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[Snyk] Security upgrade python from 3.13.0b4 to 3.13 #29

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@abdulrahman305 abdulrahman305 commented Nov 12, 2024

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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/jobs/pipelines-with-components/nyc_taxi_data_regression/env_train/Dockerfile

We recommend upgrading to python:3.13, as this image has only 178 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-AOM-7197979
  263  
critical severity Integer Overflow or Wraparound
SNYK-DEBIAN12-EXPAT-7855502
  263  
critical severity Integer Overflow or Wraparound
SNYK-DEBIAN12-EXPAT-7855502
  263  
critical severity Integer Overflow or Wraparound
SNYK-DEBIAN12-EXPAT-7855503
  263  
critical severity Integer Overflow or Wraparound
SNYK-DEBIAN12-EXPAT-7855503
  263  

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  • Check the changes in this PR to ensure they won't cause issues with your project.
  • Max score is 1000. Note that the real score may have changed since the PR was raised.
  • This PR was automatically created by Snyk using the credentials of a real user.

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Description by Korbit AI

What change is being made?

Upgrade the Python version in the Dockerfile from 3.13.0b4 to the stable release 3.13.

Why are these changes being made?

To address potential security vulnerabilities and ensure stability by using the official stable release rather than a beta version of Python. This change enhances the reliability of dependencies and ensures better long-term maintenance support.

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codeautopilot bot commented Nov 12, 2024

PR summary

This Pull Request aims to upgrade the Python version in the Dockerfile from 3.13.0b4 to 3.13 to address security vulnerabilities. The upgrade is intended to reduce the number of known vulnerabilities in the Docker image from the current version to a more secure version with only 178 known vulnerabilities. This change is crucial for maintaining the security and stability of the application by mitigating risks associated with the identified vulnerabilities, such as integer overflow or wraparound issues.

Suggestion

Before merging, ensure that the application is thoroughly tested with the new Python version to confirm that no functionality is broken. Additionally, consider setting up automated tests to verify compatibility with future updates to the base image. This proactive approach can help maintain security and functionality over time.

Disclaimer: This comment was entirely generated using AI. Be aware that the information provided may be incorrect.

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