网络爬虫
计算机科学
漏洞管理
脆弱性(计算)
Python(编程语言)
可扩展性
Web应用程序
互联网
脆弱性评估
软件
扫描仪
万维网
计算机安全
数据库
操作系统
人工智能
心理弹性
心理治疗师
心理学
作者
Jianxun Tang,Fang Zhou
标识
DOI:10.1109/cisai54367.2021.00155
摘要
With the rapid development of the Internet, Web security issues have become more and more prominent. A series of problems exist on Web vulnerability scanners in the market such as insufficient scanning accuracy, large software, low scalability and so on. Therefore,this article written on the basis of crawler technology, Web vulnerability and its detection technology improved optimization algorithm, based on the CMS recognition, port, plug-in technology as the guide, to realize accurate, non-response rates in vulnerability scanning flat cases vulnerability scanning growth above 10%, and can real-time update by the development of vulnerability of high-performance Web vulnerability scanner, help enterprises to avoid vulnerability risk to a large extent.
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