基于关系信息提取的二进制文件精确静态分析

Alexander Sepp, B. Mihaila, A. Simon
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引用次数: 38

摘要

虽然二进制文件的控制流图的重建受到了广泛的关注,但将代码分类为无缺陷和可能不正确的代码仍然是当前静态分析的一个挑战。我们提出了中间语言RREIL和相应的分析框架,该框架能够推断变量的精确数字信息,而无需诉诸于昂贵的位级分析。具体来说,我们提出了三个抽象域的层次结构接口,分别用于推断存储器布局、位级信息和数字信息。我们的框架可以很容易地在每个级别上添加新的抽象域。我们通过将一种新的加速技术(所谓的扩展)作为一个抽象域来详细说明框架的可扩展性,该技术有助于找到环路的精确不动点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Precise Static Analysis of Binaries by Extracting Relational Information
While the reconstruction of the control-flow graph of a binary has received wide attention, the challenge of categorizing code into defect-free and possibly incorrect remains a challenge for current static analyses. We present the intermediate language RREIL and a corresponding analysis framework that is able to infer precise numeric information on variables without resorting to an expensive analysis at the bit-level. Specifically, we propose a hierarchy of three interfaces to abstract domains, namely for inferring memory layout, bit-level information and numeric information. Our framework can be easily enriched with new abstract domains at each level. We demonstrate the extensibility of our framework by detailing a novel acceleration technique (a so-called widening) as an abstract domain that helps to find precise fix points of loops.
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