check-security

To scan a Python codebase for security vulnerabilities, you can run a tool like Bandit to perform static analysis. It identifies common flaws, classifies them by severity, and maps them to CWE identifiers for remediation.

Static analysis for Python security flaws involves scanning source code without executing it to identify dangerous patterns. Tools like Bandit detect vulnerabilities, categorize risk by severity, and provide remediation guidance based on CWE mappings.

Yes, Bandit supports targeted path scanning for specific directories within a Python project. This allows you to focus security checks on particular code paths rather than executing a full-repo scan, saving time during targeted code review.

Yes, you can filter Bandit security scan results by severity level. The scanner classifies identified vulnerabilities into HIGH, MEDIUM, and LOW categories, allowing you to prioritize remediation efforts based on the risk profile of the findings.

You can integrate Bandit security scanning into a CI workflow by scripting the installation, execution, and result parsing phases deterministically. This establishes a repeatable workflow to automatically detect Python vulnerabilities during code integration.

Bandit focuses on static analysis to identify common security vulnerabilities in Python code. It does not execute code, so it will not detect runtime issues or complex logic flaws, serving strictly as a deterministic, scriptable component of a broader code review.