Solana Sandwich Bots Extracted $29.7 Million Targeting Pump.fun
According to a recent analysis by blockchain data provider Bitquery, sandwich bots on the Solana network managed to extract about $29.7 million before costs from trades over an 11-month period. The majority of these attacks were directed at the memecoin platform Pump.fun and its associated PumpSwap exchange.
The investigation identified 6,850,144 attacks conducted by 2,545 bot wallets, impacting 2,154,994 distinct wallets between October 30, 2025, and October 7, 2026. Notably, 96% of the detected attacks were linked to Pump.fun's launch curve.
Sandwich attacks occur when a bot places a purchase and sale around another trader's swap, artificially inflating the price and leading to less favorable outcomes for the intervening buyer. The costs incurred by the trader are often hidden within the execution of the swap, even if it appears successful.
Bitquery's findings also highlighted that trades allowing for higher slippage were more frequently targeted. For instance, trades with a slippage tolerance of 20% to 50% faced sandwich attacks 14 times more often than those with a tolerance of less than 3%.
While the $29.7 million figure reflects the value of SOL at the time of each attack, it does not account for net profits. In a separate analysis of 63 attacks, bots retained 68% of the gross proceeds, although 18 of those attacks resulted in losses after costs were deducted.
The report also noted inconsistencies in the sale-fee recording on Pump.fun, which could affect the gross estimate by approximately 3%. Bitquery's methodology involved identifying trading patterns and excluding certain trades to ensure accuracy.
FAQ
What are sandwich bots and how do they operate?
Sandwich bots are automated trading programs that exploit other traders by placing a buy order before and a sell order after a target trader's transaction. This creates an artificial price increase, leading to less favorable outcomes for the targeted trader.
How much money did sandwich bots extract from trades on the Solana network?
According to Bitquery, sandwich bots extracted approximately $29.7 million from trades on the Solana network over an 11-month period.
Which platform was primarily targeted by these sandwich attacks?
The majority of sandwich attacks were directed at the memecoin platform Pump.fun and its associated PumpSwap exchange.
What impact does slippage tolerance have on the likelihood of being targeted by sandwich bots?
Trades with higher slippage tolerance, particularly those between 20% to 50%, were targeted 14 times more often than trades with a tolerance of less than 3%.
Did the analysis account for net profits from the sandwich attacks?
No, the $29.7 million figure reflects the gross value of SOL at the time of each attack and does not account for net profits. In a separate analysis, bots retained 68% of the gross proceeds, but some attacks resulted in losses after costs were deducted.
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