ZachXBT Unveils Social Media Scam Network Using AI and Deepfake Tech to Promote Crypto Fraud

Blockchain investigator ZachXBT recently exposed a fake X account named 'Rashid bin Saeed,' which was used to spread misinformation about geopolitical events and promote crypto pump-and-dump schemes. The account gained a significant following and pushed a low-liquidity meme coin, Chibification (CHIBI), before a sharp price drop. ZachXBT noted that the account follows a known pattern of creating viral content to attract followers before pushing fraudulent tokens.

The incident highlights the growing prevalence of crypto scams on social media platforms, where 56% of all scam cases in 2025 originated from platforms like Telegram, X, and Instagram. These scams often involve AI-powered impersonation and deepfake technologies to mimic public figures and create convincing fraudulent schemes.

AI-generated content and deepfake videos accounted for 32% of social media scam attempts in 2025. These techniques have proven highly effective, with AI-enabled scams generating 4.5 times more revenue than traditional methods. Scammers use a combination of fake verified accounts, airdrop links, and pig butchering tactics to deceive victims.

Why Did This Happen?

Modern fraud operations increasingly combine social engineering with synthetic identities and mule networks to exploit weaknesses in identity verification and transaction monitoring. The complexity of these schemes has forced 74% of crypto providers to prioritize verification accuracy over speed, emphasizing regulatory compliance and fraud resilience.

The use of AI in fraud detection has become a key priority for many crypto companies. According to the Sumsub report, 57% of surveyed providers now prioritize AI-powered fraud detection, and 51% are investing in advanced fraud analytics. This shift is driven by the need to combat increasingly sophisticated threats that traditional methods cannot address effectively.

How Did Markets React?

Regulators are also adopting AI-based tools to detect and combat financial crime. The UK's Financial Conduct Authority (FCA) has partnered with Palantir to expand the use of AI and data analytics in detecting money laundering and other forms of financial wrongdoing. The FCA's 2025-2026 workplan includes using network analytics to identify harmful financial crime networks.

Despite these advancements, experts warn that bad actors may find ways to circumvent AI-based detection systems. Tactics like using 'white text' in documents to evade detection are already being explored by criminals. This highlights the ongoing cat-and-mouse game between fraudsters and regulators in the crypto and finance sectors.

What Are Analysts Watching Next?

Investors are advised to remain vigilant when encountering unsolicited investment offers or airdrop links on social media. Verifying the legitimacy of projects through official channels is crucial in avoiding scams. Financial institutions are increasingly using AI to detect fraudulent activity, but individual due diligence remains essential according to fraud research.

The broader trend in the crypto market is one of fear and uncertainty, as fraudulent actors continue to exploit social media platforms to manipulate market sentiment and drive traffic to scams. As the use of AI in fraud detection becomes more widespread, the arms race between scammers and security teams is expected to intensify.