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[Snyk] Security upgrade python from 3.11-slim to 3.13.5-slim #9

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@KB01111 KB01111 commented Jun 18, 2025

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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):

  • agent/Dockerfile

We recommend upgrading to python:3.13.5-slim, as this image has only 36 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
medium severity Race Condition
SNYK-DEBIAN12-SYSTEMD-10264074
medium severity Race Condition
SNYK-DEBIAN12-SYSTEMD-10264074
critical severity Integer Overflow or Wraparound
SNYK-DEBIAN12-ZLIB-6008963
low severity Stack-based Buffer Overflow
SNYK-DEBIAN12-COREUTILS-10259258
low severity CVE-2025-40909
SNYK-DEBIAN12-PERL-10244568

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Summary by Sourcery

Enhancements:

  • Upgrade Python base image in the agent Dockerfile to 3.13.5-slim to address known vulnerabilities

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sourcery-ai bot commented Jun 18, 2025

Reviewer's Guide

This PR updates the Docker base image in the agent Dockerfile from Python 3.11-slim to 3.13.5-slim to incorporate security fixes and reduce known vulnerabilities.

File-Level Changes

Change Details Files
Upgrade Docker base image to Python 3.13.5-slim
  • Changed the FROM directive from python:3.11-slim to python:3.13.5-slim
agent/Dockerfile

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Summary of Changes

Hello @KB01111, 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 aims to enhance the security posture of the project by updating the Python base image used in the agent/Dockerfile. The primary goal is to remediate several known vulnerabilities by moving to a more recent and secure Python version, ensuring the application benefits from the latest security patches in its Docker environment.

Highlights

  • Security Upgrade: Upgraded the Docker base image for the agent service from python:3.11-slim to python:3.13.5-slim.
  • Vulnerability Remediation: This upgrade addresses four identified security vulnerabilities, including a critical Integer Overflow or Wraparound, two medium-severity Race Conditions, and two low-severity issues (Stack-based Buffer Overflow and CVE-2025-40909).
  • Automated Generation: This pull request was automatically generated by Snyk to propose the necessary security upgrade.
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Code Review

This pull request, automatically generated by Snyk, upgrades the Python base image in the agent/Dockerfile from 3.11-slim to 3.13.5-slim. This change aims to address 4 known vulnerabilities, including one critical. The new Python version (3.13.5) is compatible with the project's declared Python version constraint (>=3.10,<3.14) in pyproject.toml.

One suggestion has been made to enhance the Dockerfile's reproducibility and security by pinning the base image to its SHA256 digest. This is a common best practice for Dockerfiles.

As Snyk advises, thorough testing of the application is recommended after merging this upgrade to ensure continued functionality.

@@ -1,4 +1,4 @@
FROM python:3.11-slim AS base
FROM python:3.13.5-slim AS base

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medium

For improved reproducibility and to protect against potential tag mutability (where the python:3.13.5-slim tag might be updated to point to a different image layer in the future), consider pinning the base image to its specific SHA256 digest. This aligns with general Docker best practices for ensuring reproducibility and mitigating risks associated with mutable tags, especially for production or agent images.

You can typically find the digest by running:

  1. docker pull python:3.13.5-slim
  2. docker inspect python:3.13.5-slim --format='{{index .RepoDigests 0}}' or docker images --digests python | grep 3.13.5-slim

Then update the FROM line to use the digest, for example:

FROM python:3.13.5-slim@sha256:actual_digest_value_here AS base

This ensures you are always using the exact same base image layer that Snyk has recommended and you've tested against.

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