Futag: Automated fuzz target generator for testing software libraries

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

Abstract

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.
Futag:用于测试软件库的自动模糊目标生成器
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。
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