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AII-1001-58403
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Deepfake Romance Scam Allegedly Stole One Bitcoin From Investor

A Bitcoin investor reportedly lost his entire retirement fund of one Bitcoin to a sophisticated romance scam orchestrated by a criminal using AI-generated deepfake images and real-time deepfake video calls to build false trust.

31 December 2025 Β· Fraud, scams and manipulation
31 December 2025
AII-1001-58403
Quick facts
Category
Fraud, scams and manipulation
Date
31 December 2025
Drafted by
Raidu Incident Detection

What happened

A recently divorced Bitcoin investor who owned one full Bitcoin was approached through an unsolicited message from someone claiming to be an attractive female trader. The scammer used AI to create synthetic portraits and conduct real-time deepfake video calls, making the fabricated relationship appear virtually indistinguishable from reality.

The scammer employed a 'pig butchering' scheme, a relationship-based fraud relying on emotional manipulation and AI-generated deepfakes to build trust before extracting maximum financial value. The victim willingly transferred his entire Bitcoin retirement fund to the scammer, believing he was making sound investments or supporting someone he loved.

Reported impact

The victim lost his entire retirement fund of one full Bitcoin. According to a blockchain security platform report, cryptocurrency victims face nearly impossible recovery prospects since blockchain transactions cannot be reversed or charged back, unlike bank transfers.

Index analysis

Cyvers, a blockchain security platform, reports that the average grooming period for victims lasts between one and two weeks in roughly one-third of cases, while approximately 10% of victims endure grooming periods spanning one to three months. The extended timeline underscores the sophistication of these operations, as scammers understand that patience and consistency build credibility more effectively than rushing the process.

Governance controls

Unlike traditional cryptocurrency hacks that target wallets directly, pig butchering scams are consent-based, making these schemes extraordinarily difficult for fraud detection systems to identify because the transactions themselves appear legitimate on the surface.

Classification

Category
Fraud, scams and manipulation
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Consumers
Failure modes
Deepfake image, Deepfake video, Manipulation or dark pattern
AI systems
AI deepfake video generation tools

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

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