二进制码的灰盒聚类测试

Jaeseung Choi, J. Jang, Choongwoo Han, S. Cha
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引用次数: 59

摘要

我们提出了灰盒集合测试,一种新的基于路径的测试用例生成方法,它结合了白盒和灰盒模糊测试的优点。在高层次上,我们的技术系统地探索被测程序的执行路径,就像在白盒模糊测试(又名concolic测试)中一样,同时不放弃灰盒模糊测试的简单性:它只使用轻量级的工具,并且不依赖于SMT求解器。我们在一个名为Eclipser的系统中实现了我们的技术,并将其与最先进的灰盒模糊器(包括AFLFast、af -intel、Steelix和VUzzer)以及符号执行器(KLEE)进行了比较。在我们的实验中,我们获得了比其他工具更高的代码覆盖率,并且发现了更多的bug。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grey-Box Concolic Testing on Binary Code
We present grey-box concolic testing, a novel path-based test case generation method that combines the best of both white-box and grey-box fuzzing. At a high level, our technique systematically explores execution paths of a program under test as in white-box fuzzing, a.k.a. concolic testing, while not giving up the simplicity of grey-box fuzzing: it only uses a lightweight instrumentation, and it does not rely on an SMT solver. We implemented our technique in a system called Eclipser, and compared it to the state-of-the-art grey-box fuzzers (including AFLFast, LAF-intel, Steelix, and VUzzer) as well as a symbolic executor (KLEE). In our experiments, we achieved higher code coverage and found more bugs than the other tools.
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