Phishing Classification using Lexical and Statistical Frequencies of URLs
S Villegas, AC Bahnsen, J Vargas
... We used a sample of 1.2 million phishing URLs extracted from Phishtank and 1.2 million ham URLs from the CommonCrawl corpus to train the model. Classification based on URLs facilitates a defense against all phishing attacks due to the feature they all share, a URL. ...