带有抽象解释和静态污点跟踪的自动漏洞挖掘

Xiaocong Wang, Fei Yan, Fan He
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引用次数: 0

摘要

随着软件规模的不断扩大,迫切需要有效的漏洞自动挖掘方法。本文提出了一种生成高针对性和高可达性测试用例的新方法。与标准模糊测试技术盲目地探索测试空间不同,我们的方法利用基于间隔的抽象解释来定位在某些特殊条件下可能导致缓冲区溢出的程序弱点,并利用静态污染跟踪技术建立弱点与程序输入之间的映射。此外,通过符号执行获取每个脆弱点的路径约束。最后,结合映射信息和路径约束,提出了指导测试用例生成的策略。
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Automatic vulnerability mining with abstract interpretation and static taint trace
With the expansion of software scale, effective approaches for automatic vulnerability mining have been in badly needed. This paper presents a novel approach which can generate test cases of high pertinence and reachability. Unlike standard fuzzing techniques which explore the test space blindly, our approach utilizes abstract interpretation based on intervals to locate the Frail-Points of program which may cause buffer over-flow in some special conditions and the technique of static taint trace to build mappings between the Frail-Points and program inputs. Moreover, acquire path constraints of each Frail-Point through symbolic execution. Finally, combine information of mappings and path constraints to propose a policy for guiding test case generation.
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