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Web Vulnerability Detection Analyzer Based on Python
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Author(s): Dawei Xu (Changchun University, China), Tianxin Chen (Changchun University, China), Zhonghua Tan (Hainan Normal University, China), Fudong Wu (Changchun University, China), Jiaqi Gao (Changchun University, China)and Yunfan Yang (Changchun University, China)
Copyright: 2022
Volume: 14
Issue: 2
Pages: 17
Source title:
International Journal of Digital Crime and Forensics (IJDCF)
Editor(s)-in-Chief: Feng Liu (Chinese Academy of Sciences, China)
DOI: 10.4018/IJDCF.302875
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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.
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