[Snyk] Security upgrade alpine from 3.12.0 to 3.23.3

[ayusuf-mq]

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):

• samples/client/petstore/bash/Dockerfile

We recommend upgrading to alpine:3.23.3, 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
	Loop with Unreachable Exit Condition ('Infinite Loop') SNYK-ALPINE312-OPENSSL-2426332	721
	Loop with Unreachable Exit Condition ('Infinite Loop') SNYK-ALPINE312-OPENSSL-2426332	721
	Out-of-bounds Read SNYK-ALPINE312-APKTOOLS-1533753	714
	Buffer Overflow SNYK-ALPINE312-OPENSSL-1569452	714
	Buffer Overflow SNYK-ALPINE312-OPENSSL-1569452	714

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🦉 Out-of-bounds Read

[ayusuf-mq]

This is a major operating system upgrade across more than 10 stable releases, from a version that has been unsupported since 2022. It carries a very high risk of breaking changes due to fundamental updates to the base system, core libraries, and language runtimes.

Highlights:

• System & Package Changes: The package manager (apk) is upgraded to v3, which may break tools using libapk. Additionally, many packages like sudo have been replaced (with doas), and older versions of libraries like ffmpeg4 and postgresql15 have been removed.
• Runtime Version Jumps: The base image includes major version bumps for most language runtimes, such as Node.js (to 24.11), Go (to 1.25), and PostgreSQL (to 18), which will likely require code and dependency updates.

Source: Alpine Linux release notes
Recommendation: Do not attempt an in-place upgrade. Rebuild the container image from a new alpine:3.23 base and thoroughly test all application functionality, build scripts, and runtime behavior.

Notice 🤖: This content was augmented using artificial intelligence. AI-generated content may contain errors and should be reviewed for accuracy before use.