The most advanced open-source browser fingerprinting library

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

Fingerprint Pro Wrapper for React Single Page Applications (SPA)

Node.js wrapper for FingerprintJS Server API

Node bindings for Castle

Official React Native client for Fingerprint. 100% accurate device identification for fraud detection.

Save From Frauds is a comprehensive application designed to track and report fraudulent entities (e.g., phone numbers, emails, websites) and their associated impacts. Users can log detailed reports describing the nature of the fraud, its impact (financial, emotional, reputational, etc.), and preventive measures to avoid similar scams.

Fingerprint Pro Plugin for Vue

The most accurate device intelligence platform to generate unique device identities and identifies anomalies

🏦 Modern digital banking platform for MENA region with AI-powered fraud detection, multi-language support, and Islamic banking compliance. Built with React, Node.js, and cloud-native architecture. 99.9% uptime, serving 15+ banks and 500K+ users across Algeria.

Identify anomalies in the user behaviour and prevent suspicious activity, in real time.

Boost your Android app security with Free Malware Detection—an easy-to-integrate SDK that scans for malicious or suspicious apps in the background. Leveraging package and permission blacklists plus installation source policies, it delivers actionable malware protection against evolving threats.

A lightweight Node.js + TypeScript backend that simulates a payment gateway proxy with fraud risk detection and LLM-based decision explanations.

Boost your Android app security with Free Malware Detection—an easy-to-integrate SDK that scans for malicious or suspicious apps in the background. Leveraging package and permission blacklists plus installation source policies, it delivers actionable malware protection against evolving threats.

A Raspberry Pi-enabled caller ID system which checks incoming landline calls against databases of known malicious callers, and displays a danger rating of the incomming caller on a web interface.

The Segment Source function allows you to use Fingerprint Pro visitor identification data as a data source in Segment. The function recieves the data through webhooks and normalizes them into Segment Specs.

Boost your Android app security with Free Malware Detection—an easy-to-integrate SDK that scans for malicious or suspicious apps in the background. Leveraging package and permission blacklists plus installation source policies, it delivers actionable malware protection against evolving threats.

A web app to detect fraudulent transaction from live SSE, using a custom trained machine learning model.

Backend API server built for HackMIT 2024 hackathon project. Features modular API endpoints and server infrastructure to support the hackathon application.

AccountGuard AI is a security analyst tool built for financial institutions, offering phishing email detection (text & URL-based) and fraud transaction analysis. It features a custom-trained machine learning model using the IEEE-CIS dataset