The post Fake AI trading bot tutorials steal 274.6 ETH from 224 victims appeared on BitcoinEthereumNews.com.
Fake YouTube tutorials promoting AI-powered crypto arbitrage bots have tricked 224 victims into deploying malicious smart contracts that stole 274.6 ETH worth about $517,000. Summary Nine similar YouTube videos directed users to compilers controlled by the scam operators. Victims deployed 234 contracts and funded them through transactions they approved themselves. A malicious backend replaced the code shown to users with contracts designed to steal ETH. Stolen funds moved to six collection addresses, with the median victim losing 1 ETH. TRM Labs said in a Sep. 14 report that the operation disguised malicious Ethereum contracts as automated trading tools built with Anthropic’s Claude, allowing the scammers to steal funds without relying on conventional phishing links or suspicious wallet approvals. The blockchain intelligence firm traced 234 contracts deployed by victims, although the campaign affected 224 people because some participants created more than one contract. Funds taken through the contracts eventually reached six collection addresses controlled by the operators. Based on ETH’s value when the transfers occurred, the 274.6 ETH stolen was worth approximately $517,000. TRM calculated a median loss of 1 ETH per incident, showing that the total did not depend on a single large victim. Fake AI trading bot tutorials turned victims into contract deployers Rather than sending users to a page that immediately requested access to their wallets, the operators presented the scheme as an educational process. Victims found the videos, followed the instructions, and took each onchain step themselves. TRM identified nine nearly identical YouTube tutorials presented under different creator identities. AI-generated virtual hosts and voiceovers gave the videos the appearance of independent guides, while each tutorial promised to help viewers create a fully automated crypto arbitrage bot using Claude. During the videos, users were told to copy code and open a compiler website selected by the presenter. Some…
