在Android金融应用中破坏Ad-hoc运行时完整性保护机制

Taehun Kim, Hyeonmin Ha, Seoyoon Choi, Jaeyeon Jung, Byung-Gon Chun
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引用次数: 12

摘要

为了保护客户的敏感信息,许多移动金融应用程序包括探测运行时环境的步骤,如果环境被认为已被篡改,则中止执行。本文研究了韩国76个流行的安卓金融应用中使用的这种自卫机制的安全性。我们的调查发现,现有的工具无法有效地分析这些Android应用,因为它们的代码非常模糊,控制流程非常复杂。我们通过从目标应用程序执行的详细运行时跟踪记录中提取带有自我保护机制的调用图来克服这一挑战。为了生成调用图,我们确定了用于检查设备生根和应用程序完整性的系统api (Android api和系统调用)与用于停止应用程序执行的系统api之间的因果关系。我们对76款应用的分析表明,在大多数情况下,我们可以利用因果关系图找到绕过自我防御机制的方法。我们成功绕过了73个检查设备生根的应用程序中的67个和44个检查应用程序完整性的应用程序中的39个的自卫机制。在分析自我保护机制时,我们发现许多应用程序依赖第三方安全库来实现自我保护机制。因此,我们对五大安全库进行了深入研究。我们的结果证明了平台级完整性检查解决方案的必要性。
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Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps
To protect customers' sensitive information, many mobile financial applications include steps to probe the runtime environment and abort their execution if the environment is deemed to have been tampered with. This paper investigates the security of such self-defense mechanisms used in 76 popular financial Android apps in the Republic of Korea. Our investigation found that existing tools fail to analyze these Android apps effectively because of their highly obfuscated code and complex, non-traditional control flows. We overcome this challenge by extracting a call graph with a self-defense mechanism, from a detailed runtime trace record of a target app's execution. To generate the call graph, we identify the causality between the system APIs (Android APIs and system calls) used to check device rooting and app integrity, and those used to stop an app's execution. Our analysis of 76 apps shows that we can pinpoint methods to bypass a self-defense mechanism using a causality graph in most cases. We successfully bypassed self-defense mechanisms in 67 out of 73 apps that check device rooting and 39 out of 44 apps that check app integrity. While analyzing the self-defense mechanisms, we found that many apps rely on third-party security libraries for their self-defense mechanisms. Thus we present in-depth studies of the top five security libraries. Our results demonstrate the necessity of a platform-level solution for integrity checks.
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