Research on Web Application Vulnerability Scanning System based on Fingerprint Feature

DOI

10.2991/mecae-17.2017.27How to use a DOI?

Keywords

Web Application; Fingerprint Feature; Wappalyzer; KMN Algorithm; Vulnerability Scanning.

Abstract

In view of the existing network vulnerability scanning system does not distinguish between the characteristics of web applications, but in accordance with a single strategy to scan, resulting in scanning efficiency and accuracy is low, the scan results are not comprehensive and so on. In this paper, we propose a web application vulnerability scanning system based on fingerprint feature, in which Wappalyzer technology is used to extract the fingerprint feature of web application. Then, we use the Euclidean distance KMN algorithm to match the fingerprint data in the fingerprint database. Finally, through the comparative analysis of the experiments, the efficiency of the system is improved by 3% and the precision is improved by 6% in the process of vulnerability scanning for 1000 websites. The results show that the performance of the system is improved by 6%, which proves the superiority of the system.

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/).

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TY  - CONF
AU  - Hao He
AU  - Lulu Chen
AU  - Wenpu Guo
PY  - 2017/03
DA  - 2017/03
TI  - Research on Web Application Vulnerability Scanning System based on Fingerprint Feature
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 150
EP  - 155
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.27
DO  - 10.2991/mecae-17.2017.27
ID  - He2017/03
ER  -