Do Attackers Use Algorithms to Evade ML - An In-the-Wild Phishing Case Study

Explore a 49-minute conference talk from RSA Conference examining how phishers evade machine learning-based anti-phishing detectors. Delve into a study of evasive phishing sites in the wild, trends from 5 years of ML phish evasion competitions, and 11 tactics currently employed by phishers. Analyze the use of automated adversarial-attack creation in phishing attempts. Learn from presenters Dr. Hyrum Anderson, Distinguished Engineer at Robust Intelligence, and Dr. Kevin Roundy, Senior Technical Director at Norton Innovation Labs, as they discuss the ongoing threat of phishing to enterprise security and the clever techniques attackers use to bypass deep learning-powered defenses.

Do Attackers Use Algorithms to Evade ML? An In-the-Wild Phishing Case Study