通过 PoC 分析揭示堆溢出的可利用性

IF 3.9 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Qintao Shen, Guozhu Meng, Kai Chen
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引用次数: 0

摘要

可利用的堆布局用于确定通用应用程序中堆漏洞的可利用性。先前的研究侧重于使用基于模糊的方法生成更多可利用的堆布局。然而,可利用的堆布局并不能完全证明漏洞的可利用性,因为攻击者能否控制溢出所覆盖的数据并不确定。在本文中,我们提出了堆溢出可利用性评估器(Hoee),这是一种通过评估模糊器生成的概念验证(PoC)来自动揭示堆缓冲区溢出漏洞可利用性的新方法。Hoee 利用多种技术收集运行时的动态信息,并以细粒度方式恢复堆对象布局。我们仔细分析了溢出上下文,以确定敏感指针是否已损坏、被污染或被严重使用。我们利用 16 个通用程序中的 34 个真实 CVE 漏洞对 Hoee 进行了评估。结果表明,Hoee 能准确识别在漏洞上下文中开发漏洞的关键因素,并能正确识别溢出行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Revealing the exploitability of heap overflow through PoC analysis

Revealing the exploitability of heap overflow through PoC analysis

The exploitable heap layouts are used to determine the exploitability of heap vulnerabilities in general-purpose applications. Prior studies have focused on using fuzzing-based methods to generate more exploitable heap layouts. However, the exploitable heap layout cannot fully demonstrate the exploitability of a vulnerability, as it is uncertain whether the attacker can control the data covered by the overflow. In this paper, we propose the Heap Overflow Exploitability Evaluator (Hoee), a new approach to automatically reveal the exploitability of heap buffer overflow vulnerabilities by evaluating proof-of-concepts (PoCs) generated by fuzzers. Hoee leverages several techniques to collect dynamic information at runtime and recover heap object layouts in a fine-grained manner. The overflow context is carefully analyzed to determine whether the sensitive pointer is corrupted, tainted, or critically used. We evaluate Hoee on 34 real-world CVE vulnerabilities from 16 general-purpose programs. The results demonstrate that Hoee accurately identifies the key factors for developing exploits in vulnerable contexts and correctly recognizes the behavior of overflow.

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来源期刊
Cybersecurity
Cybersecurity Computer Science-Information Systems
CiteScore
7.30
自引率
0.00%
发文量
77
审稿时长
9 weeks
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