security-review

Run an automated security review on your repository to analyze data flows and identify vulnerabilities like injections, secret exposure, and insecure dependencies. The scanner generates prioritized findings with severity ratings and concrete patch suggestions.

You can run a security review on both single files and full repositories. The scanner applies cross-file reasoning and data-flow analysis to trace vulnerabilities across your entire project scope.

Static analysis for security review supports JavaScript, Python, Java, Go, Ruby, and Rust projects. It traces data flow across these languages to reveal injection, authentication, and data leakage weaknesses.

Data-flow analysis traces how data moves across files to reveal injection, authentication, and data leakage weaknesses. This approach reasons about your codebase like a human security researcher, identifying vulnerabilities that simple pattern-matching tools miss.

The best way to remediate insecure dependencies and secret exposure is to run a security review that audits your project for known CVEs. It generates prioritized findings with concrete remediation recommendations and targeted patch suggestions.

Yes, running a security review generates prioritized findings that include severity ratings and targeted remediation proposals. This allows you to address the most critical injection and data leakage vulnerabilities first.