Curtailing privilege escalation attacks over asynchronous channels on Android

Katharina Mollus, D. Westhoff, T. Markmann
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引用次数: 7

Abstract

Recently we presented QuantDroid [7], a quantitative approach towards mitigating privilege escalation attacks on Android. By monitoring all synchronous IPC via overt channels on-the-fly, a so called flow-graph service detects an abnormal amount of traffic exchanged between DVMs running different Apps to indicate a potential horizontal privilege escalation attack. However, although certainly a valuable first step, our initial QuantDroid approach fails when dealing with asynchronous IPC via persistent storage containers on the Android system. To also address this issue, in this work we extend QuantDroid to QuantDroid++ by providing i) a central storage of taints when operating on system-internal databases of Android, ii) an extension of the SQL cursor object to preserve taints and link requested data with such taints, and, finally iii) an inspection of the information flow with such newly available taints for all relevant database operations.
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减少Android上异步通道上的特权升级攻击
最近,我们提出了QuantDroid[7],这是一种量化的方法,可以缓解针对Android的特权升级攻击。通过公开通道实时监控所有同步IPC,所谓的流图服务检测运行不同应用程序的dvm之间交换的异常流量,以指示潜在的水平特权升级攻击。然而,尽管这是有价值的第一步,我们最初的QuantDroid方法在处理Android系统上通过持久存储容器的异步IPC时失败了。为了解决这个问题,在这项工作中,我们将QuantDroid扩展到QuantDroid++,提供i)在Android系统内部数据库上操作时的污点中央存储,ii) SQL游标对象的扩展,以保存污点并将请求的数据与这些污点链接,最后iii)使用这些新可用的污点检查所有相关数据库操作的信息流。
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