static-application-security-testing

Static analysis scans your multi-language codebase using tools like Semgrep, CodeQL, and Bandit to detect vulnerabilities. You only need to provide the repository path, and the Skill automatically detects languages, selects tools, and runs scans to identify issues like SQL injection and hardcoded secrets.

Automated SAST scans detect code vulnerabilities including SQL injection, hardcoded secrets, and insecure deserialization. By running multi-tool scans with Semgrep, CodeQL, and Bandit, the analysis identifies these security flaws and merges findings to provide prioritized results with fix suggestions.

Yes, static security scanning integrates directly into CI pipelines for continuous security. The Skill generates detailed SARIF and JSON reports from the merged scan findings, allowing automated code vulnerability detection to run seamlessly during your continuous integration workflows.

Static application security testing supports multi-language codebases by automatically detecting programming languages and frameworks. This detection selects appropriate SAST tools, such as Bandit for Python or ESLint for JavaScript, ensuring comprehensive vulnerability scanning across all languages in your repository.

The best way to triage code vulnerabilities from multiple SAST tools is to merge findings from Semgrep, CodeQL, and Bandit, then deduplicate and prioritize the results. This automated triage provides fix suggestions, reducing manual security review time and highlighting critical flaws.

You should not rely on static analysis alone for runtime vulnerabilities or complex logic flaws, as it scans source code without executing it. However, it remains essential for uncovering issues like hardcoded secrets and SQL injection before code deployment, complementing manual reviews.