Identity theft scams exploded in 2025, increasing by approximately 1,400% and leading to some of the largest losses ever in crypto fraud. According to Chainalysis’ analysis, scammers used AI tools, voice cloning, and fake customer support systems to scale up the attacks, pushing the total fraudulent on-chain losses into the double-digit billions.
Identity theft scams increase dramatically
Reports revealed that the increase was not only in the number of cases, but also in the cost of each case to victims. The average amount taken in identity theft schemes increased more than 600% from the previous year, an increase that turned many small scams into major heists. Chainalysis highlights the role of automated tools and commercially available phishing services that allow crooks to run factory-like scams.

Source: Chainalysis
Criminals used AI and deepfakes
Fraudsters have relied heavily on AI techniques in 2025. According to reports, AI-generated clones of voices and faces, coupled with highly credible messages, have helped criminals impersonate stock exchange staff, celebrities, or close contacts. These methods have increased both reach and success rates. Articles and industry analysts show that AI-powered scams were several times more profitable than older approaches.
A high-profile example shows the risk
One public example involved fraudsters posing as a major exchange and taking nearly $16 million from victims in a single transaction. This case made headlines because it showed how quickly identity theft can turn into mass theft when it uses sophisticated fake identities and coordinated social engineering. Financial media and industry insiders used the case to illustrate the change in tactics.
Operations have become industrialized
According to Chainalysis data, fraudulent groups now resemble small businesses. They outsource parts of the fraud chain: writing scripts, purchasing deepfake clips, and hiring money transfer agents. This setup made fraud more efficient and harder to disrupt. One analysis found that AI-assisted systems were approximately 4.5 times more profitable than traditional scams, a gap that attackers exploited to quickly improve their operations.
Estimates of total crypto scam losses for 2025 vary by outlet, but several sources put the figure in the billions. Some trackers have reported $14 billion in funds stolen from the chain, while Chainalysis noted that this figure could rise to $17 billion once new data is tallied. The difference reflects how quickly new incidents were discovered and how some flights veered off public roads.
Featured image from Unsplash, chart from TradingView
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