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scam-detection

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ClickShield

🛡️ ClickShield is a modern, user-friendly web application that helps users identify potentially malicious websites and phishing attempts. Built with React and TypeScript, it leverages Google's Safe Browsing API to provide real-time threat analysis and comprehensive security reports.

  • Updated Nov 8, 2025
  • TypeScript

This repository contains the source code and synthetic datasets used in the research on scam detection using deep learning models trained on data generated by Large Language Models (LLMs).

  • Updated May 20, 2025
  • Jupyter Notebook

Crypto-Labeler is an advanced, AI-powered labeling and moderation tool dedicated to protecting the BlueSky community. By identifying and addressing crypto spammers, scammers, phishing attempts, and other malicious activities, it fosters a safer, more trustworthy, and transparent online environment for all users.

  • Updated Mar 12, 2025
  • TypeScript

A cross-chain intelligence toolkit that maps suspicious smart-contract deployers across Ethereum, BSC, Arbitrum, and Base. Fetches deployer histories using Scan V2 APIs, builds a structured NetworkX graph, extracts ML-ready behavioral features, and assigns heuristic risk scores to identify scam clusters and malicious deployment patterns.

  • Updated Nov 24, 2025
  • Python

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