Detecting script transactions at Ethereum Mainnet
As a user of Web3.Js, Web3.py or other Web3 libraries using the Chrome Metamask plug for interaction with Blockchain Ethereum, you are probably familiar with the importance of checking the authenticity and origin of transactions. In this article, we will explore if it is possible to detect script transactions in Ethereum Mainnet using TX metadata.
What are TX metadata?
On Web3.JS, tx represents a transaction object containing information about the transaction being performed, such as hash, date and time, price and gas value, etc. When a user interacts with Metamask or other web3 libraries, they can send transactions to the Ethereum network using this tx object.
Can we detect script transactions?
To answer your question, you can analyze the TX metadata to identify transactions that were performed by scripts and not by users. The key is to look for characteristics of the exclusive transaction executions of script interactions.
1. Gas price and value
Scripts are usually executed with higher gas prices and higher quantities due to their computational energy requirements. In addition, some scripts may use a different price or value of gas that is not typical of user transactions.
2. Transaction hash standard
Scripts can generate complex transaction hashes using cryptographic techniques such as the Diffie-Hellman Ellic Curve (ECDH) and digital signatures. These hashes can be quite large and difficult to reverse engineering, making it difficult to produce scripts through regular user transactions.
3. Script specific call patterns
Scripts usually use specific APIs or functions that are not available on the Ethereum network for users. For example, some scripts can use the web3.js’ eth_callmethod with a personalized abi (application binary interface) that is not used by users.
4. Timestamps of transaction **
Scripts can be designed to execute at different times, potentially affecting the date and time of the transaction. This may be due to scripts using a different local clock or with your own timers.
To detect script transactions at Ethereum Mainnet, you will need to analyze TX metadata and look for unique script interactions. Here is an example of how you can do this with web3.js:
JavaScript
Import Web3 from ‘Web3’;
CONST Web3 = new Web3 (Window.ethereum);
// Define a call return function to check for script transactions
ASSINCROATED FUNCTION VERIFICATION ASCRIPTTRANSATIONS () {
CONTT Account = Wait Web3.eth.getacCounts ();
While (True) {
to try {
// Send an empty transaction using the checking account
CONST TX = Wait Web3.eth.SendTransaction ({from: Accounts [0], to: ‘0x …’, value: Web3.utils.towei (‘1’, ‘ether’)});
// Analyze the TX metadata to get specific characteristics of the script
if (tx.hash.length> 40) {
console.log (detected script transaction! hash: $ {tx.hash});
to break;
} other {
console.log (no detected script transaction.);
}
} catch (error) {
if (error. Code === ‘Ethereumcommanderror’ && error.Message.includes (‘script’)) {
console.log (script command executed! Error: $ {error.Message});
} other {
console.error (error);
}
}
}
}
checkscripttransations ();
`
Conclusion
Although it is not possible to detect script transactions with absolute certainty, the analysis of TX metadata can help you identify exclusive patterns of script interactions. By combining this analysis with additional information on blockchain and network activity, you can make more informed decisions about the authenticity of the transaction.
Remember that scripts can be designed in many ways, so it is essential to stay up to date with Ethereum’s latest developments and best practices to interact with blockchain.
