Blockchain investigator ZachXBT reported uncovering a coordinated network of fake accounts on the social media platform X that used exaggerated war and geopolitical content to promote cryptocurrency scams. The investigation identified more than 10 linked accounts that were allegedly purchased with pre-existing follower bases to increase credibility and reach.
These accounts reportedly used artificial intelligence tools to impersonate well-known online influencers, including Mario Nawfal, and posted sensational updates designed to trigger fear and urgency among users. The posts gained millions of views before shifting focus toward fraudulent crypto promotions. Onchain evidence cited in the findings suggested the operation generated profits in the six-figure range.
According to the investigation, the accounts initially posted dramatic or misleading geopolitical content to attract attention and boost engagement. After drawing significant traffic, the same accounts began promoting fake cryptocurrency giveaways and pump-and-dump token schemes.
One example involved a token promotion known as Oramama in late February, which was highlighted as part of the broader scam activity. Many users unknowingly amplified the posts by replying to or sharing them, further increasing visibility.
Ongoing Challenges for Social Media Platforms
The findings highlight ongoing concerns about bot networks and fraudulent activity across major social platforms. Despite recent efforts to strengthen bot detection and introduce tools to flag AI-generated content, coordinated networks continue to exploit viral trends to mislead users.
Investigators have urged social media users to carefully review account details and recent activity before interacting with posts or participating in cryptocurrency promotions, especially those linked to trending geopolitical events.
Disclaimer
This content is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency trading involves risk and may result in financial loss.

