[Snyk] Security upgrade python from 3.11-slim to 3.13.0b3-slim

[Amartyajha]

User description

This PR was automatically created by Snyk using the credentials of a real user.


Snyk has created this PR to fix 2 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:3.13.0b3-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
	Information Exposure SNYK-DEBIAN12-UTILLINUX-2401083	150
	Information Exposure SNYK-DEBIAN12-UTILLINUX-2401083	150
	Information Exposure SNYK-DEBIAN12-UTILLINUX-2401083	150
	Information Exposure SNYK-DEBIAN12-UTILLINUX-2401083	150

---

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:

🦉 Information Exposure

---

Description

• Upgraded the Docker base image in docker-example/Dockerfile from python:3.11-slim to python:3.13.0b3-slim.
• This change is intended to address multiple vulnerabilities as reported by Snyk.

---

Changes walkthrough

	Relevant files
Enhancement	Dockerfile Update Python Base Image to Reduce Vulnerabilities                          docker-example/Dockerfile Updated the base image from python:3.11-slim to python:3.13.0b3-slim to reduce vulnerabilities. +1/-1

---

🔍 Infra Scan Results:

---

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

💡 Usage Guide

Checking Your Pull Request

Every time you make a pull request, our system automatically looks through it. We check for security issues, mistakes in how you're setting up your infrastructure, and common code problems. We do this to make sure your changes are solid and won't cause any trouble later.

Talking to CodeAnt AI

Got a question or need a hand with something in your pull request? You can easily get in touch with CodeAnt AI right here. Just type the following in a comment on your pull request, and replace "Your question here" with whatever you want to ask:

@codeant-ai ask: Your question here

This lets you have a chat with CodeAnt AI about your pull request, making it easier to understand and improve your code.

Check Your Repository Health

To analyze the health of your code repository, visit our dashboard at app.codeant.ai. This tool helps you identify potential issues and areas for improvement in your codebase, ensuring your repository maintains high standards of code health.

[coderabbitai]

Important

Review skipped

Ignore keyword(s) in the title.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

• X
• Mastodon
• Reddit
• LinkedIn

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai generate interesting stats about this repository and render them as a table.
  • @coderabbitai show all the console.log statements in this repository.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[codeant-ai]

Things to consider

The PR involves an update to the Docker base image from python:3.11-slim to python:3.13.0b3-slim. Here are potential issues to consider:

1. Probable Functional Bugs:

   • Compatibility Issues: The new Python version (3.13.0b3) is a beta release. Using a beta version in production may introduce compatibility issues with existing code or libraries that have not yet been updated or tested against this Python version. It's important to thoroughly test the application to ensure that all functionalities work as expected with the new Python version.

2. Regression Bugs:

   • Dependency Issues: If the application or any of its dependencies have specific version requirements tied to Python 3.11, upgrading to Python 3.13.0b3 might break those dependencies. This could lead to regression bugs where features that were previously working are now broken.

3. Missed Edge Cases:

   • Environment Variables: The ARG API_URL is declared, but there is no indication that it is being used within the Dockerfile. If the API_URL is meant to be used by the application, the Dockerfile might need to ensure that it is correctly passed to the application environment. This isn't necessarily a bug introduced by this PR, but it's an edge case that should be verified to ensure the application functions correctly.

It's important to note that these are potential issues and would require actual testing and validation to confirm if they are indeed problematic. Additionally, the PR is focused on addressing security vulnerabilities, so the benefits of updating might outweigh the risks if proper testing is conducted.