Web Vulnerability Detection Analyzer Based on Python

Dawei Xu, Tianxin Chen, Zhonghua Tan, Fudong Wu, Jiaqi Gao, Yunfan Yang

Source Title: International Journal of Digital Crime and Forensics (IJDCF)14(2)

ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781668466308|DOI: 10.4018/IJDCF.302875

MLA

Xu, Dawei, et al. "Web Vulnerability Detection Analyzer Based on Python." IJDCF vol.14, no.2 2022: pp.1-17. http://doi.org/10.4018/IJDCF.302875

APA

Xu, D., Chen, T., Tan, Z., Wu, F., Gao, J., & Yang, Y. (2022). Web Vulnerability Detection Analyzer Based on Python. International Journal of Digital Crime and Forensics (IJDCF), 14(2), 1-17. http://doi.org/10.4018/IJDCF.302875

Chicago

Xu, Dawei, et al. "Web Vulnerability Detection Analyzer Based on Python," International Journal of Digital Crime and Forensics (IJDCF) 14, no.2: 1-17. http://doi.org/10.4018/IJDCF.302875

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

In the information age, hackers will use Web vulnerabilities to infiltrate websites, resulting in many security incidents. To solve this problem, security-conscious enterprises or individuals will conduct penetration tests on websites to test and analyze the security of websites, but penetration tests often take a lot of time. Therefore, based on the traditional Web vulnerability scanner, the Web vulnerability detection analyzer designed in this article uses vulnerability detection technologies such as sub-domain scanning, application fingerprint recognition, and web crawling to penetrate the website. The vulnerability scanning process of the website using log records and HTML output helps users discover the vulnerability information of the website in a short time, patch the website in time. It can reduce the security risks caused by website vulnerabilities.