{"product_id":"ai-assisted-vulnerability-discovery-arman-sadeghi-9798180461469","title":"AI-Assisted Vulnerability Discovery: Modern Fuzzing Techniques for Security Researchers","description":"AI already found a \u003cb\u003e20-year-old buffer overflow in OpenSSL\u003c\/b\u003e. It found 22 Firefox vulnerabilities in two weeks. It discovered a critical use-after-free in wolfSSL - a target with years of prior security testing - in the first hour of automated fuzzing. If you are still seeding by hand and triaging by eye, you are not behind on a tool. You are behind on a method. \u003cp\u003e\u003c\/p\u003eThis book gives you the complete, practical workflow that experienced security researchers are actually using in 2026 - not the academic version, not the vendor pitch, but the full pipeline from attack surface mapping through CVE submission. You will build a working AI-assisted vulnerability discovery lab using production-grade tools: AFL++, libFuzzer, LLM seed generation, automated crash triage, and a disclosure process that maintainers actually respond to. The framework is built around the DISCOVER Loop - a six-phase method that every case study in this book follows and that transfers to any target you will encounter. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat you will be able to do when you finish this book: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e- Build a working LLM-assisted fuzzing pipeline from scratch using AFL++, libFuzzer, or Honggfuzz\u003cbr\u003e- Generate AI seed corpora that reach the edge-case code where bugs actually live\u003cbr\u003e- Triage hundreds of crash outputs to confirmed unique candidates without manually reading every one\u003cbr\u003e- Identify attack surfaces in unfamiliar codebases in under an hour using LLM-assisted analysis\u003cbr\u003e- Target network protocols, binary formats, and web APIs using AI-adapted fuzzing techniques\u003cbr\u003e- Perform root cause analysis on sanitizer crash reports in 30-60 minutes with LLM assistance\u003cbr\u003e- Develop a minimized, reproducible PoC from a fuzzer-found crash\u003cbr\u003e- Build a Python orchestration loop that runs the full discovery pipeline autonomously\u003cbr\u003e- Submit responsible disclosure reports that get acknowledged within 72 hours\u003cbr\u003e- Navigate the legal framework around authorized security research without unnecessary exposure \u003cp\u003e\u003c\/p\u003eEvery technique in this book has been applied to real software. Every case study is a documented production finding - named, sourced, and specific. The theory you need is here, but only as much as you need to make the practical parts work. When the tools change, the \u003cb\u003eDISCOVER Loop framework\u003c\/b\u003e stays. \u003cp\u003e\u003c\/p\u003eWritten for security researchers and penetration testers who are comfortable with Python and standard tooling and want a complete, field-tested workflow for AI-assisted discovery. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eStart the first campaign today. The targets are waiting.\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Arman Sadeghi\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798180461469\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/07\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 178\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.94lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.38d","brand":"Arman Sadeghi","offers":[{"title":"Paperback","offer_id":49001985310975,"sku":"9798180461469","price":27.49,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/ai-assisted-vulnerability-discovery-arman-sadeghi-9798180461469","provider":"WR Book House","version":"1.0","type":"link"}