在android中检测隐藏的特权升级

IF 3.1 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Mohamed A. El-Zawawy, Aya Hamdy
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引用次数: 0

摘要

Android是使用最广泛的智能手机操作系统,它有多个应用间通信选项,如广播接收器、意图、内容提供者和目标。尽管Android权限系统限制访问并保护用户数据,但安全漏洞允许恶意应用程序滥用权限系统。高阶特权升级,即应用程序在多个阶段合作规避安全限制,是这个生态系统中的一个关键漏洞。本文提出了一种新的n阶案例分析方法来发现不可检测的特权升级。我们的方法通过自动化测试用例生成和平稳分析系统地识别多阶段权限升级。与当前强调直接权限滥用的方法不同,我们的方法分析了许多应用程序交互中的升级链,并发现了52,982个四阶权限升级实例,这些实例在检查一阶转换时未被注意到。此外,我们的研究结果显示了一个重要的区别:良性程序通过升级链逐渐获得更大的权限,而恶性应用程序要求过高的前期权限。这种差异强调了更好的权限管理技术的必要性,以减少与不断上升的高阶特权升级相关的严重风险,而当前的检测系统通常忽略了这一点。因此,我们的方法满足了对更具可扩展性的检测技术的需求,以解决Android生态系统中具有挑战性的安全问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of hidden privilege escalations in android

Android’s most widely used smartphone OS has several inter-app communication options, such as broadcast receivers, intents, content providers, and objectives. Even though the Android permission system restricts access and safeguards user data, security flaws allow malicious apps to abuse permission systems. Higher-order privilege escalation, where apps cooperate to circumvent security limitations throughout several phases, is a key vulnerability in this ecosystem. This paper presents a new method for n-order case analysis to find undetectable privilege escalations. Our approach systematically identifies multi-stage permission escalations via automated test case generation and stationary analysis. Unlike current methods emphasizing direct permission misuse, our approach analyzes escalation chains across many app interactions and uncovered 52,982 instances of fourth-order privilege escalation that went unnoticed when just first-order transitions were examined. Furthermore, our findings show an important distinction: benign programs gradually gain greater permissions through escalation chains, whereas malignant apps request excessively high upfront rights. This difference emphasizes the necessity of better permission management techniques to reduce the serious risk associated with rising higher-order privilege escalations, which are generally disregarded by current detection systems. Therefore, our method fulfills the need for a more scalable detection technique to address this challenging security concern in Android ecosystem.

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来源期刊
Automated Software Engineering
Automated Software Engineering 工程技术-计算机:软件工程
CiteScore
4.80
自引率
11.80%
发文量
51
审稿时长
>12 weeks
期刊介绍: This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.
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