Abstract: In this study, we propose a website forgery/falsification detecting system that uses link information and images to detect website forgery/falsification. The proposed system first checks the URL address of each financial site to see whether the URL address is a normal one when the user accesses the financial site. Second, the proposed system collects images and web page link information of the page and compares them with normal web page information which is saved in previous to detect whether the site is abnormal. Third, the proposed system repeats the second phase while following the sub web pages linked in the page. As the number of sub page comparisons increases, the accuracy of detection is also increased.