“Analyzing and Preventing Sandwich Attacks in Ethereum” by @PatrickZuest
Read about a tool that can help foil bots 🤖 uses a method that could have saved traders more than 90 million USD.
https://t.co/m5Ar7Px3JR
@icocatapult Merci, Alex. Ich hätte im Artikel auch weniger auf Bitcoin fokussiert, aber kann @nicola_imfeld schon verstehen: Mit BTC als Beispiel wird der Text für die breite Leserschaft zugänglicher. Sandwich-Attacken sind mit (W)BTC zwar seltener, aber auch möglich.
“Analyzing and Preventing Sandwich Attacks in Ethereum” - @PatrickZuest (@ETH) provides a comprehensive analysis of sandwich attacks on DeFi Protocols, showing that attackers netted ~$190m during the analyzed period, and how traders could have mitigated the amount lost to MEV
Excited to share our report on sandwich attacks in Ethereum🥪
Over a period of 12 months, attackers generated a profit of at least 190 million USD.
https://t.co/cUv1ApNp3X
The most important results and why it impacts crypto traders 🧵
Traders can also prevent attacks by using private mempools or decentralized exchanges which are tailored to an Ethereum network where frontrunning is not an exception, but the norm.
The prototype is still hacky, but any feedback and shares are appreciated. My DMs are open if you want to chat. You can also reach me at [email protected]
Crypto traders lose millions every month because their transactions are sandwich-attacked. That's why we built https://t.co/voD8DFkfuE. The tool lets you check whether a trade is susceptible to this kind of attack, and calculates how much money you can save by splitting it up.
This is part of the bachelor thesis I'm currently writing at @ETH. We're quantifying how much money bots make using sandwich attacks, analyze their approach, and want to find out how projects like FlashBots influence the attacks we're observing.