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SnapFuzz: An Efficient Fuzzing Framework for Network Applications. (arXiv:2201.04048v1 [cs.CR])
Jan. 12, 2022, 2:20 a.m. | Anastasios Andronidis, Cristian Cadar
cs.CR updates on arXiv.org arxiv.org
In recent years, fuzz testing has benefited from increased computational
power and important algorithmic advances, leading to systems that have
discovered many critical bugs and vulnerabilities in production software.
Despite these successes, not all applications can be fuzzed efficiently. In
particular, stateful applications such as network protocol implementations are
constrained by their low fuzzing throughput and the need to develop fuzzing
harnesses that reset their state and isolate their side effects. In this paper,
we present SnapFuzz, a novel fuzzing …
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