Web Vulnerability Detection Analyzer Based on Python']Python

被引：0
|
作者：
Xu, Dawei [1 ]
Chen, Tianxin [2 ]
Tan, Zhonghua [3 ]
Wu, Fudong [2 ]
Gao, Jiaqi [2 ]
Yang, Yunfan [2 ]
机构：
[1] Changchun Univ, Coll Cybersecur, Changchun, Peoples R China
[2] Changchun Univ, Cyberspace Secur, Changchun, Peoples R China
[3] Hainan Normal Univ, Sch Int Educ, Haikou, Hainan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS | 2022年 / 14卷 / 02期
关键词：
Fingerprint Recognition; Network Security; Penetration Test; Subdomain Scanning; Vulnerability Scanning; Web Crawler; Web Security; Web Vulnerability;
D O I：
10.4018/IJDCF.302875
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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 subdomain 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 and patch the website in time. It can reduce the security risks caused by website vulnerabilities.
引用
收藏
页数：17
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