System and method of creating a classifier for detecting phishing sites using dom hashes

Abstract

Disclosed herein are systems and methods for creating a classifier for detecting phishing sites using Document Object Model (DOM) hashes. In one aspect, an exemplary method comprises: parsing each page of the website, wherein the parsing includes at least generating a DOM tree of the page, for each page, generating at least one string of DOM tree elements according to predetermined patterns, creating a first hash based on the string, creating a second hash for the page, generating a first dataset comprising hashes of safe pages and a second dataset comprising hashes of phishing pages, analyzing the first and second datasets to determine whether there is diversity of data in each dataset, generating a training sample from the datasets when there is diversity of data, and training a classifier of a machine learning model based on the training sample generated from the first and second datasets.