scan

To scan a codebase for security vulnerabilities and exposed secrets, target specific paths like API routes or authentication logic to identify risks. The process yields exact file and line locations, severity classifications, and concrete fixes for quick remediation.

The best way to detect hardcoded secrets and leaked environment files in a repository is by running a targeted secrets audit. This method locates exposed keys and provides actionable recommendations to remove or secure the sensitive data immediately.

Yes, you can audit dependency manifests for vulnerable packages during a code audit. The process runs or recommends ecosystem-specific dependency audits, returning severity labels and remediation steps to reduce breach risk from outdated libraries.

Yes, semantic analysis finds broken access control, logic flaws, and race conditions in authentication logic. By combining semantic analysis with deterministic pattern detection, it identifies complex exploitable issues that standard scans miss.

Prioritize database query and file handling vulnerabilities by scanning the attack surface and reviewing severity classifications. The resulting report provides exploit scenarios and concrete fixes so teams can triage and remediate the most exploitable issues first.

Integrate deterministic scans with shieldkit during a vulnerability scan when you need to combine pattern detection with semantic analysis. This hybrid strategy identifies exposed secrets and risky dependencies while catching logic flaws in web and backend projects.