Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2458-2463

XSS vulnerability detection technology based on EBNF and twice crawling strategy

Huang Wenfeng1
Li Xiaowei2
Huo Zhanqiang2
1. Henan Provincial Institute of Scientific & Technical Information, Zhengzhou 450003, China
2. College of Computer Science & Technology, Henan Polytechnic University, Jiaozuo Henan 454000, China
DOI: 10.19734/j.issn.1001-3695.2018.02.0170

Abstract

Cross-site scripting(XSS) attacks have been one of the biggest threats to Internet security. Aiming at the problems of traditional vulnerability detection method based on penetration testing technology, such as attack vectors of low complexity easy to filter and overall detection process cumbersome, this paper proposed a new attack vectors automatic generation method which based on extended Backus-naur form(EBNF) and a XSS vulnerability twice crawling strategy. By defining the EBNF rule, the method generated a rule-parsing tree, and then it traversed hierarchically the tree to obtain high-complexity attack vectors. In the first page crawling, the strategy inserted input point information to attack vectors and requested injection. Then it carried on the second crawling and requested legal parameters to get the return page. In the final, this paper designed and implemented a prototype system, and used two platforms for vulnerability detection. The comparative experiments prove that the system has a simple detection process, and to a certain extent, it improves the number of vulnerability detection and reduces the false positive rate.

Foundation Support

国家自然科学基金资助项目(61472342,61572379)
河南省高等学校重点科研计划项目(17A520007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0170
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Software Technology Research
Pages: 2458-2463
Serial Number: 1001-3695(2019)08-046-2458-06

Publish History

[2019-08-05] Printed Article

Cite This Article

黄文锋, 李晓伟, 霍占强. 基于EBNF和二次爬取策略的XSS漏洞检测技术 [J]. 计算机应用研究, 2019, 36 (8): 2458-2463. (Huang Wenfeng, Li Xiaowei, Huo Zhanqiang. XSS vulnerability detection technology based on EBNF and twice crawling strategy [J]. Application Research of Computers, 2019, 36 (8): 2458-2463. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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