An Integrated Vulnerability Scanning System Based on Machine Learning Joint Crawler Algorithm
This paper designs an integrated vulnerability scanning system.The system proposes to integrate machine learning crawler algorithms for intelligent crawling of URL,on the basis of which it carries out intranet segment discovery and intranet live hosts,passes the acquired live hosts to the port scanning module,the port scanning will scan the ports open to each live host,obtains the running services according to the ports,passes them to the corresponding service module for detailed service vulnerability scanning and service username and password bursting,and finally forms a complete vulnerability report.The final result is a complete vulnerability report.All modules are externally independent and can be invoked individually or automated with one click.
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