RBL Global Toolbar with Clustering Algorithm for Fake Website Detection

Phishing is a current social engineering attack that results in online identity theft. Phishing web pages generally use similar page layouts, font styles, key regions, and blocks to mimic genuine pages in an effort to convince internet users to divulge personal information, such as bank account numbers and passwords. So, the existing anti phishing techniques uses the text and image based comparisons of the contents in those web pages. Here a novel technique that is RBL GLOBAL TOOL BAR which visually compares a suspected phishing page, by capturing the snapshot of the web page and comparing with three important modules Whitelist, Blacklist and CCH clusters. An experimental evaluation for a dataset of 200 real world phishing pages, along with their corresponding legitimate targets has been performed. The experimental result shows no false positives and 1% false negatives. Key Workds : RBL Global, Black List, White List, Kmeans++, CCH,