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[Snyk] Security upgrade python from 3.8-slim to 3.13.0a4-slim #4

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This PR was automatically created by Snyk using the credentials of a real user.


Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Changes included in this PR

  • docker/accelerate-cpu/Dockerfile

We recommend upgrading to python:3.13.0a4-slim, as this image has only 45 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Some of the most important vulnerabilities in your base image include:

Severity Priority Score / 1000 Issue Exploit Maturity
high severity 400 Resource Exhaustion
SNYK-DEBIAN12-EXPAT-6227597
No Known Exploit
medium severity 300 Improper Restriction of Recursive Entity References in DTDs ('XML Entity Expansion')
SNYK-DEBIAN12-EXPAT-6227603
No Known Exploit
high severity 471 Allocation of Resources Without Limits or Throttling
SNYK-DEBIAN12-SYSTEMD-6277507
No Known Exploit
high severity 471 Allocation of Resources Without Limits or Throttling
SNYK-DEBIAN12-SYSTEMD-6277507
No Known Exploit
critical severity 500 Integer Overflow or Wraparound
SNYK-DEBIAN12-ZLIB-6008963
No Known Exploit

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

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Learn how to fix vulnerabilities with free interactive lessons:

🦉 Allocation of Resources Without Limits or Throttling
🦉 Resource Exhaustion

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⚠️ No Changeset found

Latest commit: fe9e194

Merging this PR will not cause a version bump for any packages. If these changes should not result in a new version, you're good to go. If these changes should result in a version bump, you need to add a changeset.

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Click here if you're a maintainer who wants to add a changeset to this PR

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PR Type: Enhancement

PR Summary: This pull request focuses on upgrading the Python version used in the Dockerfile for a CPU-only Docker image of PyTorch from 3.8-slim to 3.13.0a4-slim. The upgrade aims to reduce the known vulnerabilities associated with the base image by moving to a version with fewer known security issues.

Decision: Comment

📝 Type: 'Enhancement' - not supported yet.
  • Sourcery currently only approves 'Typo fix' PRs.
✅ Issue addressed: this change correctly addresses the issue or implements the desired feature.
No details provided.
✅ Small diff: the diff is small enough to approve with confidence.
No details provided.

General suggestions:

  • Ensure comprehensive testing is conducted to verify that the application and all dependencies are fully compatible with Python 3.13.0a4-slim. This includes both unit and integration tests to cover new Python features and dependency resolution.
  • Incorporate automated security scanning or manual verification into the testing process to confirm that the vulnerabilities listed in the PR description are effectively mitigated by the upgrade.
  • Consider the broader impact of this upgrade on the application's performance and functionality, especially in areas that might be affected by changes in the Python version. Adjustments or optimizations may be necessary to maintain or improve performance and stability.

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@@ -1,7 +1,7 @@
# Builds CPU-only Docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
FROM python:3.8-slim as compile-image
FROM python:3.13.0a4-slim as compile-image
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suggestion (llm): Given the upgrade to Python 3.13.0a4-slim, it's crucial to ensure that all dependencies and the application itself are fully compatible with this new Python version. I recommend adding tests or extending existing ones to cover the usage of new Python features (if any are used) and to verify that all dependencies are resolved correctly without any version conflicts.

@@ -25,7 +25,7 @@ RUN python3 -m pip install --no-cache-dir \
--extra-index-url https://download.pytorch.org/whl/cpu

# Stage 2
FROM python:3.8-slim AS build-image
FROM python:3.13.0a4-slim AS build-image
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suggestion (llm): Upgrading the Python version in the build-image stage as well requires a thorough testing strategy to ensure that the final built image is stable and behaves as expected. It would be beneficial to include integration tests that verify the application's functionality within this new Docker image, focusing on areas that might be affected by the Python version change.

@@ -1,7 +1,7 @@
# Builds CPU-only Docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
FROM python:3.8-slim as compile-image
FROM python:3.13.0a4-slim as compile-image
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suggestion (llm): It's important to verify that the security vulnerabilities mentioned in the PR description are indeed mitigated by this Python version upgrade. Automated security scanning or manual verification should be part of the testing process to confirm that the specific vulnerabilities are no longer present.

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