Improved Method for Web Crawler-based Cross-site Detection
Yong Fang · Information Security and Communications Privacy · 2012
Cross-site attack,usually created at the input interface of the user and dynamic website interaction, could damage the safety of network computer system and steal the user's privacy. In order to prevent the attack,Web crawler-based cross-site detection is used to check the user-access site and see whether there are cross-station holes or malicious codes. By analyzing the working principle,and performance of existing cross-site vulnerability testing tools,a cross-site loophole detection method based on dynamic weighted restructuring of vocabulary is proposed, called LDWR-XD. The method is remarkably improved in web grab,attack code detection and other modules. Finally,the test results show that the system is fairly feasible and practicable.