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substantial financial losses in the cryptocurrency sector, with AI-generated deepfakes playing a significant role, according to a recent report.

Deepfake AI-generated scams resulted in cryptocurrency losses of $4.6 billion in the past year, prompting Bitget and associates to establish a $300 million fund aimed at dismantling fraudulent networks.

Last year, the financial impact of AI-powered deepfake crypto scams reached an alarming milestone...
Last year, the financial impact of AI-powered deepfake crypto scams reached an alarming milestone of $4.6 billion. In response, Bitget and its allies plan to launch a $300 million fund aimed at dismantling fraudulent organizations.

substantial financial losses in the cryptocurrency sector, with AI-generated deepfakes playing a significant role, according to a recent report.

In the fast-paced world of cybersecurity, it's become painfully clear that cryptocurrency scams have been on a rampage in 2024. They've grown bolder and smarter, employing artificial intelligence (AI) to con their victims. These are the top scams you need to watch out for:

Unsavory Scams Tainting the Crypto Space

Deepfake Deception

Cunning criminals have started using AI-generated deepfake videos to create believable impersonations of public figures like Elon Musk. These fakes promote fake investments on social media platforms, defrauding unsuspecting victims. In a high-profile heist in 2024, a syndicate in Hong Kong stole a whopping $34 million using deepfakes.

Sneaky Manipulations

AI is also being used to outsmart security measures. Scammers manipulate KYC procedures, forge customer service chats, and simulate platform dashboards to gain victim’s trust. Even Zoom meetings aren't safe; scammers send fake invitations with links to malicious software.

Psychological Warfare

Social engineering remains a major threat in the crypto space, exploiting people's psychological vulnerabilities. AI-powered chatbots and automated scripts are being used to enhance social engineering scams, making them more efficient and hard to spot. Scammers use tactics such as promising easy profits through fake interfaces, Trojan-laced job offers, phishing links, and address poisoning.

Colorful Schemes Masquerading as Finance

Modern Ponzi schemes have evolved, showing up as legitimate decentralized finance (DeFi), NFT, and GameFi projects. The 2023 JPEX incident in Hong Kong is a prime example. The platform posed as a "global cryptocurrency exchange" with "high and stable returns" but was actually a scam, leading to over $213 million in losses from a wave of disgruntled investors.

The Fight Against Cryptocurrency Scams

To counter the escalating threat, Bitget, SlowMist, and Elliptic have announced the launch of an Anti-Scam Hub. This initiative aims to track illicit funds, disrupt phishing networks, and identify deceptive behavior across blockchains. The fight against fraud has never been more crucial:

"Criminals are constantly evolving their methods of attack, using AI and finding new ways to scale their activities," says Arda Akartuna, Lead Crypto Threat Researcher at Elliptic. "This means that reciprocally, we are also working to scale our technology and blockchain capabilities to track and identify the new methods criminals are using."

The alliance has also committed a protection fund worth more than $300 million to mitigate user risks. Stay vigilant out there, crypto enthusiasts!

  1. In an effort to combat the increasing use of artificial intelligence (AI) in cryptocurrency scams, three organizations, Bitget, SlowMist, and Elliptic, have launched an Anti-Scam Hub to track illicit funds, disrupt phishing networks, and identify deceptive behavior across blockchains.
  2. The world of finance is not immune to the influence of blockchain technology, with modern Ponzi schemes often disguising themselves as legitimate decentralized finance (DeFi), NFT, and GameFi projects, as seen in the 2023 JPEX incident in Hong Kong.
  3. AI is being employed not only by scammers in the crypto space but also by security experts, as witnessed in the use of AI-powered chatbots and automated scripts for detecting and countering deceptive activities, reflecting the ongoing war between legitimate actors and cybercriminals in the digital finance landscape.

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