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$7.5 Million Stolen from Ethereum's Major 'Sandwich' Bot in Unique Hack

A unique exploit has led to the theft of $7.5 million from Ethereum's jaredfromsubway.eth bot, revealing vulnerabilities in automated trading.

Mercation Admin
June 21, 2026 1 min read
$7.5 Million Stolen from Ethereum's Major 'Sandwich' Bot in Unique Hack

In a sophisticated attack, an exploit has drained over $7.5 million from the Ethereum MEV bot known as jaredfromsubway.eth, known for its sandwich trading tactics. This incident underscores the vulnerabilities inherent in automated trading frameworks.

Security firm Blockaid reported that the attacker used a combination of fake tokens and misleading liquidity pools to deceive the bot into granting permissions for harmful contracts. By exploiting these permissions, the attacker was able to siphon off funds, including WETH, USDC, and USDT, with some of the stolen assets traced back to Tornado Cash.

The bot has been notorious for conducting sandwich attacks, a method that allows traders to profit at the expense of others by placing orders before and after a victim's transaction, effectively imposing a hidden tax on users. This strategy has reportedly cost traders around $60 million annually.

Over several weeks, the attacker crafted a plan that involved creating fake assets that mimicked legitimate tokens. When jaredfromsubway.eth recognized these as potential trading opportunities, it inadvertently approved the attacker's contracts. This left the door open for the attacker to withdraw funds without further intervention from the bot.

This incident not only highlights the risks associated with automated trading systems but also serves as a reminder of the ongoing challenges in securing decentralized finance platforms. Jaredfromsubway.eth, which has been operational since early 2023, has been linked to approximately 70% of sandwich attacks on Ethereum, conducting between 60,000 to 90,000 of these operations monthly.

Ironically, while the bot has profited from unsuspecting traders, it was ultimately caught off guard by its own trading mechanisms, showcasing the potential pitfalls of high-speed trading strategies.