Data-Driven Analysis of Threat Actor Behavior

This technical report presents a comprehensive analysis of threat actor behavior, focusing on the tactics and strategies employed by scammers. It outlines the motivations behind scams, emphasizing the three-part mindset of motive, opportunity, and rationalization that drives these actors. The report analyzes nearly 20 billion malicious attack traffic patterns, revealing that scammers often abandon targets when the return on investment (ROI) drops below certain thresholds. It details various attack types, mechanisms, and entry points, providing actionable intelligence for security leaders to predict and disrupt scammer activities. The report also highlights the evolving nature of scams, including sophisticated techniques used in ticket botting and the exploitation of 'Buy Now, Pay Later' services. By understanding the behaviors and methods of scammers, enterprises can implement advanced security solutions to increase intrusion costs and reduce opportunities for fraud, ultimately enhancing consumer protection and securing digital transactions.