vulnerability-scanner

To scan source code and dependencies for security vulnerabilities automatically, run the provided security scan script on your project directory to identify exposed secrets, unsafe patterns, and insecure settings.

A dependency audit and secret scan checks software projects for known vulnerabilities in external libraries, exposed secrets, unsafe code patterns, and insecure configuration settings to prevent potential cyber threats.

Yes, you can run static analysis and configuration checks on your codebase before deployment. DevOps teams use this in deployment pipelines to ensure code and dependencies adhere to security best practices before release.

Yes, this vulnerability scanner works with Python scripts and utilizes subprocess, json, os, re, and argparse modules to perform comprehensive security assessments, static analysis, and external dependency checks.

The best way to identify misconfigurations and exposed secrets in a codebase is to perform automated security analysis combining pattern detection, configuration checks, and dependency audits for actionable risk remediation insights.

Automated code analysis for detecting attack vectors is limited to identifying static patterns, dependency vulnerabilities, and insecure configurations, meaning it may not catch complex runtime vulnerabilities or zero-day exploits.