🎁 Securing your crypto journey, one block at a time.
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Updated
Nov 13, 2025 - JavaScript
🎁 Securing your crypto journey, one block at a time.
A strict iOS app that analyzes link safety like a nutrition label (no AI, offline)
Archive of the official PhishDestroy blog, following an unjust platform suspension on Medium.
AI Crypto Scam Detector
🛡️ 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.
Python wrapper for RugCheck API
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).
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.
OpenSiteTrust is an open, explainable, and reusable website scoring ecosystem
AI Scam Detection & Awareness Bot | Cybersecurity for Bharat | PS-005
🤖 Real-time WhatsApp Scam Detector powered by AI and automation – Protect your users, your business, and your peace of mind.
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.
AI-powered tool for detecting phishing, scam, and spam in messages, links, and phone numbers - open-source, privacy-friendly, and built with Flask.
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.
Should be a bot that bans those scammy NFT pet links or something, idk. Running instance: https://t.me/nfuckbot pls use with caution, can remove safe urls.
An AI-powered phishing detection tool that uses machine learning to identify and block scam links. Built with Flask to ensure a secure, real-time user experience.
AI-powered safety analysis for K-pop merchandise trading - Helps international fans overcome language barriers and detect scam signals
a tiny web app to tell if a villager from minecraft is scamming you
Open-source Tool. Uses reputation to find outliers among entities.
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