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[Snyk] Security upgrade tensorflow/tensorflow from latest to 2.17.0rc1 #379
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The following vulnerabilities are fixed with an upgrade: - https://snyk.io/vuln/SNYK-UBUNTU2204-OPENSSL-5538123 - https://snyk.io/vuln/SNYK-UBUNTU2204-PYTHON311-3098760 - https://snyk.io/vuln/SNYK-UBUNTU2204-PYTHON311-3098760 - https://snyk.io/vuln/SNYK-UBUNTU2204-PYTHON311-3098760 - https://snyk.io/vuln/SNYK-UBUNTU2204-PYTHON311-3098760
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Micro-Learning Topic: Resource exhaustion (Detected by phrase)Matched on "Resource Exhaustion"Allocating objects or timers with user-controlled sizes or durations can cause resource exhaustion. Try a challenge in Secure Code Warrior |
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We have skipped reviewing this pull request. It seems to have been created by a bot ('[Snyk]' found in title). We assume it knows what it's doing!
Quality Gate passedIssues Measures |
This PR was automatically created by Snyk using the credentials of a real user.
![snyk-top-banner](https://github.com/andygongea/OWASP-Benchmark/assets/818805/c518c423-16fe-447e-b67f-ad5a49b5d123)
Snyk has created this PR to fix 2 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):
Dockerfile.cpu
We recommend upgrading to
tensorflow/tensorflow:2.17.0rc1
, as this image has only 48 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-UBUNTU2204-OPENSSL-5538123
SNYK-UBUNTU2204-PYTHON311-3098760
SNYK-UBUNTU2204-PYTHON311-3098760
SNYK-UBUNTU2204-PYTHON311-3098760
SNYK-UBUNTU2204-PYTHON311-3098760
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