1. Which fraud type caused the biggest losses in FBI complaints for 2025?
Answer: Investment fraud — USD 8.65 billion. Investment fraud led the IC3 table. Reported ransomware losses were about USD 32 million.
2. Which crime type drew the most complaints to the FBI in 2025?
Answer: Phishing and spoofing. Phishing and spoofing led with 191,561 complaints. BEC had far fewer complaints but much higher losses per case.
3. What did tech-support scams cost US victims in 2025?
Answer: About USD 2.1 billion. Tech and customer-support scams were third by losses at USD 2.13 billion, mostly hitting consumers.
4. How many US organisations faced attempted or actual payments fraud in 2025, according to the AFP survey?
Answer: About three in four. 76% of US firms reported payments fraud attempts or losses, and BEC was the most common route.
5. FBI-reported losses to government-impersonation scams in 2025:
Answer: About USD 800 million. Fake officials took USD 800 million from US victims, nearly all consumers.
6. In the UK, CEO-fraud losses in 2025 went:
Answer: Down to record lows. UK Finance reported that invoice, mandate, CEO and impersonation scam losses fell to record lows in 2025. Attackers shift as businesses add controls.
7. In 2020, “redirection” scams — invoice, mandate, CEO and impersonation fraud — were over half of UK push-payment losses. In 2025 they were:
Answer: Under a quarter. Better call-back controls cut its share. Fraud moved to other routes rather than disappearing.
8. In Singapore in 2025, which scam type caused the largest losses?
Answer: Investment scams. Investment scams led, followed by government-official impersonation and job scams (Singapore Police).
9. Romance and confidence scams in the 2025 FBI figures:
Answer: About USD 930 million. Romance scams cost USD 930 million — slow-building trust is still one of the most expensive scams.
10. What do the top-loss scams in every region have in common?
Answer: They persuade people to send money themselves. Investment, BEC, fake officials and romance scams all manipulate a person into authorising the payment.