基于行为模式的漏洞检测方法OA

Existing vulnerability detection approaches based on symbolic execution still suffer from limitations such as a restricted range of detectable vulnerability types and imprecise characterization of the detected vulnerabilities.In this paper,we propose a generic vulnerability detection method based on behavioral patterns by analyzing in-depth the formation causes and behavioral patterns of common memory corruption vulnerabilities.This approach covers a wider range of vulnerability types and can automatically identify the type of the detected vulnerability.Furthermore,we design and implement an automated vulnerability detection framework and experimentally verify its effectiveness.Our study is of significance and value in improving network security capabilities.