Futag:用于测试软件库的自动模糊目标生成器

Chi Thien Tran, S. Kurmangaleev
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引用次数: 1

摘要

最近,模糊测试是一种最成功的暴露软件缺陷的技术。对于测试具有许多特性和入口点的大型程序或大型代码库,创建模糊目标仍然是一个很大的挑战。本文介绍了一种用于测试软件库的自动模糊目标生成器Futag。这种方法使用静态分析来收集有关源代码的信息:数据类型定义、类型的依赖关系、函数定义等。Futag在libopenssl、libpng、libjson-c、libxml2等最新版本的流行库中发现了许多漏洞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Futag: Automated fuzz target generator for testing software libraries
Recently, Fuzzing is one of the most successful techniques to expose bugs in software. For testing large programs or large codebase with many features and entry-points, the creation of fuzz-targets remains a big challenge. In this paper, we introduce Futag – an automated fuzz target generator for testing software libraries. This approach uses static analysis to collect information about source code: data type definitions, dependencies of types, definitions of functions, etc. Futag has found many vulnerabilities in latest version of popular libraries such as: libopenssl, libpng, libjson-c, liblxml2.
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