What problem does it solve? Security researchers often miss or misreport Local File Inclusion and path traversal bugs because blind sinks produce no visible output and filter bypasses are easy to get wrong. This Skill provides a structured methodology to find, confirm, and escalate file-inclusion vulnerabilities without false positives. ## Core Features & Use Cases - Systematic Detection Workflow: Enumerate candidate parameters (page, file, template, path), apply traversal and encoding bypasses, and test PHP wrappers like php://filter for source disclosure. - Escalation Chains to RCE: Upgrade a file-read primitive via PHP filter-chain iconv conversion, log poisoning, session/upload poisoning, phar:// deserialization, or RFI when allow_url_include is enabled. - Blind Confirmation Discipline: Use Burp Collaborator OOB callbacks and triple-confirmed timing/length deltas to prove blind LFI, avoiding false positives from echoed paths or status-code diffs. - Use Case: While testing a PHP target, you find ?page= accepts input. Follow the methodology to read /etc/passwd, leak index.php source via base64 filter, then build a filter-chain payload to achieve command execution with OOB proof. ## Quick Start Ask the AI to hunt for LFI and path traversal vulnerabilities on your authorized target using the hunt-lfi methodology, starting with parameter enumeration and /etc/passwd confirmation.