Explore the world of AI-powered phishing detection in this 51-minute Black Hat conference talk. Dive into the challenges faced by cybersecurity researchers as they combat sophisticated attackers using cutting-edge Machine Learning and Artificial Intelligence techniques. Learn about Recurrent Neural Networks, web certificates, and URL prediction in the context of phishing prevention. Examine data analysis methods, false positives, and retraining strategies. Discover how attackers exploit phishing certificates and employ long name hunting tactics. Gain insights into the effectiveness of current anti-phishing algorithms and their ability to update web certificates. Consider the potential impact of tools like Saltfish on existing detection methods. Understand the real-world implications of AI-simulated phishing attacks and explore strategies to enhance cybersecurity defenses against evolving threats.
Overview
Syllabus
Introduction
Recurrent Neural Network
Web Certificates
Long Name Hunting
Data Analysis
URL Prediction
Attacks are real
Phishing certificates
Directs
Retraining
False positives
Would I be able to render your service inefficient
Does your algorithm update its web certificates
Are you aware of tools similar to Saltfish
Taught by
Black Hat
