Recently, cyberattacks are increasing in social engineering attacks using intelligent and continuous phishing sites and h acking techniques using malicious code. As personal security becomes important, there is a need for a method and a soluti on for determining whether a malicious URL exists using a web application. In this paper, we would like to find out each feature and limitation by comparing highly accurate techniques for detecting malicious URLs. Compared to classification al gorithm models using features such as web flat panel DB and based URL detection sites, we propose an efficient URL an omaly detection technique.