[Snyk] Security upgrade tensorflow/tensorflow from 2.13.0rc0-gpu-jupyter to 2.18.0rc1-gpu-jupyter #25
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The following vulnerabilities are fixed with an upgrade: - https://snyk.io/vuln/SNYK-UBUNTU2004-NGHTTP2-5954795 - https://snyk.io/vuln/SNYK-UBUNTU2004-LIBSSH-6130560 - https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-3314788 - https://snyk.io/vuln/SNYK-UBUNTU2004-OPENSSL-3314788 - https://snyk.io/vuln/SNYK-UBUNTU2004-PYTHON38-7922960
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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):
DockerfileWe recommend upgrading to
tensorflow/tensorflow:2.18.0rc1-gpu-jupyter, as this image has only 84 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:
SNYK-UBUNTU2004-NGHTTP2-5954795
SNYK-UBUNTU2004-LIBSSH-6130560
SNYK-UBUNTU2004-OPENSSL-3314788
SNYK-UBUNTU2004-OPENSSL-3314788
SNYK-UBUNTU2004-PYTHON38-7922960
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Learn how to fix vulnerabilities with free interactive lessons:
🦉 Access of Resource Using Incompatible Type ('Type Confusion')
🦉 Inefficient Regular Expression Complexity
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