Directer: A Parallel and Directed Fuzzing based on Concolic Execution

Xiaobin Song, Zehui Wu, Yunchao Wang
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Abstract

Fuzzing is a widely used technology to find vulnerabilities, but the current technology is mostly based on coverage and there are relatively few research in the field of directed fuzzing. In this paper, a parallelized testing technique combining directed fuzzing and concolic execution will be proposed. It extracts path space within the level of basic block in the function call chain through the program control flow analysis and function call relationship. Concolic execution is used to implement the target reachable paths guidance, in order to achieve the goal of rapid arrival. In the experimental stage, the developed Directer was used to test on LAVA dataset, which shows better performance than the existing fuzzers.
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Directer:一种基于协同执行的并行定向模糊测试
模糊测试是一种广泛使用的漏洞发现技术,但目前的技术大多是基于覆盖的,在定向模糊测试领域的研究相对较少。本文提出了一种结合定向模糊和协同执行的并行化测试技术。通过程序控制流分析和函数调用关系,提取函数调用链中基本块层内的路径空间。采用协同执行来实现对目标可达路径的引导,以达到快速到达的目的。在实验阶段,开发的Directer在LAVA数据集上进行了测试,显示出比现有模糊器更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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