到底是什么决定了它的类型?使用上下文推断类型

Ligeng Chen
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引用次数: 0

摘要

闭源程序缺乏对代码分析至关重要的关键信息,因为这些信息在编译时被剥离,以实现更小的可执行文件大小。变量类型信息是这个过程的基础。在本文中,我们实现了一个称为CATI(上下文辅助类型推断)的系统,该系统从剥离的二进制文件中定位变量并从变量中推断出19种类型。实验表明,该算法对未见过的二进制数据的变量类型推断准确率为71.2%。
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What Exactly Determines the Type? Inferring Types with Context
Closed-source programs lack crucial information vital for code analysis because that information is stripped on compilation to achieve smaller executable size. Variable type information is fundamental in this process. In this paper, we implement a system called CATI (Context-Assisted Type Inference), which locates variables from stripped binaries and infers 19 types from variables. Experiments show that it infers variable type with 71.2% accuracy on unseen binaries.
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