Fuzzers for Stateful Systems: Survey and Research Directions

被引：1
|
作者：
Daniele, Cristian [1 ]
Andarzian, Seyed Behnam [1 ]
Poll, Erik [1 ]
机构：
[1] Radboud Univ Nijmegen, Houtlaan 4, NL-6525 XZ Nijmegen, Netherlands
来源：
ACM COMPUTING SURVEYS | 2024年 / 56卷 / 09期
关键词：
Stateful fuzzing; state model; active learning;
D O I：
10.1145/3648468
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Fuzzing is a very effective testing methodology to find bugs. In a nutshell, a fuzzer sends many slightly malformed messages to the software under test, hoping for crashes or incorrect system behaviour. The methodology is relatively simple, although applications that keep internal states are challenging to fuzz. The research community has responded to this challenge by developing fuzzers tailored to stateful systems, but a clear understanding of the variety of strategies is still missing. In this paper, we present the first taxonomy of fuzzers for stateful systems and provide a systematic comparison and classification of these fuzzers.
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页数：23
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