Modelgen: mining explicit information flow specifications from concrete executions

Lazaro Clapp, Saswat Anand, A. Aiken
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引用次数: 28

Abstract

We present a technique to mine explicit information flow specifications from concrete executions. These specifications can be consumed by a static taint analysis, enabling static analysis to work even when method definitions are missing or portions of the program are too difficult to analyze statically (e.g., due to dynamic features such as reflection). We present an implementation of our technique for the Android platform. When compared to a set of manually written specifications for 309 methods across 51 classes, our technique is able to recover 96.36% of these manual specifications and produces many more correct annotations that our manual models missed. We incorporate the generated specifications into an existing static taint analysis system, and show that they enable it to find additional true flows. Although our implementation is Android-specific, our approach is applicable to other application frameworks.
Modelgen:从具体执行中挖掘显式信息流规范
我们提出了一种从具体执行中挖掘显式信息流规范的技术。这些规范可以被静态污染分析使用,使静态分析即使在方法定义缺失或部分程序难以静态分析(例如,由于诸如反射之类的动态特性)时也能工作。我们提出了在Android平台上实现我们的技术。与为51个类中的309个方法编写的一组手动规范相比,我们的技术能够恢复这些手动规范的96.36%,并生成我们的手动模型错过的更多正确注释。我们将生成的规范合并到现有的静态污染分析系统中,并显示它们使它能够找到额外的真实流。虽然我们的实现是android专用的,但我们的方法适用于其他应用程序框架。
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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