Risk Intelligence

Device Fingerprint

Generate unique, persistent device identifiers from browser and hardware attributes to detect spoofing and multi-accounting.

ISO/IEC 27001:2022
eIDAS Certified
ISAE 3402
GDPR Compliant
BSI C5
Przegląd

Advanced Device Identification and Fraud Detection

Device Fingerprint collects and analyses dozens of browser, hardware, and configuration attributes to create a stable, unique identifier for every device that interacts with your application. Unlike cookies, device fingerprints persist across sessions and private browsing modes, giving you reliable device-level intelligence for fraud detection and risk assessment.

  • Generate stable device identifiers from 70+ browser and hardware attributes
  • Detect emulators, virtual machines, and device spoofing tools in real-time
  • Identify multi-accounting by linking multiple accounts to the same device
  • Persist across cookie clears, private browsing, and incognito modes
  • Sub-200ms fingerprint generation with no impact on user experience
UżytkownikPrzechwycenieWeryfikacjaZweryfikowano
Funkcje

Wszystko, czego potrzebujesz

Zaawansowane funkcje zaprojektowane z myślą o wydajności i zgodności klasy korporacyjnej

Browser Fingerprinting

Collect and analyse browser-level attributes including canvas rendering, WebGL parameters, audio context, and font enumeration. Generate a unique browser signature that persists across sessions.

Device Identification

Combine hardware signals including screen resolution, CPU cores, GPU renderer, and memory to create a stable device identifier. Detect device changes and hardware spoofing attempts.

Spoofing Detection

Identify attempts to mask or alter device attributes using anti-detect browsers, emulators, or browser extensions. Flag inconsistencies between reported and actual device properties.

Multi-Account Detection

Link multiple user accounts that originate from the same device or device cluster. Detect fraud rings and bonus abuse by correlating device fingerprints across your user base.

Bot Detection

Distinguish genuine human interactions from automated bot traffic by analysing device signals, interaction patterns, and browser automation markers.

Device History

Maintain a complete history of devices associated with each user account. Track device changes, detect account sharing, and build device trust scores over time.

Zastosowania

Przypadki użycia

Zobacz, jak firmy wykorzystują Device Fingerprint w produkcji

01

Account Fraud Prevention

Detect and prevent multi-accounting, fake registrations, and promotion abuse by linking accounts to their true originating devices.

Identify users creating multiple accounts from the same device
Block known fraudulent devices from registering new accounts
Detect device farms and emulator-based fraud at scale
02

Session Security

Enhance session security by binding authenticated sessions to trusted devices and detecting device anomalies.

Flag sessions where the device fingerprint changes mid-session
Require step-up authentication when an unrecognised device is detected
Build device trust profiles that reduce friction for returning users

Gotowy, aby rozpocząć z Device Fingerprint?

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Wskazówki dotyczące integracji
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Indywidualne plany cenowe
Wymagania korporacyjne
Wsparcie z gwarancją SLA
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