An Efficient Analysis Technique to Detect Suspicious Web Pages in Real-Time

Abstract

eb has turned into a valuable piece of our general everyday life as we do the greater part of our social and monetary exercises on the web. Today every people are vigorously relying upon web and online exercises, for example, web-based shopping, web-based Banking, internet booking, online Recharge and some more. Phishing is a type of web risk, phisher make the copy of unique site and wrongfully endeavor to get Victim's own data like client name, secret key, Mastercard points of interest, SSN number and utilize it for possess advantage. A Non-customary client can't recognize whether site is phished or authentic. There is no any single answer for stop this fake movement. System can use the static features of a webpage to determine the genuineness of the website. The features such as number of iframe present in the page, number of redirections after clicking the URL, availability of JavaScript and embedded JS, special and extra characters included in the URL address etc. We have extracted such feature from testing site and those features are analyzed with the features of site present in the dataset. System has processed the structure of about One lakh site and trained to determine the suspicious webpage. System is attached to the browser as its extension to verify the URL entered by the user and it determines whether that site is suspicious or not.