MEV bot Jaredfromsubway.eth lost $7.5 million in a sophisticated attack

One of the most famous MEV bots on the Ethereum network — Jaredfromsubway.eth — fell victim to a cyberattack, losing over $7.5 million in assets. The incident occurred not due to a classic smart contract vulnerability or phishing, but through a sophisticated multi-layered scheme targeting the bot's automated execution system.
According to data from Blockaid, a platform specializing in exploit detection, the attacker created dozens of fake token contracts disguised as popular assets such as WETH, USDC, and USDT. These contracts were linked to fictitious liquidity pools that mimicked profitable trading opportunities. MEV bots, which seek to execute sandwich attacks, typically respond to such "false signals."
The attack mechanism involved Jaredfromsubway.eth being forced to grant the attacker's auxiliary contracts permission to spend real funds. After obtaining approvals, the attacker activated all "backdoors" in a single transaction and withdrew the funds. Part of the stolen coins has already been sent to Tornado Cash, as confirmed by data from the analytical platform Arkham.
Notably, this bot dominated the MEV space on Ethereum for a long time. From November 2024 to October 2025, the network recorded between 60,000 and 90,000 sandwich attacks monthly, with about 70% of them linked to Jaredfromsubway.eth. Annual trader losses from such operations are estimated at around $60 million. In June 2024, this same bot briefly became the largest gas consumer on the Ethereum network, highlighting its scale.
Cryptalist Analytical Commentary: This incident is a striking example of how even the most experienced players in the MEV environment can fall victim to attacks based on trust in false data. The attack was not technically complex in terms of code exploitation, but it brilliantly leveraged the bot's behavioral patterns. This is a serious signal for all MEV bot operators: deeper verification of liquidity pools and contracts must be implemented, rather than relying solely on external profitability signals.