Published • loading... • Updated
Watford man among gang jailed over £4 million cryptocurrency fraud
The gang used fake police websites and false warnings to steal crypto from at least 8 victims, while police recovered about £1 million.
- On Thursday, July 16, Southwark Crown Court sentenced Anthony Ikenwe, Kevin Nwamma, and Hamza Bashir for orchestrating a £4 million cryptocurrency fraud by impersonating police officers to deceive at least eight victims.
- Using convincing fake police websites, the gang tricked victims by claiming their cryptocurrency accounts were at risk, persuading them to transfer funds into what they believed were secure police-controlled wallets.
- Investigators discovered the men funded extravagant lifestyles despite one reporting an annual income of just £444, including luxury holidays and designer shopping at Harrods, plus a car worth almost £60,000.
- Ikenwe and Nwamma received six-year sentences, while Bashir was jailed for three years and nine months; officers recovered around £1 million in victim-linked funds and seized luxury goods worth over £26,000.
- Detective Inspector Geoff Donoghue of the Met Police stated, "Criminals should be under no illusion – policing is evolving alongside technology," as the Metropolitan Police continues working with international partners to identify others involved.
Insights by Ground AI
18 Articles
18 Articles
Crypto fraudster jailed after arrested naked in bed for pocketing £4m in 'fake police scam'
A crypto fraudster who was arrested naked in bed after pocketing £4million in a "fake police scam" has been jailed. Kevin Nwamma, 25, looked stunned as Metropolitan Police officers entered his bedroom in Watford in November, handcuffing him naked. Nwamma, alongside Anthony Ikenwe, 29 and Hamza Bashir, 23, operated a scam where they impersonated police officers and defrauded eight people of more than £4million in cryptocurrency.The gang were sent…
·London, United Kingdom
Read Full Article
Coverage Details
Total News Sources18
Leaning Left1Leaning Right2Center9Last UpdatedBias Distribution75% Center
Bias Distribution
- 75% of the sources are Center
75% Center
C 75%
R 17%
Factuality
To view factuality data please Upgrade to Premium
