finetune
finetune copied to clipboard
[Snyk] Security upgrade tensorflow/tensorflow from 2.15.0-gpu to 2.18.0rc2-gpu
Snyk has created this PR to fix 5 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):
-
docker/Dockerfile.gpu
We recommend upgrading to tensorflow/tensorflow:2.18.0rc2-gpu
, as this image has only 81 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-UBUNTU2204-NGHTTP2-5954819 |
829 |
![]() |
Improper Validation of Integrity Check Value SNYK-UBUNTU2204-LIBSSH-6130572 |
621 |
![]() |
Out-of-bounds Write SNYK-UBUNTU2204-BASH-3098342 |
514 |
![]() |
Memory Leak SNYK-UBUNTU2204-BINUTILS-5853807 |
514 |
![]() |
Memory Leak SNYK-UBUNTU2204-BINUTILS-5853891 |
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.
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
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic
Learn how to fix vulnerabilities with free interactive lessons: