DEPA: Determining Exploit Primitives Automatically for Interactive Programs

Jie Liu, Hang An, Jin Li, Hongliang Liang
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Abstract

Automated Exploit Generation (AEG) is a well-known difficult task, especially for heap vulnerabilities. The premise of this task is the determination of exploit primitives, and prior research efforts for exploit primitive determination are usually based on vulnerability identification. However, it is not always easy to discovery bugs using fuzzing or symbolic technologies for some programs. In this paper, we present a solution DEPA to determine exploit primitives based on primitive-crucial-behavior model for heap vulnerabilities. The core of DEPA contains two novel techniques, 1) primitive-crucial-behavior identification through pointer dependence analysis, and 2) exploit primitive determination method which includes triggering both vulnerabilities and exploit primitives. We evaluate DEPA on real-world CTF (capture the flag) programs with heap vulnerabilities and DEPA can discovery arbitrary write and arbitrary jump exploit primitives for some programs except for program multi-heap. Results showed that primitive-crucial-behavior identification and determining exploit primitives are accurate and effective by using our approach. In addition, DEPA is superior to the state-of-the-art tools in determining exploit primitives for the heap internal overflow vulnerability.
自动为交互式程序确定利用原语
自动化漏洞生成(AEG)是一项众所周知的困难任务,特别是对于堆漏洞。该任务的前提是确定攻击原语,而以往针对攻击原语的研究通常是基于漏洞识别。然而,对于某些程序,使用模糊测试或符号技术发现错误并不总是那么容易。本文提出了一种基于原语-关键行为模型确定堆漏洞利用原语的DEPA解决方案。DEPA的核心包含两个新技术:1)通过指针依赖分析来识别原语-关键行为,2)利用原语确定方法,包括触发漏洞和利用原语。我们在具有堆漏洞的真实CTF(捕获标志)程序上对DEPA进行了评估,DEPA可以发现除程序多堆之外的某些程序的任意写和任意跳转利用原语。结果表明,该方法能够准确有效地识别原语-关键行为,确定攻击原语。此外,DEPA在确定堆内部溢出漏洞的利用原语方面优于最先进的工具。
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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