模糊测试
有状态防火墙
计算机科学
多样性(控制论)
分类学(生物学)
软件
机器学习
人工智能
程序设计语言
计算机安全
植物
生物
网络数据包
作者
Cristian Daniele,Seyed Behnam Andarzian,Erik Poll
标识
DOI:10.48550/arxiv.2301.02490
摘要
Fuzzing is a security testing methodology effective in finding bugs. In a nutshell, a fuzzer sends multiple slightly malformed messages to the software under test, hoping for crashes or weird 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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