
Front-running refers to a manipulative trading practice in which an individual leverages privileged information to execute transactions ahead of others for profit. In essence, it involves someone gaining early knowledge or predicting another party's transaction and placing their own order just before, capturing the price difference for personal gain.
On blockchains, front-running commonly occurs by monitoring transactions in the public waiting area (the mempool) before they are confirmed in a block. By submitting a transaction with a higher fee, the front-runner ensures their transaction is prioritized, thus altering the original transaction order for profit.
In traditional finance, front-running is considered a violation when employees or brokers use client order information for their own trades. On-chain, front-running is more about "transaction ordering manipulation," often involving block proposers or bots optimizing transaction order for extra revenue. This behavior is typically categorized under the broader concept of MEV (Maximal Extractable Value).
Front-running directly increases your trading costs and slippage, leading you to buy at higher prices or sell at lower ones—gradually eroding your profits.
For average users, front-running is most apparent when trading on decentralized exchanges (DEXs), where the executed price significantly deviates from expectations due to being "sandwiched" by other trades. For market makers and project teams, front-running disrupts price discovery and fairness, negatively impacting user experience and brand reputation. For developers, understanding front-running enables the implementation of contract and frontend protections to minimize user losses.
Front-running exploits "public queuing" and "fee bidding" to rearrange the transaction order and capture price differentials.
Slippage is the difference between your expected execution price and the actual trade price. Front-runners profit by "jumping the queue" and amplifying slippage. Setting a high slippage tolerance significantly increases your risk of being targeted.
Front-running mainly occurs in scenarios with public on-chain queues, taking various forms but always aiming to profit from transaction ordering and price differences.
You can mitigate front-running by "concealing intent," "eliminating queue-jumping opportunities," and "controlling matching environments."
Over the past year, public data shows that profits from on-chain transaction ordering remain high, with sandwich attacks accounting for a significant share of DEX activity.
According to dashboards and research institutions throughout 2024, the proportion of Ethereum blocks produced via MEV channels has consistently stayed high (commonly reported around 90%), signaling increased ecosystem specialization around transaction sequencing. In Q3 2024, tracking showed sandwich attacks on major DEXs accounted for 50–70% of attack events or extracted value—varying by token and time period.
These trends persisted into 2025: Major bundling and routing services became more widespread; user adoption of protection tools increased; and more transactions were sent via protected channels. Nevertheless, during high-profile events (new token launches, popular NFT mints), risks of front-running and slippage remain concentrated—highlighting the need for users to employ limit orders, low slippage, and private routing during such periods.
Data source note: The figures above are based on public dashboards and research platforms' statistics from 2024 and Q3 2024; recent trends reflect ongoing community and tool usage observations, but specific numbers may fluctuate with market and on-chain conditions.
Front-running is a negative subset of MEV focused specifically on executing trades ahead of others for profit, while MEV represents a broader category.
MEV (Maximal Extractable Value) encompasses all profits extractable from transaction reordering, insertion, or removal within blocks—including arbitrage, liquidations, cross-pool route optimization, etc.—some of which can have neutral or even positive effects on market liquidity. Front-running is more narrowly about exploiting others’ trade intent for price difference—usually harming user experience and fair pricing.
Understanding the distinction helps you assess risks accurately: not all transaction ordering profits are malicious, but you can use private submission, limit orders, and tight slippage controls to guard against the most harmful types.
Front-running can cause your trade to execute at a worse price or with delays. Attackers buy ahead of your large trade to push up prices, then sell after you buy—forcing you to pay more overall. This risk is greatest during DEX trades or large transfers, especially when network congestion is high.
Adopt multiple protection strategies: use private transaction pools or aggregators to conceal intent; set reasonable slippage tolerances (typically 1–3%); choose off-chain order book trading instead of on-chain AMM; transact during off-peak network periods to lower monitoring risk. Major platforms like Gate include built-in slippage protection tools.
Ethereum’s mempool is completely transparent—anyone can see pending transactions’ full details and amounts. Miners and arbitrage bots monitor this data in real time to execute profitable queue-jumping trades. This stems from Ethereum’s foundational design—favoring transparency over privacy—though recent developments such as private pools are beginning to address these issues.
Front-running means executing ahead of your trade; sandwich attacks involve bracketing your trade with both a buy before and a sell after. While front-runners profit just by preceding you, sandwich attackers profit from both sides—using more sophisticated strategies but fundamentally exploiting unfair transaction ordering.
Private RPCs help hide your transactions from public mempool monitoring but cannot fully eliminate front-running risks—validators or builders may still reorder transactions during block construction. More robust solutions include using Flashbots MEV protection services or networks supporting PBS (Proposer-Builder Separation), which reduce the likelihood of being front-run at a structural level.


