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[Snyk] Security upgrade tensorflow from 2.0.0b1 to 2.4.0 #6
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The following vulnerabilities are fixed by pinning transitive dependencies: - https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1050378 - https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1050379 - https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1050385
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Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.
Changes included in this PR
Vulnerabilities that will be fixed
By pinning:
Why? Recently disclosed, Has a fix available, CVSS 8.2
SNYK-PYTHON-TENSORFLOW-1050378
tensorflow:2.0.0b1 -> 2.4.0Why? Recently disclosed, Has a fix available, CVSS 3.7
SNYK-PYTHON-TENSORFLOW-1050379
tensorflow:2.0.0b1 -> 2.4.0Why? Recently disclosed, Has a fix available, CVSS 4.8
SNYK-PYTHON-TENSORFLOW-1050385
tensorflow:2.0.0b1 -> 2.4.0(*) Note that the real score may have changed since the PR was raised.
Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.
Check the changes in this PR to ensure they won't cause issues with your project.
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:
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📚 Read more about Snyk's upgrade and patch logic