Web Vulnerability Detection Analyzer Based on Python

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Dawei Xu, Tianxin Chen, Zhonghua Tan, Fudong Wu, Jiaqi Gao, Yunfan Yang
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引用次数: 1

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.
基于Python的Web漏洞检测分析器
在信息时代,黑客会利用Web漏洞渗透网站,造成许多安全事件。为了解决这个问题,有安全意识的企业或个人会对网站进行渗透测试,以测试和分析网站的安全性,但渗透测试通常需要花费大量的时间。因此,本文设计的Web漏洞检测分析器在传统Web漏洞扫描器的基础上,采用子域扫描、应用指纹识别、网页爬行等漏洞检测技术对网站进行渗透。通过日志记录和HTML输出对网站进行漏洞扫描,可以帮助用户在短时间内发现网站的漏洞信息,及时对网站进行修补。它可以降低网站漏洞带来的安全风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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