Security-Testing

Complete Security Testing Methodology Hub Enhanced guides covering the full security testing lifecycle with 2026 AI-augmented techniques, modern reconnaissance, and comprehensive automation strategies. 🔍 Reconnaissance & Intelligence Gathering Open Source Intelligence (OSINT) Comprehensive OSINT Guide - 412 insights AI-assisted intelligence gathering, blockchain analysis Enhanced social media techniques, modern automation TikTok intelligence, emerging platform analysis Reconnaissance Guide - Enhanced 2026 Cloud-native techniques, container/serverless discovery Modern API reconnaissance, automated attack surface mapping ML-powered automation, continuous monitoring Advanced Intelligence Collection Attack surface discovery with modern cloud infrastructure Subdomain enumeration with 2026 techniques Content discovery and hidden endpoint identification JavaScript mining and client-side analysis Cloud asset hunting across AWS/GCP/Azure 🧪 Security Testing Tools & Techniques Professional Testing Tools Comprehensive Burp Suite Guide - 588 insights (+400% expansion) Enterprise DAST features, modern extensions (BurpAPISecuritySuite) Advanced BChecks/Bambdas, CI/CD integration Burp AI capabilities, professional workflows Automated Testing & Fuzzing Fuzzing Guide - AI-augmented techniques JVM fuzzing via Jazzer, Kotlin coroutine testing Advanced coverage methods, modern language support Web, binary, kernel, API, and smart-contract targets Mobile Application Testing Mobile Security Guide - 113 insights 2026 mobile threat intelligence, LANDFALL spyware analysis WebKit CVEs, iOS/Android security assessment Modern testing methodology, defensive controls 🎯 Specialized Testing Methodologies Bug Bounty & Vulnerability Research Bug Bounty Hunting Guide - AI-augmented methodology 2026 platform analysis, advanced reconnaissance pipelines Emerging vulnerability classes (SAML, WebAuthn, WASM) Automated chaining, data-driven career strategy Modern Security Challenges AI/LLM Security Testing - 111 sources AI system attack surface, prompt injection testing Jailbreak techniques, agentic system exploitation Layered detection and prevention strategies Supply Chain & Infrastructure Supply Chain Security - 54 sources CI/CD security testing, dependency scanning Package registry attack testing, SBOM validation Artifact provenance verification 📊 Testing Methodology Enhancement 2026 Intelligence Integration: ...

Comprehensive Fuzzing Guide 🆕 Enhanced May 2, 2026 - Updated with AI-augmented fuzzing techniques, JVM fuzzing via Jazzer, Kotlin coroutine testing, advanced coverage methods, and modern language support from comprehensive 2026 fuzzing research analysis. A practitioner’s reference for fuzz testing — fundamentals, coverage feedback, harness construction, corpus strategy, sanitizer usage, and the tool stack for web, binary, kernel, API, and smart-contract targets. Compiled from 46 research sources. Table of Contents Fundamentals Fuzzing Taxonomy Coverage-Guided Fuzzing Harness Construction Corpus Management & Seed Selection Dictionaries & Structure-Aware Fuzzing Sanitizers Binary Fuzzing (AFL++, libFuzzer, honggfuzz, LibAFL) Web Fuzzing (ffuf, wfuzz, feroxbuster, Burp Intruder) API Fuzzing (REST, GraphQL, Protobuf) Kernel & OS Fuzzing Directed & Grammar-Based Fuzzing AI-Augmented Fuzzing JVM Fuzzing (Jazzer, LibAFL) Rust & Python Fuzzing Snapshot Fuzzing (Nyx, HyperHook) Smart Contract Fuzzing Protocol & Network Fuzzing (Boofuzz, ICS) Crash Triage & Minimization CI/CD Integration Bugs That Survive Continuous Fuzzing Real-World Wins & CVEs Tools & Frameworks Reference Wordlist & Corpus Resources Quick Reference Cheatsheet 1. Fundamentals Fuzzing is automated software testing by bombarding a target with a large volume of semi-random, invalid, or unexpected inputs and watching for crashes, hangs, memory errors, or assertion failures. The technique originates with Barton Miller’s 1988 University of Wisconsin-Madison experiment, where random inputs crashed roughly a third of tested Unix utilities. ...