[Snyk] Security upgrade tensorflow/tensorflow from 2.13.0rc2-gpu to 2.18.0rc1-gpu #194
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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-PYTHON38-7577338 - https://snyk.io/vuln/SNYK-UBUNTU2004-PYTHON38-7577338 - https://snyk.io/vuln/SNYK-UBUNTU2004-PYTHON38-7577338
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Scan Summary
| Tool | Critical | High | Medium | Low | Status |
|---|---|---|---|---|---|
| Dependency Scan (universal) | 18 | 178 | 136 | 2 | ❌ |
| Secrets Audit | 0 | 3 | 0 | 0 | ❌ |
| Security Audit for Infrastructure | 3 | 26 | 2 | 12 | ❌ |
| Python Security Analysis | 0 | 0 | 4 | 2 | ✅ |
| Python Source Analyzer | 0 | 0 | 0 | 0 | ✅ |
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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):
argo/Dockerfile-gpuWe recommend upgrading to
tensorflow/tensorflow:2.18.0rc1-gpu, as this image has only 80 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-PYTHON38-7577338
SNYK-UBUNTU2004-PYTHON38-7577338
SNYK-UBUNTU2004-PYTHON38-7577338
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