. Suggestion: Remove or replace dependencies that include known critical CVEs. Consumers can use dependency overrides or npm audit fix --force to remove vulnerable dependencies. Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment `@SocketSecurity ignore pypi/torch@2.4.1`. You can also ignore all packages with `@SocketSecurity ignore-all`. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

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gemini-code-assist Bot reviewed Feb 3, 2026

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[Snyk] Fix for 2 vulnerabilities#716

[Snyk] Fix for 2 vulnerabilities#716
alejandrosuarez wants to merge 1 commit into
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snyk-fix-dcca5bdedfae0beafab3bd94bccac336

alejandrosuarez commented Feb 3, 2026

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alejandrosuarez commented Feb 3, 2026

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

Snyk changed the following file(s):

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gemini-code-assist Bot commented Feb 3, 2026

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