source-code-scanning

To automate source code security scanning, you can run this skill on your repository to detect hardcoded secrets, insecure patterns, and vulnerabilities using static analysis and dependency checks across multiple languages like Python, JS, Java, and Go.

Yes, static analysis supports multi-language scanning for Python, JS, Java, Go, PHP, Ruby, and more. It uses specific tools like bandit, gosec, and spotbugs to identify security vulnerabilities and insecure patterns across these codebases.

Yes, you can use dependency scanning to check for known CVEs in package lockfiles and manifests. The skill utilizes tools like pip-audit, npm audit, and govulncheck to identify vulnerable third-party dependencies during the analysis process.

The best way to detect hardcoded credentials is by using secrets detection tools like detect-secrets and gitleaks. This skill automates this process to identify hardcoded tokens, credentials, and other sensitive information within your source code.

You can scan infrastructure-as-code repositories for insecure patterns by running this skill, which integrates tools like tfsec and checkov to identify security risks, vulnerabilities, and misconfigurations in your codebase.