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基于行为模式的漏洞检测方法

葛学帅 刘铁铭 谢耀滨 张有为

信息工程大学学报2024,Vol.25Issue(3):315-322,8.
信息工程大学学报2024,Vol.25Issue(3):315-322,8.DOI:10.3969/j.issn.1671-0673.2024.03.010

基于行为模式的漏洞检测方法

Vulnerability Detection Technology Based on Behavior Pattern

葛学帅 1刘铁铭 1谢耀滨 1张有为2

作者信息

  • 1. 信息工程大学,河南 郑州 450001
  • 2. 郑州信大先进技术研究院,河南 郑州 450001
  • 折叠

摘要

Abstract

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.

关键词

漏洞检测/符号执行/内存损坏漏洞

Key words

vulnerability detection/symbol execution/memory corruption vulnerability

分类

信息技术与安全科学

引用本文复制引用

葛学帅,刘铁铭,谢耀滨,张有为..基于行为模式的漏洞检测方法[J].信息工程大学学报,2024,25(3):315-322,8.

基金项目

河南省科技攻关项目(222102210260) (222102210260)

信息工程大学学报

1671-0673

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