Bug-Bounty

Comprehensive Bug Bounty Hunting Guide 🆕 Updated September 12, 2026 — added the WPForms PayPal webhook duplicate story (CVE-2026-4986): what being reporter #11 tells you about target selection. A practitioner’s reference for modern bug bounty hunting — AI-augmented methodology, 2026 platform analysis, advanced reconnaissance pipelines, emerging vulnerability classes (SAML, WebAuthn, WASM), automated chaining, and data-driven career strategy. Enhanced with insights from 45+ methodology articles. Table of Contents Fundamentals & Mindset Bug Bounty Platforms Scope Analysis & Target Selection The End-to-End Methodology 2026 Methodology Advances Reconnaissance Pipeline Subdomain Enumeration Deep Dive Asset Discovery & Attack Surface Mapping JavaScript Analysis & Secret Hunting Content Discovery & Fuzzing Vulnerability Classes to Hunt Business Logic & Chaining Cloud, API & Web3 Attack Surfaces AI / LLM Testing Real-World Disclosed Writeups Report Writing & Triage Tools & Automation Stack Income & Payout Strategies Common Mistakes & Anti-Patterns Learning Resources Quick Reference Cheat Sheets 1. Fundamentals & Mindset Bug bounty hunting is the practice of finding and responsibly disclosing security vulnerabilities to organizations that reward researchers for their findings. Unlike traditional penetration testing, bug bounty is outcome-driven: no bug, no bounty. Payouts range from $50 nuisance bugs to $2M+ for critical cloud / crypto findings. ...

There’s no Python library for parsing Content Security Policy headers. I checked PyPI, I checked GitHub — nothing. Google has a CSP Evaluator web tool and an npm package, but if you want to analyze CSP programmatically in Python — for recon scripts, bug bounty automation, or CI pipelines — you’re on your own. So I built one. csp-toolkit is a Python library and CLI tool that parses CSP headers, runs 21 weakness checks, finds bypass vectors against a database of 79 known-exploitable domains, scores policies A+ to F, and does a lot more. The current release is v0.8.1 on PyPI (changelog, docs). ...