How Can a Protocol Use Slippage Tolerance Settings to Prevent Front-Running Attacks?

Users set a slippage tolerance (e.g. 0.5%) for their trade.

If the final executed price is worse than the initial price by more than this tolerance, the transaction is automatically reverted. Front-running bots attempt to insert a transaction before the user's to profit from the price change.

By setting a low tolerance, the user ensures that the front-runner's transaction will cause their own to revert, making the attack unprofitable.

What Is ‘Slippage Tolerance’ and How Does a Trader Use It to Mitigate Front-Running Risk?
How Does the Concept of “Slippage Tolerance” Relate to Front-Running on AMMs?
How Does Slippage Tolerance Setting Affect a User’s Vulnerability to a Sandwich Attack?
Can a Front-Runner Deliberately Cause a Transaction to Revert Using Slippage?
What Is the Maximum Acceptable Slippage Setting for a Typical DeFi Trade?
How Can a User Protect Themselves from Sandwich Attacks Caused by High Slippage Tolerance?
What Is the Concept of “Slippage Tolerance” in the Liquidation Process?
How Does a ‘Revert’ Transaction on a DEX Differ from a Simple Cancellation on a CEX?

Glossar