[Snyk] Security upgrade python from 3.12.0a5-slim to 3.13.0b2-slim

[dinh]

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


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):

• frontend/Dockerfile

We recommend upgrading to python:3.13.0b2-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
	Out-of-bounds Write SNYK-DEBIAN11-GLIBC-5927133	829
	Out-of-bounds Write SNYK-DEBIAN11-GLIBC-5927133	829
	Out-of-bounds Read SNYK-DEBIAN11-NCURSES-2767191	614
	Out-of-bounds Read SNYK-DEBIAN11-NCURSES-2767191	614
	Out-of-bounds Write SNYK-DEBIAN11-NCURSES-5421197	614

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• 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.

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[sourcery-ai]

We have skipped reviewing this pull request. Here's why:

• It seems to have been created by a bot ('[Snyk]' found in title). We assume it knows what it's doing!
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[what-the-diff]

PR Summary

• Base Image Update for Frontend Component
  This change refers to an update we've made in the component of our software that interfaces with users, specifically relating to the underlying technology stack. We've updated to a newer, slimmer version (python:3.13.0b2-slim) that promises to better optimize our platform's performance. This should make our software more responsive and efficient for our users.

[guardrails]

⚠️ We detected 1 security issue in this pull request:

Insecure Access Control (1)

Severity	Details	Docs
High	Title: Missing User Instruction sklearn_fastapi_docker/frontend/Dockerfile Line 2 in 1a488f6 FROM python:3.13.0b2-slim	📚

More info on how to fix Insecure Access Control in Dockerfile.

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