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#

solidity-analysis

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A hybrid Solidity + Python security toolkit that analyzes ERC-20 token contracts using static pattern extraction and ML-inspired scoring. Detects mint backdoors, blacklist controls, fee manipulation, trading locks, and rugpull mechanics. Outputs interpretable risk scores, labels, and structured features for deeper analysis.

  • Updated Nov 17, 2025
  • Solidity

A research-grade framework for extracting, classifying, and analyzing the "genetic" behavior of smart contract tokens. Identifies economic traits, supply mutations, fee patterns, permission risks, upgradeability vectors, and scam species using a structured gene taxonomy with risk scoring, HTML reports, and token comparison tools.

  • Updated Nov 29, 2025
  • HTML

πŸ” Analyze ERC-20 token smart contracts with ML-driven risk scores and labels to enhance security and identify potential threats.

  • Updated Feb 13, 2026
  • Solidity

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