Systems and methods for identifying brands utilized in website phishing campaigns

Abstract

A computer-implemented method for identifying brands utilized in website phishing campaigns may include (i) capturing a website screenshot including visual elements representing a potential phishing vulnerability, (ii) transforming, utilizing a deep learning model, the website screenshot into an image representation including embeddings, (iii) determining whether the transformed website screenshot matches a dataset including reference transformed website screenshots representing previously identified brands utilized in phishing campaigns, (iv) clustering, upon determining a mismatch between the transformed website screenshot and the dataset, the transformed website screenshot with other transformed website screenshots sharing the visual elements representing the potential phishing vulnerability and one or more visual similarities, and (v) performing, based on the clustering, a security action that protects against potential phishing attacks by extracting brand information for adding to the dataset. Various other methods, systems, and computer-readable media are also disclosed.