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[Snyk] Security upgrade tensorflow/tensorflow from 2.11.0-gpu to 2.18.0-gpu #32

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Snyk has created this PR to fix 4 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):

  • finetune/Dockerfile

We recommend upgrading to tensorflow/tensorflow:2.18.0-gpu, as this image has only 88 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 CVE-2023-44487
SNYK-UBUNTU2004-NGHTTP2-5954795
  829  
medium severity Improper Validation of Integrity Check Value
SNYK-UBUNTU2004-LIBSSH-6130560
  621  
high severity Access of Resource Using Incompatible Type ('Type Confusion')
SNYK-UBUNTU2004-OPENSSL-3314788
  614  
high severity Access of Resource Using Incompatible Type ('Type Confusion')
SNYK-UBUNTU2004-OPENSSL-3314788
  614  
medium severity Algorithmic Complexity
SNYK-UBUNTU2004-PYTHON38-3111779
  514  

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.
  • Snyk has automatically assigned this pull request, set who gets assigned.

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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📚 Read about Snyk's upgrade logic


Learn how to fix vulnerabilities with free interactive lessons:

🦉 Access of Resource Using Incompatible Type ('Type Confusion')

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