At intelligently system for fish Detection, Using dynamic analysis and Template Matching
Phishing, or stealing OF sensitive information on the Web, has dealt A major blow ton Internet Security in recent times. Most OF the existing anti- phishing solutions fail ton acts the fuzziness involved in phish detection, thus leading ton of A large NUMBERs OF false positive. This fuzziness is attributed ton the use OF highly flexible and RK the same time, highly ambiguous HTML LANGUAGE. It of introduces A new perspective against phishing, that tries ton systematically prove, whether A given PAGE is phished or emergency, using the corresponding original PAGE as the basis OF the comparison. It analyzes the layout OF the pages more under consideration ton determine the percentage distortion between them, indicative OF any form OF malicious old ration.