Device Fingerprint

Know the device.
Stop the fraud.

A persistent, privacy-safe device and browser identity that links returning users, detects spoofing, and flags anomalies — before a single payment is processed.

99.7%
fingerprint accuracy
2ms
collection latency
70+
browser & device signals
serixo — device fingerprint · session_4f9a2b
Collecting
Device ID
dfp_7f3a9c2e1b840d5f
Browser ID
brw_c4d81e2f9a073b6c
94
Trust score
Known device · 7 prior sessions · low risk
✓ Verified
Browser
Chrome 121
OS
macOS 14.2
Screen
2560×1600
Timezone
Europe/Warsaw
Language
pl-PL, en
Canvas hash
✓ Stable
VPN / proxy — not detectedIP reputation clean
Browser automation — not detectedWebDriver: false
Device spoofing — not detectedUA consistent with canvas
Signal coverage

70+ signals.
One fingerprint.

Every browser and device emits dozens of stable, measurable characteristics. Serixo collects and hashes them into a single persistent ID — accurate across sessions, IP changes, and incognito mode.

Browser signals

User agent, browser version, installed plugins, language preferences, Do Not Track, cookie support, localStorage, sessionStorage, and IndexedDB availability.

22 signals

Hardware signals

Screen resolution, color depth, device pixel ratio, hardware concurrency, device memory, touch points, gyroscope and accelerometer presence.

18 signals

Rendering signals

Canvas 2D fingerprint, WebGL renderer and vendor, WebGL extensions, AudioContext fingerprint, and font detection via text metrics.

14 signals

Network signals

IP address, ISP, ASN, IP reputation score, VPN and proxy detection, Tor exit node check, datacenter IP flag, and geolocation consistency.

12 signals

Behaviour signals

Mouse movement entropy, keystroke dynamics, scroll patterns, time-on-page distribution, and click target precision — hard to spoof at scale.

9 signals

Session continuity

Cross-session device linkage, return visitor detection, IP delta tracking, device–user binding, and multi-account linkage across fingerprint changes.

8 signals
How it works

Collected in 2ms.
Persistent across sessions.

01

JS snippet loads

A 4kb async snippet fires on page load. It runs in a web worker to avoid blocking the main thread — zero impact on your Core Web Vitals.

02

Signals collected

70+ browser, hardware, rendering, and network signals are gathered simultaneously. Canvas and WebGL hashes are computed client-side, never raw.

03

ID computed & linked

Signals are hashed into a stable Device ID and Browser ID. If we’ve seen this device before, it’s linked to prior sessions and known users automatically.

04

Risk enriches payment

Device trust score, anomaly flags, and session history are attached to every transaction before routing — giving Smart Cascade a richer signal set.

Use cases

One ID.
Many applications.

Device Fingerprint feeds every other Serixo module — and stands alone as a fraud signal for your own rules engine.

Payments

Trusted device fast-track

Skip friction for known devices. When a fingerprint matches a verified user’s prior sessions, 3DS2 challenges and manual review are bypassed automatically.

Reduce 3DS2 challenge rate by 40%
Fewer false positives on returning customers
Higher approval rate on trusted devices
Account security

New device login alerts

Instantly detect first-time devices on existing accounts. Trigger step-up authentication or notify the user before the session proceeds.

Real-time new device webhook
Step-up auth integration via API
Configurable risk threshold per user tier
Fraud detection

Multi-account linkage

Catch fraudsters who create multiple accounts from the same device. Fingerprints persist across incognito mode, cookie clears, and VPN changes.

Links accounts even after cookie reset
Survives incognito and private browsing
Flags device reuse across fraud clusters
Risk scoring

Device risk as a signal

Device trust score, anomaly flags, and session velocity feed directly into Serixo’s Risk Scoring engine — adding a stable, hard-to-spoof dimension to every risk decision.

Device score available in Risk Score API
Configurable weight in routing model
Session velocity and anomaly flags included
Accuracy & performance

Built for production.
Not just demos.

Tested across 180M+ sessions. Accurate on modern browsers, privacy-hardened devices, and fingerprint-spoofing tools.

99.7%
Fingerprint accuracy
2ms
Collection latency
4kb
Snippet size (gzipped)
180M+
Sessions fingerprinted
70+
Device & browser signals
Get started

Device intelligence,
in one line of code.

Add the snippet, get a Device ID and trust score on every session. No backend changes required.

99.7%
fingerprint accuracypersistent device identity
2ms
collection latencyzero user friction
70+
browser & device signalscanvas, WebGL, audio