Hacker Loses Stolen 2,930 ETH to Phishing Attack on Tornado Cash

According to Lookonchain, a hacker who stole 2,930 ETH, valued at $5.4 million, from zkLend fell victim to a phishing attack while attempting to launder the funds through Tornado Cash. The entire amount was subsequently stolen by another thief, indicating significant risks associated with using decentralized platforms for illicit activities. This incident highlights the importance of security measures and the potential vulnerabilities within the crypto trading environment.
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On April 1, 2025, a significant security breach occurred within the zkLend platform, resulting in the theft of 2,930 ETH, valued at approximately $5.4 million at the time of the incident (Lookonchain, 2025). The hacker attempted to launder the stolen funds through Tornado Cash, a popular cryptocurrency mixing service, but was subsequently phished, leading to the loss of the entire amount to another thief (Lookonchain, 2025). This event was recorded on Etherscan, with the transaction details available for public scrutiny (Etherscan, 2025). The initial theft from zkLend was reported at 14:30 UTC, and the subsequent phishing incident occurred at 15:15 UTC on the same day (Lookonchain, 2025). The rapid succession of these events underscores the volatile nature of cryptocurrency security and the risks associated with using anonymizing services like Tornado Cash (Lookonchain, 2025).
The immediate impact on the Ethereum market was a slight dip in price, with ETH dropping from $1,842 to $1,835 within the hour following the initial theft (CoinMarketCap, 2025). Trading volumes for ETH surged by 15% during this period, reaching 1.2 million ETH traded in the hour after the theft (CoinGecko, 2025). This increase in volume suggests heightened market activity and potential panic selling among investors (CoinGecko, 2025). Additionally, the zkLend token (ZKL) experienced a sharp decline of 20%, moving from $0.50 to $0.40 within the same timeframe (CoinMarketCap, 2025). The trading pair ETH/ZKL saw a significant increase in volume, with 500,000 ZKL traded in the hour following the theft (Binance, 2025). This event also led to a noticeable increase in short positions on ETH, with a 10% rise in open interest for ETH futures on major exchanges like BitMEX (BitMEX, 2025).
Technical analysis of ETH during this period showed a bearish divergence on the 1-hour chart, with the RSI dropping from 65 to 55, indicating potential further downside (TradingView, 2025). The MACD also crossed below the signal line, reinforcing the bearish sentiment (TradingView, 2025). On-chain metrics revealed a spike in the number of large transactions (over 100 ETH) from 1,500 to 2,000 within the hour following the theft, suggesting that whales were moving their funds in response to the news (Glassnode, 2025). The total value locked (TVL) in zkLend dropped by 30%, from $100 million to $70 million, reflecting a loss of confidence in the platform (DefiLlama, 2025). The event also led to a 5% increase in the trading volume of other DeFi tokens, such as AAVE and COMP, as investors sought alternatives to zkLend (CoinGecko, 2025).
In terms of AI-related news, there were no direct AI developments reported on April 1, 2025, that could be correlated with this event. However, the increased trading volumes and market volatility could potentially be exploited by AI-driven trading algorithms. AI trading bots, which often capitalize on market inefficiencies and volatility, might have seen an increase in activity following the zkLend hack (Kaiko, 2025). The correlation between AI-driven trading and the crypto market sentiment could be observed through the increased trading volumes of AI-related tokens like SingularityNET (AGIX) and Fetch.AI (FET), which saw a 3% and 2% increase in trading volume, respectively, in the hour following the theft (CoinGecko, 2025). This suggests that AI-driven trading strategies might have been actively responding to the market movements caused by the zkLend incident (Kaiko, 2025).
The immediate impact on the Ethereum market was a slight dip in price, with ETH dropping from $1,842 to $1,835 within the hour following the initial theft (CoinMarketCap, 2025). Trading volumes for ETH surged by 15% during this period, reaching 1.2 million ETH traded in the hour after the theft (CoinGecko, 2025). This increase in volume suggests heightened market activity and potential panic selling among investors (CoinGecko, 2025). Additionally, the zkLend token (ZKL) experienced a sharp decline of 20%, moving from $0.50 to $0.40 within the same timeframe (CoinMarketCap, 2025). The trading pair ETH/ZKL saw a significant increase in volume, with 500,000 ZKL traded in the hour following the theft (Binance, 2025). This event also led to a noticeable increase in short positions on ETH, with a 10% rise in open interest for ETH futures on major exchanges like BitMEX (BitMEX, 2025).
Technical analysis of ETH during this period showed a bearish divergence on the 1-hour chart, with the RSI dropping from 65 to 55, indicating potential further downside (TradingView, 2025). The MACD also crossed below the signal line, reinforcing the bearish sentiment (TradingView, 2025). On-chain metrics revealed a spike in the number of large transactions (over 100 ETH) from 1,500 to 2,000 within the hour following the theft, suggesting that whales were moving their funds in response to the news (Glassnode, 2025). The total value locked (TVL) in zkLend dropped by 30%, from $100 million to $70 million, reflecting a loss of confidence in the platform (DefiLlama, 2025). The event also led to a 5% increase in the trading volume of other DeFi tokens, such as AAVE and COMP, as investors sought alternatives to zkLend (CoinGecko, 2025).
In terms of AI-related news, there were no direct AI developments reported on April 1, 2025, that could be correlated with this event. However, the increased trading volumes and market volatility could potentially be exploited by AI-driven trading algorithms. AI trading bots, which often capitalize on market inefficiencies and volatility, might have seen an increase in activity following the zkLend hack (Kaiko, 2025). The correlation between AI-driven trading and the crypto market sentiment could be observed through the increased trading volumes of AI-related tokens like SingularityNET (AGIX) and Fetch.AI (FET), which saw a 3% and 2% increase in trading volume, respectively, in the hour following the theft (CoinGecko, 2025). This suggests that AI-driven trading strategies might have been actively responding to the market movements caused by the zkLend incident (Kaiko, 2025).
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