[Snyk] Security upgrade python from 3.11-slim to 3.13.0b4-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:3.13.0b4-slim, as this image has only 43 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
	Improper Verification of Cryptographic Signature SNYK-DEBIAN12-APT-1541449	150
	CVE-2024-26461 SNYK-DEBIAN12-KRB5-6277411	150
	Use After Free SNYK-DEBIAN12-SQLITE3-6155400	150
	Link Following SNYK-DEBIAN12-SYSTEMD-1560739	150

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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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Description

• Upgraded the Docker base image in docker-example/Dockerfile from python:3.11-slim to python:3.13.0b4-slim.
• This change addresses multiple security vulnerabilities reported by Snyk.

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Changes walkthrough

	Relevant files
Enhancement	Dockerfile Update Python Base Image to Fix Vulnerabilities                                docker-example/Dockerfile Updated the base image from python:3.11-slim to python:3.13.0b4-slim to fix vulnerabilities. +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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Things to consider

Based on the information provided and the PR Git Diff, here are some potential issues that could arise from the changes in the PR:

1. Beta Version Risk: The PR upgrades the Python base image to python:3.13.0b4-slim, which is a beta version (b4 indicates beta). Using a beta version in production may introduce instability or unexpected behavior since beta versions are not final and are typically used for testing new features and bug fixes.

2. Dependency Compatibility: Upgrading to a newer Python version could potentially lead to compatibility issues with existing dependencies or libraries used in the project. If any of the project's dependencies are not compatible with Python 3.13, this could result in runtime errors or unexpected behavior.

3. Environment Variables: The ARG API_URL is present in the Dockerfile, but there is no indication that it is being used within the Dockerfile or passed to the application. If the application relies on this environment variable and it is not properly set or passed through, this could lead to functional issues within the application.

It is important to thoroughly test the application with the new base image to ensure that there are no regressions or new bugs introduced by the upgrade. Additionally, checking the compatibility of all dependencies with the new Python version is crucial to avoid any unexpected issues.