Abstract
The existence of network vulnerabilities has caused great hidden dangers to the network environment; hence it is necessary to detect and defend them using use appropriate methods. In this study, an automatic detection method was designed for XSS vulnerability by using a web crawler. The URL was crawled by the crawler, and the URL was deduplicated by using the tree-based HASN algorithm. Finally, the vulnerability was detected by simulating the XSS attack. The experiments showed that the method took 0.05s in URL deduplication, the accuracy rate was 89%, and the resource occupancy rate was also low; compared with XSSer, the number of false positives and false negatives of the designed method was smaller and the detection time was shorter. The experimental results verify the effectiveness of the vulnerability detection method designed in this study, making some contributions to its further promotion and application.
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