bug-bounty

The bug bounty workflow automates subdomain enumeration, asset discovery, and fingerprinting while analyzing HackerOne scope boundaries. It identifies valid testing targets and researches tech stacks to map your attack surface before active vulnerability hunting begins.

A-to-B bug chaining systematically links vulnerabilities like IDOR to auth bypass and SSRF to cloud metadata exposure. This methodology maximizes exploit impact by combining lower-severity web application flaws into critical security breaches during vulnerability hunting.

Dedicated LLM and AI security testing features allow you to identify chatbot IDOR, execute prompt injection attacks, and test exfiltration channels. This validates AI application vulnerabilities and documents their potential impact during the hunting workflow.

Vulnerability validation uses a 7-Question Gate and four validation gates to confirm exploitability before reporting. Reports feature human-tone writing and accurate CVSS 3.1 scoring to professionally communicate web security findings to bug bounty programs.

Pre-hunt learning analyzes disclosed bug bounty reports and researches tech stacks to create detailed mind maps. This preparation phase builds target-specific knowledge to uncover vulnerabilities like XSS, CSRF, and auth bypass more effectively during active hunting.