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[Snyk] Security upgrade python from 3.7-slim to 3.14.3-slim#122

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[Snyk] Security upgrade python from 3.7-slim to 3.14.3-slim#122
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@Cdaprod

@Cdaprod Cdaprod commented Feb 6, 2026

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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):

  • examples/cloud_run_http/Dockerfile

We recommend upgrading to python:3.14.3-slim, as this image has only 26 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
high severity Out-of-bounds Write
SNYK-DEBIAN12-GLIBC-5927132
  829  
high severity Out-of-bounds Write
SNYK-DEBIAN12-GLIBC-5927132
  829  
high severity Out-of-bounds Write
SNYK-DEBIAN12-GLIBC-6210098
  721  
high severity Allocation of Resources Without Limits or Throttling
SNYK-DEBIAN12-SYSTEMD-6277507
  721  
high severity Allocation of Resources Without Limits or Throttling
SNYK-DEBIAN12-SYSTEMD-6277507
  721  

Important

  • 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.

Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

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Learn how to fix vulnerabilities with free interactive lessons:

🦉 Out-of-bounds Write
🦉 Allocation of Resources Without Limits or Throttling

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💡 Codex Review

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Reviewed commit: 0d19f53173

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# Use the official Python image.
# https://hub.docker.com/_/python
FROM python:3.7-slim
FROM python:3.14.3-slim

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P2 Badge Keep example base image within supported Python versions

The example container now pins Python 3.14.3, but this repo’s declared/tested support only goes through 3.10 (see setup.py classifiers and tox.ini envlist). That means users following this Cloud Run sample are pushed onto an untested Python version where dependencies like functions-framework/gunicorn may not install or behave correctly. Consider using the highest supported/tested version instead to keep the example aligned with the project’s compatibility guarantees.

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