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[Snyk] Security upgrade python from 3.10-slim to 3.13.0a3-slim #98

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@yu-iskw yu-iskw commented Mar 3, 2024

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


Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Changes included in this PR

  • Dockerfile

We recommend upgrading to python:3.13.0a3-slim, as this image has only 45 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Some of the most important vulnerabilities in your base image include:

Severity Priority Score / 1000 Issue Exploit Maturity
high severity 400 Resource Exhaustion
SNYK-DEBIAN12-EXPAT-6227597
No Known Exploit
medium severity 300 Improper Restriction of Recursive Entity References in DTDs ('XML Entity Expansion')
SNYK-DEBIAN12-EXPAT-6227603
No Known Exploit
high severity 471 Allocation of Resources Without Limits or Throttling
SNYK-DEBIAN12-SYSTEMD-6277507
No Known Exploit
high severity 471 Allocation of Resources Without Limits or Throttling
SNYK-DEBIAN12-SYSTEMD-6277507
No Known Exploit
critical severity 500 Integer Overflow or Wraparound
SNYK-DEBIAN12-ZLIB-6008963
No Known Exploit

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

🛠 Adjust project settings


Learn how to fix vulnerabilities with free interactive lessons:

🦉 Allocation of Resources Without Limits or Throttling
🦉 Resource Exhaustion

Summary by CodeRabbit

  • Chores
    • Updated the base Python image version to enhance performance and security.

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coderabbitai bot commented Mar 3, 2024

Walkthrough

The Dockerfile has been updated to use a newer Python image, specifically 3.13.0a3-slim, moving up from the previous 3.10-slim version. This change reflects an upgrade to a more recent, albeit alpha, Python version, potentially to leverage new features or improvements in performance and security that come with the newer Python release.

Changes

File Summary of Changes
Dockerfile Updated base Python image from 3.10-slim to 3.13.0a3-slim.

🐇✨
In the world of code, a tiny change gleams,
From 3.10 to 3.13, chasing Python dreams.
Through layers and lines, the Dockerfile streams,
A leap through the versions, or so it seems.
Hoppity hop, on the upgrade beams!
🚀🌟

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Review Status

Actionable comments generated: 2

Configuration used: CodeRabbit UI

Commits Files that changed from the base of the PR and between 62f4245 and c16b4eb.
Files selected for processing (1)
  • Dockerfile (1 hunks)

@@ -1,4 +1,4 @@
FROM python:3.10-slim
FROM python:3.13.0a3-slim
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The base image has been updated to python:3.13.0a3-slim. While this is a proactive step towards enhancing security, it's important to note that the version 3.13.0a3 is an alpha release. Using an alpha version in production might introduce instability or new issues, as alpha versions are typically used for testing and feedback purposes rather than production deployments.

Consider using a stable release version of Python that still addresses the security concerns but ensures greater stability for your Docker environment.

Comment on lines +1 to 4
FROM python:3.13.0a3-slim

ENV REVIEWDOG_VERSION="v0.14.1"

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📝 NOTE
This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [1-24]

Overall, the Dockerfile follows good practices such as setting a working directory, using a non-root user, specifying the shell options for safer script execution, and cleaning up the apt cache to reduce the image size. However, there are a few improvements and considerations:

  1. Non-root User: The Dockerfile does not specify a non-root user for running the container. Running containers as root increases the risk of security breaches. It's recommended to create and use a non-root user.
  2. Pinning Versions: While some versions are pinned (e.g., REVIEWDOG_VERSION and pip), not all installed packages have their versions specified. Pinning versions of all packages ensures reproducibility and reduces the risk of unexpected changes.
  3. Alpha Version Concern: As mentioned, using an alpha version of Python might not be suitable for production environments. Consider switching to a stable release.
  4. Layer Optimization: Combining the RUN instructions for installing dependencies and cleaning up in a single RUN statement can reduce the number of layers and the overall size of the image.

Consider addressing these points to enhance the Dockerfile's security, maintainability, and efficiency.

@yu-iskw yu-iskw closed this May 10, 2024
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