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[Snyk] Security upgrade python from 3.8 to 3.14.0a4 #42

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@abdulrahman305 abdulrahman305 commented Jan 16, 2025

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Snyk has created this PR to fix 3 vulnerabilities in the dockerfile dependencies of this project.

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

Snyk changed the following file(s):

  • cli/assets/environment/docker-contexts/python-and-pip/Dockerfile

We recommend upgrading to python:3.14.0a4, as this image has only 172 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Vulnerabilities that will be fixed with an upgrade:

Issue Score
critical severity Integer Overflow or Wraparound
SNYK-DEBIAN12-ZLIB-6008963
  240  
critical severity Integer Overflow or Wraparound
SNYK-DEBIAN12-ZLIB-6008963
  240  
low severity Inappropriate Encoding for Output Context
SNYK-DEBIAN12-OPENSSH-1556053
  220  
low severity Out-of-bounds Write
SNYK-DEBIAN12-OPENJPEG2-1555618
  185  
low severity Out-of-bounds Write
SNYK-DEBIAN12-OPENJPEG2-1555618
  185  

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Description by Korbit AI

What change is being made?

Upgrade Python version from 3.8 to 3.14.0a4 in the Dockerfile used for the Python and pip environment setup.

Why are these changes being made?

This upgrade addresses security vulnerabilities associated with Python 3.8 and ensures compatibility with the latest features and improvements available in the 3.14.0a4 release. Using an alpha version could introduce instability, but it's necessary for testing cutting-edge functions and features.

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codeautopilot bot commented Jan 16, 2025

PR Summary

This Pull Request, automatically generated by Snyk, proposes an upgrade of the Python base image in the Dockerfile from version 3.8 to 3.14.0a4. The primary purpose of this change is to address and mitigate several security vulnerabilities identified in the current Docker image dependencies. Specifically, it aims to fix vulnerabilities related to integer overflow, inappropriate encoding, and out-of-bounds write issues. By upgrading to the newer Python version, the number of known vulnerabilities is reduced, although the new image still contains 172 known vulnerabilities. It is crucial to test the application thoroughly after merging to ensure compatibility with the new Python version.

Suggestion

While upgrading to a newer Python version can help address some vulnerabilities, using an alpha version (3.14.0a4) may introduce instability or unexpected behavior in the application. It is advisable to consider upgrading to a stable release version if available, to balance security improvements with application stability. Additionally, ensure comprehensive testing is conducted to verify that the application functions correctly with the new Python version.

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