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Market News

$12 Million Flash Loan Yields $20 for Unlucky MEV Bot

Despite the high stakes, the bot earned just $20 in profit after paying gas fees.

Written By Dishita Malvania
Published 2024-09-06·Updated 2 years ago
Make The Crypto Times preferred on GoogleGoogle
$12 Million Flash Loan Yields $20 for Unlucky MEV Bot

An unlucky Maximum Extractable Value (MEV) bot took out a massive $11.9 million flash loan for a sandwich attack but barely made enough to cover a meal.

In a post on September 5, blockchain analytics firm Arkham Intelligence revealed that the MEV bot borrowed $11.97 million in Wrapped Ether (WETH) to sandwich a user attempting to swap $5,000 worth of Shuffle (SHFL) tokens. Despite the high stakes, the bot earned just $20 in profit after paying gas fees.

Source: Twitter

The bot executed 14 transactions during the attack, lending and borrowing over $700,000 in USDC and WETH across DeFi platforms like Aave and Uniswap. All transactions were confirmed in a single block, meaning the bot completed them in 12 seconds.

How a Sandwich Attack Works

A sandwich attack happens when an attacker places two transactions around a victim’s trade. The attacker manipulates the price by buying before the victim and selling after, pocketing the difference. In this case, the MEV bot’s profits were significantly underwhelming.

However, MEV bots have made big money in the past. In April 2023, a bot operator named *jaredfromsubway* earned over $1 million in just one week using sandwich attacks on PEPE and WOJAK tokens.

Despite this bot’s failure, MEV attacks remain a highly profitable tool for many operators.

Also Read: Trader Achieves Over 400% Profit by Trading $DOGS Token

Disclaimer: The information researched and reported by The Crypto Times is for informational purposes only and is not a substitute for professional financial advice. Investing in crypto assets involves significant risk due to market volatility. Always Do Your Own Research (DYOR) and consult with a qualified Financial Advisor before making any investment decisions.

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