{"repo":"AmirhosseinHonardoust/ML-Powered-Token-Launch-Auditor","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/ML-Powered-Token-Launch-Auditor","clone":"git clone https://github.com/AmirhosseinHonardoust/ML-Powered-Token-Launch-Auditor.git","description":"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.","language":"Solidity","stars":19,"topics":["audit-automation","blockchain-security","cryptocurrency","cybersecurity","decentralized-finance","defi-security","erc20","feature-engineering","ml-security","python"],"license":"MIT","category":"blockchain-web3","readme_excerpt":"ML-Powered Token Launch Auditor Static & ML-Inspired Risk Scoring for ERC-20 Token Smart Contracts --- What Is This Project? ML-Powered Token Launch Auditor is a security-focused toolkit that analyzes ERC-20 style token smart contracts and produces: - A numeric risk score (0–100) - A risk level : Low , Medium , or High - A semantic label : - safe - suspicious - rugpull candidate - A feature breakdown explaining why the score was assigned Under the hood, the project performs: 1. Static feature extraction from Solidity source code 2. A heuristic, ML-inspired scoring model over those features 3. A clean JSON output suitable for: - dashboards - further ML training - logs / SIEM - CI pipelines Optionally, it also includes a Solidity registry contract that can store audit results on-chain. This project is designed to be: - Educational , easy to read and extend - ML-ready , feature-based, not just one-off rules - Security-focused , centered on real token scam patterns - Practical , CLI interface, sample tokens, ready to run --- Motivation Token launches are one of the most common attack surfaces in Web3: - Hidden owner mint functions → infinite supply → rugpulls - Blacklists & trading locks → honeypot behavior (you can buy but not sell) - Dynamic fee setters → stealth tax updates - MaxTx / MaxWallet → anti-sell or anti-whale mechanics Most retail users cannot read Solidity and are unable to evaluate: “Can the owner mint extra tokens?” “Can they silently turn on a 99% tax?” “Can they","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/ML-Powered-Token-Launch-Auditor/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}