To get a better browsing experience, please use Google Chrome.Download Chrome
Free TrialAsk for Price
  • Products
  • Solutions
  • Customers
  • Blog
  • API Documentation
  • About Us
  • Demo

Device Fingerprint

Device Fingerprint generation is a reliable and unique device identifier that can utilize advanced AI algorithms and Darknet Research to recognize fake devices such as virtual device and phone emulator and help identifying darknet cheating risks from the perspective of device risks. Such product is to help different industries to protect business scenarios like marketing activities, payment transcations, channel promotion, user viral growth from cheating actions.


  • Uniqueness

    The device fingerprint rematching rate is as low as one in ten thousand, ensuring a one-to-one correspondence between each device and its ID, placing it at the forefront of the industry

  • Multiterminal Application

    Compatible with over 32,000 device models worldwide, supporting Android Q and iOS 14.5 or later versions

  • Abundent Labelling System

    Over 40 risk labels for devices, including false device labels, machine-controlled device labels, and suspicious device labels. Additionally, there are over 50 basic attribute labels

  • Strong Stability

    Embedded within the app, stable with zero crashes, ensuring stable data collection and accurate label precision across different vendor environments

  • Reliable Privacy Protection

    Attaining the highest-level protection certification, Level 3, for non-banking institutions, compliant with personal data protection laws, GDPR requirements for international expansion. It ensures no privacy breaches, supports transparent audits, and allows for the customization of data collection fields

Support the Detection of Various Risky Business

  • Device Unique Identifier

    This can support and generate a unique device identifier for every mobile device to help businesses in forming reliable user relations with advanced account security

  • Fake Device Label

    Fake Device Label includes over ten device labels that can identify pc emulator, cloud phone device, location spoofing, multi-boxing device with operating system (multi-instance), multi-boxing device with cheating apps, altered device, farm device, offer wall(reward wall) devices

  • Machine-Controlled Device Labels

    This label can recognize more than ten types of device risks associated with the latest black-market use of automatic control tools and script tools, including tools like device macros

  • Suspicious Device Labels

    This label can return over twenty suspicious devices risks such as root experience, no sim card on board, VPN usage, reset device

  • Device Property Labels

    This label return 50+ dimensions of device attribute fields, including Android ID, app version, device model, etc

Support Device Fingerprint Detection in Multiple Scenarios

Product Superiority

  • The product evolves rapidly, offering a global SaaS risk control network with sub-second iterations

    This complete evolutionary cycle encompasses real-time awareness of black-market dynamics, pattern discovery, data characteristics, model iterations, gray-scale validation, business interception, and case-based learning. Real-time stream processing is used to achieve real-time updates of models and behavioral profiles, thus creating a sub-second iteration global SaaS risk control service network

  • An end-to-end, full-stack strategy system, achieving high recall and high accuracy in fraud detection

    Deeply integrating models such as GCN, Node2V, Louvain, GAN, GBS, LSTM, and more to construct a full-stack model system, thereby preventing false positives and false negatives associated with a single model, and achieving high accuracy in fraud detection

  • A comprehensive scenario strategy system to prevent various business risks

    Utilizing techniques such as group mining, correlation analysis, time-domain analysis, machine learning, deep learning, and drawing from over a decade of professional risk control and anti-fraud experience across multiple industries, we have built an extensive and complete strategy system to comprehensively identify business risks

  • Lightweight and straightforward integration solution, quick deployment

    Utilizing industry-standard API interfaces for easy and simple integration, while also benefiting from the sub-second iterations and self-upgrading capabilities offered by the SaaS cloud service model

Quick Access Guide

  • One-click Application

    Click free trial to create a test service
  • Solution Formulation

    Our solutions experts will contact you promptly
  • API Interface

    Test quickly connects to the product for product testing

Live Chat