Fuzz4B:前端的AFL不仅为模糊专家

Proceedings of the 11th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation Pub Date : 2020-11-08 DOI:10.1145/3412452.3423572

Ryu Miyaki, Norihiro Yoshida, Natsuki Tsuzuki, Ryota Yamamoto, H. Takada

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引用次数: 0

摘要

在这篇工具演示论文中，我们提出了一个名为Fuzz4B(初学者模糊测试)的工具，它是一个具有代表性的模糊测试AFL的前端，适用于没有模糊测试经验的开发人员。Fuzz4B不仅是一个前端，它还允许开发人员重现崩溃并最小化导致崩溃的模糊。作为一个使用示例，我们演示了使用Fuzz4B来执行模糊测试，以发现开放源码库库的故障。Fuzz4B及其视频可在:https://github.com/Ryu-Miyaki/Fuzz4B。

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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Fuzz4B: a front-end to AFL not only for fuzzing experts

In this tool demonstration paper, we propose a tool named Fuzz4B (Fuzzing for Beginner), which is a front-end to a representative fuzzer AFL for developers who are inexperienced in fuzz testing. Fuzz4B is not only a front-end, but it also allows developers to reproduce a crash and minimize a fuzz that causes the crash. As a usage example, we demonstrated the use of Fuzz4B to perform fuzz testing to discover a failure of an open source library librope. Fuzz4B and its video are available at: https://github.com/Ryu-Miyaki/Fuzz4B.

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Proceedings of the 11th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation

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