code-security-audit

To perform a security audit on Python or Node.js codebases, you need a tool that analyzes source code for OWASP Top 10 vulnerabilities and dependency exploits. This Skill automates that process using a Source→Sink dataflow model to identify business logic flaws and configuration weaknesses across multiple languages.

Attack chain analysis in vulnerability scanning identifies and visualizes how multiple distinct security vulnerabilities can be linked together. This approach evaluates the maximum potential impact of combined code flaws, providing structured reports with actionable remediation suggestions rather than isolated findings.

Yes, this security audit tool supports Go and Java projects alongside Python and Node.js. It integrates specialized dependency scanners like govulncheck and OWASP dependency-check to evaluate configuration weaknesses and dependency exploits across these specific technology stacks.

To check your project for OWASP Top 10 vulnerabilities and dependency exploits, run an automated security audit on your current project directory. The process utilizes dependency scanning tools like pip-audit, safety, npm audit, and yarn audit to detect known library vulnerabilities.

The best way to identify business logic flaws before deploying a microservice is to perform a comprehensive code security audit using a Source→Sink dataflow model. This detects complex logical vulnerabilities that traditional automated scanners often miss, providing remediation advice to ensure compliance.

Yes, you can use npm audit and pip-audit together for multi-language dependency scanning. This Skill orchestrates multiple dependency checking tools like safety, yarn audit, and govulncheck simultaneously to provide unified vulnerability reports for mixed-technology codebases.