[Snyk] Security upgrade tensorflow/tensorflow from 2.10.0rc0 to 2.21.0rc0

[ayoinc]

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):

• play-with-docker/machinelearning/Dockerfile

We recommend upgrading to tensorflow/tensorflow:2.21.0rc0, as this image has only 63 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:

	Issue	Score
	CVE-2023-44487 SNYK-UBUNTU2004-NGHTTP2-5954795	829
	Improper Validation of Integrity Check Value SNYK-UBUNTU2004-LIBSSH-6130560	621
	Improper Validation of Array Index SNYK-UBUNTU2004-SQLITE3-2961523	621
	Out-of-bounds Write SNYK-UBUNTU2004-GNUPG2-14849558	614
	Out-of-bounds Write SNYK-UBUNTU2004-GNUPG2-14849558	614

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Important

• Check the changes in this PR to ensure they won't cause issues with your project.
• Max score is 1000. Note that the real score may have changed since the PR was raised.
• This PR was automatically created by Snyk using the credentials of a real user.

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[ayoinc]

✅ Snyk checks have passed. No issues have been found so far.

Status	Scanner	Critical	High	Medium	Low	Total (0)
✅	Open Source Security	0	0	0	0	0 issues

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