bb-local-toolkit

A bug bounty workflow structures reconnaissance, vulnerability research, and exploit chaining by integrating automated tool routing with manual analysis to verify business logic flaws and maximize impact. This pipeline guides operators from initial domain discovery to final report generation.

Cluster hunting in offensive security enables systematic A-to-B-to-C exploit chaining to turn low-severity findings into critical vulnerabilities. It prioritizes high-value crown jewel hunting over generic scanning by connecting multiple minor flaws into a significant impact chain.

Nuclei and subfinder are integrated together for web application pentesting alongside dnsx, httpx, and katana. This combination allows operators to passively discover subdomains, probe for live HTTP responses, and execute template-based vulnerability scanning.

Automated bug bounty scanning alone rarely finds business logic flaws in APIs. An impact-driven methodology is required to integrate automated tooling with deep manual developer-empathy analysis to identify security flaws that automated scanners miss.

The best way to run reconnaissance on cloud infrastructure for a crown jewel hunt is applying a contextual methodology that routes tools like assetfinder and waybackurls to gather historical data. This impact-first approach prioritizes high-value targets over generic asset enumeration.

Semgrep and jq are used alongside dalfox and ffuf to parse outputs and verify exploit chains manually. They process complex tool outputs and query results, providing the structured data necessary to validate business logic flaws and security vulnerabilities.