Analyzing Ethereum Sandwich Attack AI Trading Bots: Mechanics, Deployment, and Risk Warnings

In the Ethereum decentralized trading ecosystem, an automated arbitrage strategy known as a "sandwich attack" has drawn attention in recent years. This article analyzes an open-source trading bot whose core architecture was generated by artificial intelligence and which can automatically execute such attacks. This article serves only as an explanation of the principles and a risk warning, and does not encourage readers to deploy or use similar tools.

#Basic Principles of Sandwich Attacks

Before execution, Ethereum transactions enter a public mempool to wait for miners to pack them into blocks. Anyone can observe these pending transactions. Sandwich attackers monitor the mempool looking for large buy orders. Once they identify a target transaction, they immediately submit two transactions:

1. Front-run buy: Pay a higher gas fee so that their buy order is packed before the target transaction, driving up the token price.
2. Follow-up sell: After the target transaction completes, the attacker immediately sells the tokens just bought, profiting from the price movement.

This strategy exploits the public visibility of blockchain transactions and the gas fee bidding mechanism, and is essentially a form of front-running.

#Workflow of the AI Trading Bot

The bot shown in the video fully automates the above process. Its core code is generated by AI, is open source, and includes inline comments, allowing anyone to audit it. The bot is deployed as a smart contract that runs continuously on the Ethereum network.

The workflow is as follows:

• Monitor the public mempool and scan for large token swaps on decentralized exchanges.
• Identify large unconfirmed buy orders.
• Automatically execute the sandwich attack: pay a higher gas fee to front-run the buy, then sell immediately after the price rises.
• Console logs record each route split block number and automatically executed transaction, providing transparency.

#Overview of Deployment Steps

If you reproduce this process for technical research purposes, the general steps are as follows (please assess the legal and ethical risks yourself):

1. Prepare a wallet: Use a standard what is a web3 wallet (such as MetaMask, etc.), and ensure the account has enough ETH.
2. Create a development environment: Create a new file in an Ethereum development environment such as Remix, and paste the open-source code.
3. Compile the contract: Select the Solidity compiler version that matches the comments at the top of the code, and compile.
4. Connect the wallet: Set the environment to Injected Provider and approve the wallet connection request.
5. Deploy the contract: Click deploy and pay a small gas fee (usually less than $1) to deploy the contract to the Ethereum mainnet.
6. Verify ownership: Click verify on the control panel to confirm that the contract address matches the wallet address.
7. Deposit funds: Transfer ETH to the deployed contract address. The video states the optimal liquidity range is 2-10 ETH; below 1 ETH efficiency drops, and after about 50 ETH returns plateau.
8. Activate the bot: Click the activate button and confirm the transaction. The bot begins monitoring order books and volume spikes.
9. View earnings and withdraw: The console displays the cumulative balance and transaction logs. Click the withdraw button to transfer funds back to your wallet.

#Factors Related to Earnings

The video mentions that the bot's daily earnings are directly related to Ethereum network congestion, gas fee competition, and overall decentralized exchange trading volume. However, these factors are uncontrollable and subject to significant volatility. The short-term positive returns shown in the content are only isolated cases and do not represent typical results.

#Main Risks and Compliance Warnings

1. Ethical and compliance controversy: Sandwich attacks are widely regarded as a form of malicious MEV (Maximal Extractable Value) that may violate the terms of service of some decentralized exchanges and even lead to legal disputes.
2. Countermeasure risk: Other bots or miners may detect such attacks and counter them with higher gas fees, causing losses for the attacker.
3. Smart contract risk: Even if the code is open source, there may still be vulnerabilities or backdoors. A professional security audit is required before deployment.
4. Risk of fund loss: High gas fee competition, network congestion, or unexpected logic errors may cause funds to be locked or lost.
5. Illusion of transparency: Console logs can only show transactions that have already occurred and cannot guarantee long-term profitability or security.

#Conclusion

Sandwich attack AI trading bots showcase a complex side of blockchain automated trading, but this strategy is essentially exploitative of other users and carries multiple risks. Ordinary users should not view it as a source of "passive income." Understanding its mechanics helps identify and defend against such attacks, rather than participate in them.

This content is provided solely for technical education and risk awareness, and does not constitute any investment or operational advice.