AmirhosseinHonardoust/Onchain-Security-Suite
A complete Web3 security toolkit combining AI-powered token auditing, ML-based deployer reputation scoring, and live Etherscan V2 data. Includes static analysis for rugpull detection, RandomForest reputation modeling, contract-fetching automation, and Solidity on-chain registries for transparent, reproducible security insights.
Combines Python-based static analysis with scikit-learn's RandomForest to score both token contracts and deployer addresses across multiple risk dimensions (rugpull patterns, transaction history, supply mechanics). Fetches real contract source and deployer history via Etherscan V2 API to automatically build training datasets, then persists audit results and reputation scores to two Solidity registries for on-chain verification and reproducibility.
Stars
22
Forks
—
Language
Python
License
MIT
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
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