In this paper, we propose a forgery/falsification detection system of website using images. The system captures images of the website when a user accesses to the forgery/falsification website that has the financial information stealing purpose. The captured images are compared withthose of normal website images to detect forgery/falsification. The detection system calculates similarity factor of normal site image with captured one to detect whether the site is normal or not. If it is determined as normal, analysis procedure is finished. But if it is determined as abnormal,a warning message is sent to the user to prevent additional financial information spill and further accident from the forgery/falsification website.
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