[Snyk] Security upgrade tensorflow/tensorflow from latest-gpu-jupyter to 2.13.0rc1-gpu-jupyter #12
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The following vulnerabilities are fixed with an upgrade: - https://snyk.io/vuln/SNYK-UBUNTU2004-GIT-5488519 - https://snyk.io/vuln/SNYK-UBUNTU2004-GIT-5488603 - https://snyk.io/vuln/SNYK-UBUNTU2004-GIT-5488631 - https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-3314788 - https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-5661533
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This PR was automatically created by Snyk using the credentials of a real user.
Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.
Changes included in this PR
We recommend upgrading to
tensorflow/tensorflow:2.13.0rc1-gpu-jupyter, as this image has only 48 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.Some of the most important vulnerabilities in your base image include:
SNYK-UBUNTU2004-GIT-5488519
SNYK-UBUNTU2004-GIT-5488603
SNYK-UBUNTU2004-GIT-5488631
SNYK-UBUNTU2004-OPENSSL-3314788
SNYK-UBUNTU2004-OPENSSL-5661533
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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🦉 Use of Externally-Controlled Format String
🦉 Directory Traversal