A hacker lost $371,000 due to a sandwich attack: the irony of fate in the MEV bot market.
In the world of cryptocurrencies, events sometimes occur that recall the old saying that greed and carelessness often go hand in hand. The recent incident on the Base network has become a vivid example of how even experienced attackers can fall victim to their own mistakes, as well as a demonstration of how sophisticated automated trading tools have become.
According to my analysis of blockchain data, the hacker was able to withdraw approximately 500,000 USDC from someone else's wallet. However, his success ended there. When attempting to convert the stolen stablecoins through a decentralized exchange (DEX), he made a critical blunder — he did not set an acceptable slippage level. This became his fatal mistake.
This situation was instantly detected by an MEV bot (Maximal Extractable Value), which carried out a so-called sandwich attack. The essence of this strategy is that the bot places transactions before and after the victim's trade, artificially manipulating the asset's price in its favor. As a result, the hacker lost approximately $371,000 and managed to keep only about $129,000 of the stolen funds. The losses amounted to more than 74% of the stolen amount.
Technical details and lessons for the market
This case highlights several important aspects of the modern DeFi landscape. First, MEV bots have become so aggressive and efficient that they can intercept even large operations within seconds. Second, neglecting basic security parameters, such as the slippage limit, is a gross error that can negate any efforts at unauthorized enrichment.
From my professional point of view, this incident is not just a curious case. It serves as an important reminder for all market participants, including legitimate traders, of the need to carefully configure trade parameters. In a world where algorithmic strategies operate on a millisecond scale, even the slightest carelessness can lead to catastrophic financial consequences. And although in this case the attacker was the one who suffered, similar vulnerabilities can also affect ordinary users.