Scammers and fraudsters have increasingly used impersonation fraud in the past year to crypto to steal from unsuspecting users. According to Chainalysis, the number of reported incidents of impersonation fraud increased by approximately 1.400% in 2025 compared to 2024. This type fraud involves scammers posing as a trusted person or organization to trick their victims into handing over what belongs to them, such as crypto, passwords, and other sensitive information.
Chainalysis' recently published report on crypto scams revealed that fraudsters are diversifying their tactics. They often combine methods from various scams, such as "pig butchering" (where victims are lured into large investments) and investment fraud, with elements of impersonation and social engineering. They also incorporate technical tools or wallet-related fraud to increase their effectiveness.
A disturbing nuance is that the average amount lost to impersonation fraud increased by more than 600% in 2025. This points to a worrying trend that harms not only victims but also the broader crypto ecosystem. One of the most high-profile cases of impersonation fraud occurred in 2025, when scammers posed as the well-known crypto exchange Coinbase and stole nearly $16 million from victims. In December 2025, a suspect was indicted by the Brooklyn District Attorney's Office, who has pleaded not guilty to multiple charges, including grand larceny and money laundering. A trial date has not yet been set.
Artificial intelligence has increased the effectiveness of scams and is one of the drivers of the "industrialization of fraud," according to Chainalysis. Scammers use advanced tools from specialized vendors to deceive victims. Scams that use AI are as much as 4,5 times more profitable than traditional methods, and operations are more efficient, with higher daily revenue and increased transaction volume. This indicates that AI not only improves operational efficiency but also enables a wider range of victims. The increased transaction volume suggests that this technology allows scammers to reach multiple victims simultaneously, a trend that underscores the industrialization of fraud.
The increasing number of scams also shows that AI strengthens the persuasiveness of fraudulent practices.
The rise in fraud has led to increased enforcement actions in 2025, but Chainalysis advocates for authorities to focus more on preventing harm in 2026. This can be achieved through improved detection tools and the wider adoption of real-time fraud detection systems and mules. Equally important is a greater commitment to cross-border cooperation in fraud detection, especially in jurisdictions with limited capacity.
However, there are no silver bullet solutions for tackling such deep-seated, industrial-scale scams. An effective approach requires a multifaceted response. As we enter 2026, it's expected that scammers will further converge their methods and simultaneously employ various tactics and technologies.
It's crucial to never share sensitive information like passwords or key phrases, as a legitimate company would never ask for it. Always assume that every interaction and unsolicited message could be fraudulent, and always verify the authenticity of communications. Proactive behavior and a healthy dose of skepticism can potentially protect victims from the increasingly sophisticated tactics of scammers.
What is impersonation fraud?
Impersonation fraud is a type of scam in which criminals pose as trusted individuals or organizations to deceive victims into sharing sensitive information or crypto.
How does artificial intelligence impact fraud?
Artificial intelligence significantly increases the effectiveness of scams, allowing fraudsters to operate more profitably and reach a wider range of victims through advanced techniques.
What can individuals do to protect themselves from these scams?
It is essential to never reveal sensitive information, be critical of unsolicited communications, and always verify the authenticity of messages to avoid becoming a victim of impersonation fraud.