• bitcoinBitcoin (BTC) $ 42,977.00 0.18%
  • ethereumEthereum (ETH) $ 2,365.53 1.12%
  • tetherTether (USDT) $ 1.00 0.2%
  • bnbBNB (BNB) $ 302.66 0.19%
  • solanaSolana (SOL) $ 95.44 1.28%
  • xrpXRP (XRP) $ 0.501444 0.1%
  • usd-coinUSDC (USDC) $ 0.996294 0.34%
  • staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
  • cardanoCardano (ADA) $ 0.481226 2.68%
  • avalanche-2Avalanche (AVAX) $ 34.37 1.19%
  • bitcoinBitcoin (BTC) $ 42,977.00 0.18%
    ethereumEthereum (ETH) $ 2,365.53 1.12%
    tetherTether (USDT) $ 1.00 0.2%
    bnbBNB (BNB) $ 302.66 0.19%
    solanaSolana (SOL) $ 95.44 1.28%
    xrpXRP (XRP) $ 0.501444 0.1%
    usd-coinUSDC (USDC) $ 0.996294 0.34%
    staked-etherLido Staked Ether (STETH) $ 2,367.26 1.4%
    cardanoCardano (ADA) $ 0.481226 2.68%
    avalanche-2Avalanche (AVAX) $ 34.37 1.19%
image-alt-1BTC Dominance: 58.93%
image-alt-2 ETH Dominance: 12.89%
image-alt-3 BTC/ETH Ratio: 26.62%
image-alt-4 Total Market Cap 24h: $2.51T
image-alt-5Volume 24h: $144.96B
image-alt-6 ETH Gas Price: 5.1 Gwei
 

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Meta Deleted 6.8 Million WhatsApp Accounts

Meta Deleted 6.8 Million WhatsApp Accounts in Massive Anti-Fraud Crackdown

Adnan Al-Jaziri

Meta deleted 6.8 million WhatsApp Accounts in the first half of 2025, marking the platform’s largest action against criminal networks using AI for scams.

This coordinated effort targeted sophisticated fraud schemes, particularly those known as “pig butchering,” which rely on building false trust before soliciting fake cryptocurrency investments.

The company collaborated with OpenAI to track and dismantle operations based largely in Southeast Asia. Many of these networks exploit vulnerable workers under conditions described as modern slavery. Criminals in Myanmar, Cambodia and Thailand have turned such schemes into billion-dollar industries.

AI Used for Both Protection and Exploitation

WhatsApp has integrated machine learning to detect suspicious patterns before scammers can fully operationalise accounts. The platform now warns users when unknown contacts add them to group chats, a common tactic used to broaden victim pools.

Meta stated it “proactively detected and took down accounts before scam centres were able to operationalise them,” signalling a preventive shift in strategy. The collaboration with OpenAI specifically targeted a Cambodian group that used ChatGPT to create convincing outreach messages. Victims were first approached via WhatsApp links, then moved to Telegram for further exploitation.

ANOTHER MUST-READ ON ICN.LIVE: BlackRock sets aside XRP and SOL ETFs despite growing speculation in crypto markets

Pig Butchering Scams Grow More Sophisticated

The scams often start with unsolicited messages or dating site conversations that evolve into fake romantic relationships. Criminals then persuade victims to invest in fraudulent cryptocurrency projects.

These schemes are highly structured. Scammers show fake screenshots of “successful” transactions and then request further cryptocurrency deposits to unlock supposedly higher-paying tasks. In some cases, victims were enticed by assignments like engaging with TikTok videos for small monetary rewards before larger investment requests followed.



Meta Deleted 6.8 Million WhatsApp Accounts as AI Battle Escalates

The crackdown reveals how criminal networks have adopted AI to automate outreach and craft convincing communications at scale. While Meta and other tech companies deploy AI to detect and stop scams, fraudsters exploit the same tools to improve their deception.

The battle over AI in fraud prevention is intensifying. Meta’s unprecedented enforcement move signals both the scale of the problem and the importance of rapid technological countermeasures.

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What are “pig butchering” scams?

“Pig butchering” scams involve criminals gaining a victim’s trust, often through fake online romantic relationships, and then convincing them to invest in fraudulent cryptocurrency projects. The term refers to the scammer “fattening up” the victim with attention and trust before “slaughtering” them financially. These scams can involve sophisticated tactics, including fabricated success stories, staged screenshots, and the use of AI-generated communications. Criminals typically start contact via dating websites or unsolicited social media messages. Once engaged, victims may be moved to encrypted messaging platforms like Telegram for further manipulation.

Why did Meta target these WhatsApp accounts?

Meta targeted these accounts because they were part of large-scale, AI-assisted scam operations, many of them run by organised crime groups in Southeast Asia. The company’s AI-driven detection systems identified suspicious behaviours early, preventing scammers from fully exploiting the accounts. This preemptive approach is a departure from relying on user reports after scams occur. By working with OpenAI, Meta also disrupted groups specifically using AI chatbots to create more convincing initial contact with victims.

How are criminals using AI in scams?

Criminals use AI to scale and refine their scams. AI chatbots can generate personalised, convincing messages for thousands of potential victims, increasing the efficiency of fraud. In these scams, AI can mimic natural conversation styles, create believable social media profiles, and generate fake investment dashboards or screenshots. These tools allow scammers to manage multiple victims simultaneously while maintaining a veneer of authenticity. Unfortunately, the same capabilities that make AI useful for businesses are being exploited for large-scale online fraud.

What measures is WhatsApp implementing to stop such scams?

WhatsApp has introduced several measures to curb scam activities. These include AI-driven pattern recognition to spot unusual account behaviour, warnings when unknown contacts add users to group chats, and proactive account removal before scams can be executed. Meta’s partnership with OpenAI further strengthens its ability to detect AI-generated scam messages. The focus has shifted toward prevention rather than reaction, with the aim of neutralising threats before they reach victims. This multi-layered defence is part of a broader industry push to combat AI-enabled criminal activity online.

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