[Snyk] Security upgrade tensorflow/tensorflow from 2.10.0rc0 to 2.20.0

[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:2.20.0, as this image has only 38 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
	Integer Overflow or Wraparound SNYK-UBUNTU2004-LIBKSBA-3050813	614
	Access of Resource Using Incompatible Type ('Type Confusion') SNYK-UBUNTU2004-OPENSSL-3314788	614
	Access of Resource Using Incompatible Type ('Type Confusion') SNYK-UBUNTU2004-OPENSSL-3314788	614
	Memory Leak SNYK-UBUNTU2004-BINUTILS-5853888	514
	Out-of-bounds Write SNYK-UBUNTU2004-BINUTILS-5853950	514

---

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.

---

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:
🧐 View latest project report
📜 Customise PR templates
🛠 Adjust project settings
📚 Read about Snyk's upgrade logic

---

Learn how to fix vulnerabilities with free interactive lessons:

🦉 Access of Resource Using Incompatible Type ('Type Confusion')
🦉 Memory Leak

[ayoinc]

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

✅ security/snyk check is complete. No issues have been found. (View Details)

[Copilot]

Pull Request Overview

This PR upgrades the TensorFlow Docker base image from version 2.10.0rc0 to 2.20.0 to address security vulnerabilities. The upgrade fixes 4 vulnerabilities including high-severity issues related to integer overflow, type confusion, and medium-severity memory leak and out-of-bounds write vulnerabilities.

• Upgrades TensorFlow base image from a release candidate to a stable version
• Addresses multiple security vulnerabilities in underlying system packages
• Reduces total known vulnerabilities from an unspecified number to 38

---

_{Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.}

[Copilot]

The package 'python-opencv' may not be available or may have been renamed in the newer TensorFlow 2.20.0 base image. Consider using 'python3-opencv' or installing OpenCV via pip instead.

Suggested change

	RUN apt-get install python-opencv -y
	RUN apt-get install python3-opencv -y