Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
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Updated
Jul 11, 2024 - TypeScript
Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
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.
Official React Native client for Fingerprint PRO. 100% accurate device identification for fraud detection.
Fingerprint Pro Wrapper for React Single Page Applications (SPA)
Node.js wrapper for FingerprintJS Server API
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.
Fingerprint Pro Plugin for Vue
Node bindings for Castle
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.
Official Node.js library of Greip API
TradeSpace is an online platform that aims to provide a convenient and user-friendly way for individuals to sell their used products. The platform will serve as a marketplace where sellers can list their items and connect with potential buyers who are interested in purchasing pre-owned goods.
The official JS library of Greip
Este sitio utiliza AI para mostrar estadísticamente si un sitio web puede o no ser una estafa o un intento de fraude.
Prism web
this project show to use the library benford-analysis
Modern & flexible browser fingerprinting library
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