Skip to content

[Snyk] Security upgrade python from 3.14.0rc1-alpine to 3.14.0-alpine#6

Open
NeoRosis wants to merge 1 commit intomasterfrom
snyk-fix-de5a7289eb2b6da61727e5dcb48c1193
Open

[Snyk] Security upgrade python from 3.14.0rc1-alpine to 3.14.0-alpine#6
NeoRosis wants to merge 1 commit intomasterfrom
snyk-fix-de5a7289eb2b6da61727e5dcb48c1193

Conversation

@NeoRosis
Copy link
Owner

snyk-top-banner

Snyk has created this PR to fix 3 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):

  • Dockerfile

We recommend upgrading to python:3.14.0-alpine, as this image has only 0 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
low severity CVE-2025-9232
SNYK-ALPINE322-OPENSSL-13174131
  436  
low severity CVE-2025-9232
SNYK-ALPINE322-OPENSSL-13174131
  436  
low severity CVE-2025-9230
SNYK-ALPINE322-OPENSSL-13174132
  436  
low severity CVE-2025-9230
SNYK-ALPINE322-OPENSSL-13174132
  436  
low severity CVE-2025-9231
SNYK-ALPINE322-OPENSSL-13174133
  436  

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:

🦉 Learn about vulnerability in an interactive lesson of Snyk Learn.

@vercel
Copy link

vercel bot commented Oct 11, 2025

The latest updates on your projects. Learn more about Vercel for GitHub.

Project Deployment Preview Comments Updated (UTC)
v0-next-js-shadcn-ui-vmkz8zppber Error Error Oct 11, 2025 5:41am

@amazon-q-developer
Copy link

Code review in progress. Analyzing for code quality issues and best practices. Detailed findings will be posted upon completion.

Using Amazon Q Developer for GitHub

Amazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation.

Slash Commands

Command Description
/q <message> Chat with the agent to ask questions or request revisions
/q review Requests an Amazon Q powered code review
/q help Displays usage information

Features

Agentic Chat
Enables interactive conversation with Amazon Q to ask questions about the pull request or request specific revisions. Use /q <message> in comment threads or the review body to engage with the agent directly.

Code Review
Analyzes pull requests for code quality, potential issues, and security concerns. Provides feedback and suggested fixes. Automatically triggered on new or reopened PRs (can be disabled for AWS registered installations), or manually with /q review slash command in a comment.

Customization

You can create project-specific rules for Amazon Q Developer to follow:

  1. Create a .amazonq/rules folder in your project root.
  2. Add Markdown files in this folder to define rules (e.g., cdk-rules.md).
  3. Write detailed prompts in these files, such as coding standards or best practices.
  4. Amazon Q Developer will automatically use these rules when generating code or providing assistance.

Example rule:

All Amazon S3 buckets must have encryption enabled, enforce SSL, and block public access.
All Amazon DynamoDB Streams tables must have encryption enabled.
All Amazon SNS topics must have encryption enabled and enforce SSL.
All Amazon SNS queues must enforce SSL.

Feedback

To provide feedback on Amazon Q Developer, create an issue in the Amazon Q Developer public repository.

For more detailed information, visit the Amazon Q for GitHub documentation.

Footnotes

  1. Amazon Q Developer uses generative AI. You may need to verify generated code before using it in your environment. See the AWS Responsible AI Policy.

@gemini-code-assist
Copy link

Summary of Changes

Hello @NeoRosis, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the security posture of the application by updating its Docker base image. The change specifically targets the Python environment, moving from a release candidate version to the stable release, which resolves several identified low-severity vulnerabilities. This ensures the application benefits from the latest security fixes and runs on a more robust foundation.

Highlights

  • Security Upgrade: The Python base image in the Dockerfile has been upgraded from 3.14.0rc1-alpine to 3.14.0-alpine.
  • Vulnerability Fixes: This upgrade addresses 3 low-severity vulnerabilities related to OpenSSL (CVE-2025-9232, CVE-2025-9230, CVE-2025-9231) in the Dockerfile dependencies.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

Copy link

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request from Snyk correctly updates the base Docker image from a Python release candidate to a stable version, which resolves several security vulnerabilities. This is a beneficial change. I have added one suggestion to further improve the build's security and reproducibility by pinning the base image to its immutable SHA256 digest. After considering this feedback, the change is recommended for merging.

@@ -1,4 +1,4 @@
FROM python:3.14.0rc1-alpine
FROM python:3.14.0-alpine

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

medium

While upgrading to the stable 3.14.0-alpine tag is a good security improvement, for better build reproducibility and to guard against tag mutability, it's a best practice to pin the base image to its immutable digest (a SHA256 hash).

This guarantees that you are always using the exact same base image for your builds, preventing unexpected changes or vulnerabilities that could be introduced if the tag is updated upstream.

You can find the digest for the image by running:

  1. docker pull python:3.14.0-alpine
  2. docker images --digests python

The FROM line would then be updated to include the digest, like so:

FROM python:3.14.0-alpine@sha256:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Copy link

@amazon-q-developer amazon-q-developer bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Security Upgrade Review Summary

This PR successfully addresses important security vulnerabilities by upgrading from Python 3.14.0rc1-alpine to 3.14.0-alpine. The change is straightforward and beneficial for the following reasons:

✅ Positive Aspects:

  • Fixes 3 OpenSSL vulnerabilities (CVE-2025-9230, CVE-2025-9231, CVE-2025-9232)
  • Moves from release candidate to stable production-ready version
  • Minimal change with low risk of breaking functionality
  • Automated security scanning and remediation by Snyk

🔍 Recommendations:

  • Test the application thoroughly with the new base image before deploying to production
  • Consider implementing more specific version pinning (digest-based) for enhanced security and reproducibility
  • Verify all dependencies work correctly with Python 3.14.0 stable

Overall Assessment: This is a well-justified security upgrade that should be merged after proper testing. The change reduces the attack surface and ensures you're running on a stable, production-ready Python version.

@@ -1,4 +1,4 @@
FROM python:3.14.0rc1-alpine
FROM python:3.14.0-alpine

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Security Enhancement: This upgrade from Python 3.14.0rc1-alpine to 3.14.0-alpine is a positive security improvement. Moving from a release candidate to the stable release ensures you're using a production-ready version with the latest security patches. The change addresses multiple OpenSSL vulnerabilities (CVE-2025-9230, CVE-2025-9231, CVE-2025-9232) that were present in the Alpine base image of the release candidate version.

@@ -1,4 +1,4 @@
FROM python:3.14.0rc1-alpine
FROM python:3.14.0-alpine

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

💡 Best Practice Recommendation: Consider pinning to a more specific version tag for better reproducibility and security. Instead of using 3.14.0-alpine, consider using the full digest or a more specific tag like 3.14.0-alpine3.20 to ensure consistent builds across environments and prevent potential supply chain attacks. This helps prevent potential supply chain attacks and ensures consistent builds across different environments and time periods.

@@ -1,4 +1,4 @@
FROM python:3.14.0rc1-alpine
FROM python:3.14.0-alpine

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

🔍 Testing Recommendation: Before merging, verify that Python 3.14.0 stable is fully compatible with your application dependencies. Since this upgrades from a release candidate to stable, there might be subtle behavioral differences. Run your test suite against this new base image to ensure compatibility, especially with packages that have native extensions.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants