Large Language Model guided Protocol Fuzzing
Ruijie Meng
Network and Distributed System Security (NDSS) Symposium 2024 · Day 1 · Fuzzing
This article delves into "Large Language Model guided Protocol Fuzzing," a groundbreaking approach presented at the NDSS Symposium. The talk, delivered by Ruijie Meng, addresses a critical and persistent challenge in cybersecurity: the vulnerability of network protocol implementations. These protocols, fundamental to internet communication, are often informally specified in natural language documents like RFCs, making it exceptionally difficult to automatically generate valid, diverse test inputs for fuzzing. Traditional mutation-based fuzzers, while prevalent, struggle with limited seed diversity, unknown message structures, and premature coverage plateaus, leaving deep-seated vulnerabilities undiscovered.