[Snyk] Security upgrade python from 3.11-slim to 3.13.0rc2-slim

[Amartyajha]

User description

Snyk has created this PR to fix 5 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):

• docker-example/Dockerfile

We recommend upgrading to python:3.13.0rc2-slim, as this image has only 40 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-DEBIAN12-ZLIB-6008963	500
	Information Exposure SNYK-DEBIAN12-GLIBC-1546991	150
	Improper Validation of Integrity Check Value SNYK-DEBIAN12-SYSTEMD-5733385	150
	Improper Validation of Integrity Check Value SNYK-DEBIAN12-SYSTEMD-5733390	150
	Improper Validation of Integrity Check Value SNYK-DEBIAN12-SYSTEMD-5733398	150

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• 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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Description

• Upgraded the Docker base image in docker-example/Dockerfile to python:3.13.0rc2-slim to fix multiple vulnerabilities.
• This update addresses critical and low severity vulnerabilities as reported by Snyk.

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Changes walkthrough

	Relevant files
Enhancement	Dockerfile Update Python Base Image to 3.13.0rc2-slim                                          docker-example/Dockerfile Updated the base image from python:3.11-slim to python:3.13.0rc2-slim. +1/-1

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🔍 Infra Scan Results:

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Failed Dockerfile Checks Check Name File Path Lines Ensure that HEALTHCHECK instructions have been added to container images docker-example/Dockerfile 1-39

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PR Code Suggestions ✨

Category	Suggestion	Score
Best practice	Pin the Python image to a stable release Consider pinning the Python image to a stable release instead of a release candidate. Release candidates might have unresolved issues and are not recommended for production use. If you need features from the newer version, ensure thorough testing or wait for the stable release. docker-example/Dockerfile [31] -FROM python:3.13.0rc2-slim +FROM python:3.11-slim Suggestion importance[1-10]: 7 Why: Using a stable release of Python in Docker is a best practice to avoid potential issues with release candidates. However, the suggestion incorrectly suggests reverting to an older version instead of using a stable version newer than 3.11.	7