A deep technical article exploring how AI, feature engineering, and static smart-contract analysis uncover rugpull risks before humans detect them. Covers Solidity pattern mining, mint abuse detection, blacklist/fee manipulation signals, ML-inspired scoring models, and how to quantify ERC-20 token scam probability.

data-science machine-learning static-analysis smart-contracts cybersecurity solidity web3 feature-engineering erc20 security-research ai-security blockchain-security tokenomics decentralized-finance risk-scoring defi-security smart-contract-auditing token-security rugpull-detection ml-in-blockchain

• Updated Nov 19, 2025

🛡️ Leverage AI to uncover hidden risks in ERC-20 tokens, detecting rugpulls before they harm investors. Analyze Solidity code for real-time threat assessment.

data-science machine-learning static-analysis smart-contracts cybersecurity solidity web3 feature-engineering security-research ai-security tokenomics decentralized-finance risk-scoring defi-security smart-contract-auditing token-security rugpull-detection ml-in-blockchain

• Updated Feb 13, 2026