Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Design and Implementation of Dynamic and Efficient Web Crawler for XSS Vulnerability Detection

Authors
Ao Chai
Corresponding Author
Ao Chai
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.230How to use a DOI?
Keywords
Crawler; Parallel; XSS; Vulnerability
Abstract

With the continuous development of Web technology and the sustained popularization of the Internet, the security problems of the Web has been attracting more and more attention from the network workers. According to the OWASP (Open Web Application Security Project), XSS (Cross-Site Scripting) has been among the top three vulnerabilities in a number of threats. Therefore, it is very meaningful to design XSS vulnerability automatic mining tools. Crawler, as a web data scratching tool, has been favored by search engine workers. In this paper, we introduce a dynamic parallel crawler aiming for XSS vulnerability detection, and the basic principle of XSS. Based on them, we designed an efficient XSS detection tool. Finally, an experiment shows that our tools can detect XSS vulnerabilities efficiently.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.230
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.230How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ao Chai
PY  - 2017/04
DA  - 2017/04
TI  - Design and Implementation of Dynamic and Efficient Web Crawler for XSS Vulnerability Detection
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1169
EP  - 1176
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.230
DO  - 10.2991/icmmct-17.2017.230
ID  - Chai2017/04
ER  -