Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI-Assisted Vulnerability Discovery: Modern Fuzzing Techniques for Security Researchers

AI-Assisted Vulnerability Discovery: Modern Fuzzing Techniques for Security Researchers

Sadeghi, Arman

Paperback

Computer Security

Currently unavailable to order

ISBN13: 9798180461469
Publisher: Independently Published
Pages: 178
Weight: 0.94
Height: 0.38 Width: 8.50 Depth: 11.00
Language: English
AI already found a 20-year-old buffer overflow in OpenSSL. 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.

This 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.

What you will be able to do when you finish this book:

- Build a working LLM-assisted fuzzing pipeline from scratch using AFL++, libFuzzer, or Honggfuzz

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