AmirhosseinHonardoust/ML-Meets-Etherscan-Realtime-Scanner
AI-powered real-time smart contract scanner that connects Machine Learning with Etherscan V2 to analyze newly deployed contracts instantly. Fetches verified Solidity code, performs static risk analysis, computes ML-driven deployer trust scores, and generates full security intelligence pipelines for Web3 threat detection.
This project helps Web3 investors and security analysts automatically detect potential "rugpulls" and scams from newly deployed smart contracts on Ethereum. It takes real-time contract deployment data and verified Solidity code from Etherscan, then outputs a comprehensive risk assessment, including a token risk score and a deployer's trust score. The end user is anyone needing to quickly evaluate the safety of new tokens, like investors, crypto exchanges, or blockchain security firms.
Use this if you need to identify fraudulent smart contracts and deployers immediately as new tokens are launched on the Ethereum blockchain.
Not ideal if you are looking to audit established smart contracts or perform static analysis on code that is not yet deployed.
Stars
19
Forks
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Language
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License
MIT
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
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