August & September 2024

📝 Blogposts/Papers/Slides

• SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing – https://www.mlsec.org/docs/2024c-asiaccs.pdf
• Expand the reach of Fuzzing – https://thuanpv.github.io/publications/NUS_Summer_School_Thuan_Pham_Final_Public.pdf
• On Understanding and Forecasting Fuzzers Performance with Static Analysis – https://s3.eurecom.fr/docs/ccs24_zhang.pdf
• Ring Around The Regex: Lessons learned from fuzzing regex libraries (Part 1)
•  – https://secret.club/2024/06/30/ring-around-the-regex-1.html
• ARVO: Atlas of Reproducible Vulnerabilities for Open Source Software – https://arxiv.org/pdf/2408.02153
• RISCVuzz: Discovering Architectural CPU Vulnerabilities via Differential Hardware Fuzzing – https://ghostwriteattack.com/riscvuzz.pdf
• Fuzzing scripting languages’ interpreters’ native functions using AFL++ to find memory corruption and more – https://joshua.hu/aflplusplus-fuzzing-scripting-languages-natively
• Overcoming State: Finding Baseband Vulnerabilities by Fuzzing Layer-2 – https://i.blackhat.com/BH-US-24/Presentations/US24-Goos-Overcoming-State-Finding-Baseband-Vulnerabilities-Thursday.pdf
• Meta Bug Bounty — Fuzzing “netconsd” for fun and profit – part 1 – https://blog.fadyothman.com/meta-bug-bounty-fuzzing-netconsd-for-fun-and-profit-part-1-6ffe96eb1419
• Meta Bug Bounty — Fuzzing “netconsd” for fun and profit — part 2 – https://blog.fadyothman.com/meta-bug-bounty-fuzzing-netconsd-for-fun-and-profit-part-2-52bf188cc877
• Fuzzing µC/OS protocol stacks, Part 1: HTTP server fuzzing – https://blog.talosintelligence.com/fuzzing-uc-os-protocol-stacks-part-1/
• Fuzzing µCOS protocol stacks, Part 2: Handling multiple requests per test case – https://blog.talosintelligence.com/fuzzing-ucos-protocol-stacks-part-2/
• Fuzzing µC/OS protocol stacks, Part 3: TCP/IP server fuzzing, implementing a TAP driver – https://blog.talosintelligence.com/fuzzing-uc-os-protocol-stacks-part-3/

⚙️ Tools/Repositories

• Fuzz anything with Program Environment Fuzzing – https://github.com/GJDuck/EnvFuzz
• Syzkaller got snapshot-based mode – https://x.com/dvyukov/status/1821543202585022910?t=A5hsdcyoiN48qFNeOUAJoQ&s=03

Patrick Ventuzelo / @Pat_Ventuzelo

About Us

Founded in 2021 and headquartered in Paris, FuzzingLabs is a cybersecurity startup specializing in vulnerability research, fuzzing, and blockchain security. We combine cutting-edge research with hands-on expertise to secure some of the most critical components in the blockchain ecosystem.

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