GitHub topics: scam-detection
chartingshow/crypto-firewall
🎁 Securing your crypto journey, one block at a time.
Language: JavaScript - Size: 109 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 18 - Forks: 1
sigfault-byte/LegitURL
A strict iOS app that analyzes link safety like a nutrition label (no AI, offline)
Language: Swift - Size: 12.4 MB - Last synced at: 2 days ago - Pushed at: 4 days ago - Stars: 10 - Forks: 1
ucinho/nexabits
Smart token deployment made easy — one-click launches with built-in scam detection for safer Web3 projects.
Language: JavaScript - Size: 68.6 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 1
jeanpauldejong/blocktrace-unit-9
GhostKYC — A proof-of-concept agent system that flags blockchain risk without full KYC, using scenario-driven analysis.
Language: Python - Size: 3.15 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
BothBosu/Synthetic-Data-for-Scam-Detection-Leveraging-LLMs-to-Train-Deep-Learning-Models
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).
Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 5 - Forks: 0
eddieoz/atproto-scam-detector
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.
Language: TypeScript - Size: 146 KB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 2
ccan23/rugcheck
Python wrapper for RugCheck API
Language: Python - Size: 133 KB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1
HiroshiJoe/PH-Scam-EDA
This repository includes analysis and models for distinguishing "Scam" from "Non-scam" messages. The data, originally extracted from images via OCR for the ScamGuard project, is used here to apply sentiment analysis and machine learning techniques to improve scam detection.
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
jonesterrance/AI-Crypto-Scam-Detector
AI Crypto Scam Detector
Size: 1.95 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 14 - Forks: 0
theopenmachinecro/DeFi-Dominator-Trading-Bot
This Bot, a DeFi Trading bot for ETH, BSC, AVAX, MATIC, FTM, Harmony, Metis, CRONOS, KCC, VELAS, Pulsechain, Venom, Kaikas, Milkomeda, Solana and more. As well as farming yield, mining liquidity, and sniping only profitable CHAIN tokens during listing while avoiding scam projects
Language: C# - Size: 333 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0
