According to Chainalysis research, in 2025 social engineering attacks accounted for approximately 65% of cryptocurrency theft cases investigated, with total global crypto fraud losses reaching $17 billion. AMLBot data confirmed this trend, while researchers identified six primary attack vectors: phishing attacks, identity impersonation fraud, SIM card hijacking, investment/romance scams, AI-driven fraud, and giveaway scams.
Specific attack breakdowns show significant variations in impact: phishing attacks caused approximately $306 million in losses during the first quarter of 2026, identity impersonation fraud clusters grew roughly 1,400% year-over-year, SIM card hijacking resulted in approximately $410 million in 2025 losses, and investment scams represented the largest category at approximately $7.2 billion in losses. AI-enabled fraud demonstrated disproportionate effectiveness, with Chainalysis data showing an average profit of approximately $3.2 million per operation, roughly four times higher than traditional fraud schemes.