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[Snyk] Security upgrade python from 3.14.0rc2-slim-trixie to 3.14.0rc2-alpine3.22 #9
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[Snyk] Security upgrade python from 3.14.0rc2-slim-trixie to 3.14.0rc2-alpine3.22 #9
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The following vulnerabilities are fixed with an upgrade: - https://snyk.io/vuln/SNYK-DEBIAN13-PCRE2-12206155 - https://snyk.io/vuln/SNYK-DEBIAN13-GLIBC-5681215 - https://snyk.io/vuln/SNYK-DEBIAN13-GLIBC-5681241 - https://snyk.io/vuln/SNYK-DEBIAN13-GLIBC-5681256 - https://snyk.io/vuln/SNYK-DEBIAN13-NCURSES-10378958
🎉 Snyk checks have passed. No issues have been found so far.✅ security/snyk check is complete. No issues have been found. (View Details) |
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Summary of Changes
Hello @hashim21223445, 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 improve the security posture of the application by updating its Docker base image. The change specifically targets the Python runtime environment, moving to a more secure version that has zero known vulnerabilities, thereby mitigating several identified risks without altering the application's core functionality.
Highlights
- Security Vulnerability Fixes: This pull request addresses 5 identified security vulnerabilities in the project's Dockerfile dependencies by upgrading the Python base image.
- Dockerfile Base Image Update: The Dockerfile has been updated to use python:3.14.0rc2-alpine3.22 as the base image, replacing python:3.14.0rc2-slim-trixie.
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Code Review
This pull request, automatically generated by Snyk, aims to improve security by upgrading the base Docker image. However, the proposed change from a Debian-based image (slim-trixie) to an Alpine-based one (alpine) will likely break the application build. This is a common issue when switching to Alpine Linux, as many Python packages with C extensions (like TensorFlow, NumPy, and SciPy, which are used in this project) lack pre-compiled wheels for Alpine's musl libc and require system-level build dependencies that are not included in the Dockerfile. I've provided a critical review comment suggesting an alternative, more compatible Debian-based image that also resolves the security vulnerabilities and uses a stable Python version.
| @@ -1,4 +1,4 @@ | |||
| FROM python:3.14.0rc2-slim-trixie | |||
| FROM python:3.14.0rc2-alpine3.22 | |||
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Switching from a Debian-based (slim-trixie) to an Alpine-based image is a significant change that will likely break the build. Alpine Linux uses musl libc, while Debian uses glibc. Many Python packages with native C extensions, such as tensorflow, numpy, and scipy used in this project, do not have pre-compiled wheels for musl and would need to be built from source. This requires installing numerous build dependencies (like build-base, gfortran, etc.) which are not present in this Dockerfile.
A safer alternative that also resolves the security vulnerabilities is to use a newer, stable Debian-based image. For example, python:3.12-slim-bookworm is based on Debian 12, is compatible with your project's python>=3.8 requirement, and has no known vulnerabilities.
FROM python:3.12-slim-bookworm
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):
DockerfileWe recommend upgrading to
python:3.14.0rc2-alpine3.22, 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:
SNYK-DEBIAN13-PCRE2-12206155
SNYK-DEBIAN13-GLIBC-5681215
SNYK-DEBIAN13-GLIBC-5681241
SNYK-DEBIAN13-GLIBC-5681256
SNYK-DEBIAN13-NCURSES-10378958
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