基于SVM的缓冲区边界违规检测

Qingkun Meng, Bin Zhang, Chao Feng, Chaojing Tang
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引用次数: 3

摘要

本文提出了一种新的缓冲区边界违规漏洞检测方法。主要思想是使用数组索引操作的度量,而不是使用任何启发式方法。我们采用基于支持向量机的分类器对脆弱函数和无害函数进行分类。然后将易受攻击的函数馈送到函数调用图引导的符号执行中,精确判断其是否为真正的漏洞。通过上述措施,可以准确、高效地检测缓冲区边界违例。
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Detecting Buffer Boundary Violations Based on SVM
In this paper a new vulnerability detecting method is proposed to detect buffer boundary violations. The main idea is to use the metric of array index manipulation rather than using any heuristic method. We employ a SVM-based classifier to classify the vulnerable functions and innocent functions. Then the vulnerable functions are fed to function call graph guided symbolic execution to precisely determine whether they are true vulnerability or not. By the above measures, buffer boundary violations can be detected precisely and efficiently.
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