Abstract: The present disclosure discloses a method of identifying malicious websites. The method includes: filtering a target website using a local website-filtering list; if the target website is not on the local website-filtering list, filtering the target website using a server website-filtering list. The present disclosure also discloses, based on the above-described method, a system for identifying malicious websites. By using the disclosed malicious website identifying method and system, the number of times needed to access a network to identify malicious websites can be reduced effectively. That is, the number of times that the identification calculation is performed by a network server can be reduced and, thus, increasing the speed of the identification process and reducing network traffic. As a result, the efficiency of the malicious website identifying process can be improved.

Abstract: The present disclosure discloses a method of identifying malicious websites. The method includes: filtering a target website using a local website-filtering list; if the target website is not on the local website-filtering list, filtering the target website using a server website-filtering list. The present disclosure also discloses, based on the above-described method, a system for identifying malicious websites. By using the disclosed malicious website identifying method and system, the number of times needed to access a network to identify malicious websites can be reduced effectively. That is, the number of times that the identification calculation is performed by a network server can be reduced and, thus, increasing the speed of the identification process and reducing network traffic. As a result, the efficiency of the malicious website identifying process can be improved.