trailmark

A source code graph maps functions, classes, and calls to map attack surfaces and trace data flow across polyglot projects. It enables pre-analysis passes for blast radius, taint propagation, and privilege boundaries during security audits.

Yes, source code graph construction supports security auditing in polyglot projects by parsing multi-language code into a unified graph. This allows you to understand call paths, entry points, and attack surfaces across different languages.

You need Python and specific parsing and querying libraries to build and query source code graphs for vulnerability analysis. These dependencies are required to construct the graph and execute security pre-analysis passes.

Code graph analysis identifies entry points and privilege boundaries by running pre-analysis passes on the constructed source code graph. This captures metadata and call paths to expose the security boundaries within the codebase.

The main limitation is the strict requirement for Python and specific parsing libraries to construct and query the graph. Security reviews depend entirely on the accuracy of this initial code parsing and graph building phase.