AI Model Spots Spoofed Website Addresses With Up to 99% Accuracy
A hybrid deep-learning model published in the International Journal of Electronic Security and Digital Forensics reports 98.9% accuracy on one phishing benchmark and 96.8% on another, reading a web address purely as a string of characters. This article takes the study as published, converts its percentages into the error volumes a security team would actually feel, explains what the convolutional and long short-term memory halves each contribute, maps the spoofing techniques a string classifier can and cannot see, and flags the twenty-six months between the paper’s submission and its publication.
