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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.

Research on Web Application Vulnerability Scanning System based on Fingerprint Feature