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    Home»Crypto News»AI Deepfakes Drove 40% of Excessive-Worth Crypto Fraud Final 12 months: Report – Decrypt
    AI Deepfakes Drove 40% of Excessive-Worth Crypto Fraud Final 12 months: Report – Decrypt
    Crypto News

    AI Deepfakes Drove 40% of Excessive-Worth Crypto Fraud Final 12 months: Report – Decrypt

    By Crypto EditorJune 16, 2025No Comments4 Mins Read
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    AI Deepfakes Drove 40% of Excessive-Worth Crypto Fraud Final 12 months: Report – Decrypt

    Briefly

    • AI deepfakes of celebrities, authorities officers, and extra accounted for 40% of “high-value” crypto fraud in 2024, a Bitget report claimed.
    • Crypto rip-off losses reached $4.6 billion in 2024, representing a 24% enhance from earlier 12 months.
    • Social engineering schemes ranked as second-most harmful crypto fraud methodology, adopted by trendy Ponzi schemes.

    AI-generated deepfake impersonations of presidency officers, billionaires, and celebrities accounted for 40% of “high-value frauds” in 2024, a Bitget report revealed.

    That very same 12 months, $4.6 billion in crypto was misplaced to scams, a 24% enhance from the earlier 12 months, Bitget’s Anti-Rip-off Report 2025—co-authored with Slowmist and Elliptic—discovered.

    “Crypto scams have entered a brand new period—pushed by AI deepfakes, social engineering, and misleading challenge fronts,” the report mentioned. “Scams now exploit belief and psychology as a lot as expertise. From pockets takeovers to multimillion-dollar frauds, the assaults have gotten extra customized, extra plausible, and more durable to detect.”

    A “frequent” deepfake that appeared, in line with the report, featured Tesla CEO Elon Musk pitching fraudulent funding or giveaway schemes. Different makes use of for deepfakes embody bypassing know-your-customer verification, creating digital identities to guide funding scams, and conducting faux Zoom phishing assaults.

    The Zoom rip-off sees scammers impersonate executives, specialists, and journalists—together with Decrypt reporters—to get a sufferer on a fraudulent video name. This will likely see the attacker provide the sufferer a job or ask to interview them for a non-existent article. In the course of the faux Zoom name, attackers can acquire management of the sufferer’s pc, steal knowledge, and doubtlessly entry non-public crypto keys. 

    Bitget reviews that in some circumstances, the attackers are utilizing deepfake instruments to generate video and audio content material to trick the sufferer into becoming a member of the decision.

    Many of those deepfake scams aren’t new; the Elon Musk rip-off first went viral in 2022. Nonetheless, with the fast acceleration of synthetic intelligence, deepfakes have began to look actual. A lot in order that President Trump signed the bipartisan Take It Down Act final month that protected the victims of deepfake porn—though, deepfakes usually nonetheless aren’t prohibited. 

    In Might, actor Jamie Lee Curtis known as out Meta CEO Mark Zuckerberg after discovering a faux AI-generated advert of herself selling a product with out her consent.

    “The largest menace to crypto at the moment isn’t volatility—it’s deception,” Bitget CEO Gracy Chen mentioned, in a launch. “AI has made scams sooner, cheaper, and more durable to detect.”

    Outdoors of deepfakes, social engineering and trendy Ponzi schemes ranked second and third because the report’s “most harmful” scams. 

    By definition, social engineering scams exploit the psychology of victims in a technique that’s “low-tech, but extremely efficient,” the report says. Probably the most widespread examples is the pig butcher rip-off, additionally known as a romance rip-off, which sees the attacker develop a relationship with the sufferer solely to rip-off them.

    As for the ol’ basic Ponzi scheme—named after the early twentieth century scammer Charles Ponzi—the report claims that the rip-off has gone by means of a “digital evolution.”

    “These scams sometimes disguise themselves in new ideas like DeFi, NFTs, and GameFi, packaged as challenge fundraising, liquidity mining, or platform token staking,” the report states. “Basically, they continue to be basic Ponzi schemes the place ‘new cash fills previous holes.’ As soon as the money stream breaks or the operators money out and exit, your entire system collapses rapidly.”

    The report notes an increase in Ponzi schemes that undertake “game-like person interfaces” and use deepfakes to forge endorsements from celebrities to spice up credibility within the scheme. AI has revolutionized the scamming trade, leading to a markedly completely different panorama from just some years in the past.

    “5 years in the past, avoiding scams meant ‘don’t click on suspicious hyperlinks,'” the report completed. “In the present day, it’s ‘don’t belief your personal eyes.'”

    Edited by James Rubin

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