static-analysis

To parse and unify SARIF results, you need a scanner that can aggregate, deduplicate, and triage findings from multiple tools into a single output. This process supports outputs in SARIF, JSON, or CSV for multi-language repositories.

Taint tracking detects security vulnerabilities by analyzing data-flow paths from untrusted sources to sensitive sinks. Tools like CodeQL perform interprocedural taint tracking to identify deep data-flow gaps and security issues across multi-language repositories.

Yes, you can integrate both Semgrep for fast pattern-based scanning and CodeQL for deep security analysis within the same CI pipeline. Aggregating their outputs allows you to unify static analysis results for comprehensive vulnerability triage.

The best way to triage static analysis findings across a multi-language codebase is to parse outputs from CodeQL and Semgrep scans into a unified format. SARIF parsing enables you to aggregate, deduplicate, and triage vulnerabilities effectively.

Static analysis with CodeQL supports multi-language repositories by utilizing CodeQL databases to perform interprocedural taint tracking and data-flow analysis. This allows you to detect security vulnerabilities and quality issues across diverse codebases.

Semgrep focuses on fast pattern-based scanning, while CodeQL provides deep interprocedural taint tracking and data-flow analysis. Semgrep may miss complex vulnerabilities that CodeQL detects, but it offers faster CI/CD integration for immediate security scanning.