[Snyk] Security upgrade tensorflow/tensorflow from 2.11.0-gpu to 2.21.0rc0-gpu

[nicholas-lockhart]

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):

• finetune/Dockerfile

We recommend upgrading to tensorflow/tensorflow:2.21.0rc0-gpu, as this image has only 128 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
	CVE-2023-44487 SNYK-UBUNTU2004-NGHTTP2-5954795	829
	CVE-2025-27363 SNYK-UBUNTU2004-FREETYPE-9402627	729
	CVE-2025-27363 SNYK-UBUNTU2004-FREETYPE-9402627	729
	CVE-2025-27363 SNYK-UBUNTU2004-FREETYPE-9402627	729
	Improper Validation of Integrity Check Value SNYK-UBUNTU2004-LIBSSH-6130560	621

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Important

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• 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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Note

Medium Risk
Base image upgrade can introduce TensorFlow/CUDA/OS-level compatibility changes that may affect training/inference behavior or build/runtime stability.

Overview
Updates the finetune Docker base image from tensorflow/tensorflow:2.11.0-gpu to tensorflow/tensorflow:2.21.0rc0-gpu to pick up security fixes in the underlying TensorFlow/OS stack.

^{Written by Cursor Bugbot for commit 7560f7f. This will update automatically on new commits. Configure here.}

[cursor]

Cursor Bugbot has reviewed your changes and found 2 potential issues.

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[cursor]

tensorflow-addons incompatible with TensorFlow 2.21

High Severity

Upgrading the base image to TensorFlow 2.21.0rc0 breaks the pip3 install -U tensorflow-addons step on line 10. tensorflow-addons reached end-of-life in May 2024, with its last release (0.23.0) only supporting up to approximately TensorFlow 2.15. This will cause a Docker build failure or runtime incompatibility since there is no tensorflow-addons version compatible with TF 2.21.

Additional Locations (1)

• finetune/Dockerfile#L9-L10

 

[cursor]

Using release candidate image in production Dockerfile

Medium Severity

The base image tensorflow/tensorflow:2.21.0rc0-gpu is a release candidate, not a stable release. RC versions may contain unresolved bugs, undergo API changes before the final release, and are not intended for production use. This could lead to unexpected behavior or require another image upgrade soon after.