sc-path-traversal

Detect path traversal vulnerabilities by scanning source code using pattern matching and data-flow analysis to trace user-supplied file paths to file system access, identifying insecure routes and reporting risks across Unix and Windows environments.

The best way to scan for LFI, RFI, and zip slip attacks is to perform automated security audits using pattern-based discovery and input normalization checks that identify traversal vectors like ../ and URL-encoded bypasses across multiple languages.

Data-flow analysis identifies directory traversal weaknesses by tracking user input from entry points through to file system access, revealing insecure paths and validating safe-path logic to detect exploitable exposure in web apps and APIs.

Yes, you can scan a Python project for symlink and path traversal risks by running automated security scanning that checks user-supplied file paths, validates safe-path handling, and generates a remediation report for detected weaknesses.

Path traversal detection works across both Unix and Windows file system contexts by implementing input normalization checks and pattern matching that account for platform-specific directory separators and web context variations.