Ban evasion poses a significant challenge to platform integrity as problematic users, once banned, often return with new accounts and tactics, transforming moderation into a relentless cycle. Fraudsters employ a variety of methods such as IP rotation, device spoofing, alternate account creation, and behavioral camouflage to bypass basic defenses like IP and cookie-based bans. These tactics highlight the insufficiency of traditional methods in stopping determined evaders, necessitating more sophisticated approaches. Effective detection requires a layered strategy combining device intelligence, behavioral analysis, and automated systems, with tools like Fingerprint offering a comprehensive solution by generating unique visitor IDs that remain consistent despite superficial changes, thus enabling platforms to link new accounts to banned devices. Enhanced detection systems also incorporate Smart Signals to identify suspicious behaviors and allow fraud teams to build detailed risk profiles, ensuring a more robust defense against evolving evasion strategies.