Merged
Conversation
cbeaba3 to
dfb2792
Compare
|
You are seeing this message because GitHub Code Scanning has recently been set up for this repository, or this pull request contains the workflow file for the Code Scanning tool. What Enabling Code Scanning Means:
For more information about GitHub Code Scanning, check out the documentation. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR adds a CodeQL advanced workflow for the pappl-retrofit repository to enable automated security analysis.
The workflow runs on each push and pull request targeting the master branch, and performs static analysis for C/C++ code using GitHub CodeQL.
It includes:
∙ CodeQL initialization and analysis setup
∙ Build steps using ./configure and make
∙ Required dependencies: libcups2-dev, libppd-dev (via apt) and PAPPL v1.4.10 (built from source, pinned to v1.x for API compatibility)
This improves code quality and helps detect potential security vulnerabilities early in the development process.