Methods and systems for identifying phishing attacks

Abstract

Provided are systems, software, and methods for phishing analysis and detection. The provided systems, software, and methods may comprise interfaces configured to capture and scan network session activity in real-time to detect a phishing attack using a set of trained machine learning classifiers, detect a phishing attach, classify the attack into one or more phishing classes, block the phishing attack and provide a safe preview of the blocked phishing attack. The machine learning classifiers may be deployed remotely. The systems, software, and methods may further comprise a web application programing interface configured to integrate the one or more analysis interfaces into at least one external software or application.

CPC Classifications