Built for Financial Services Teams — Banks, Lenders & BNPL Platforms

Every device verified. Every synthetic identity exposed.

Synthetic identity fraud costs US lenders $20B+ annually. Credit bureau checks don't catch device-hopping fraudsters. Fingerprint adds the device-level signal that makes every loan and account decision more accurate — 99.5% visitor identification accuracy, persisting for months.Synthetic identity fraud costs US lenders $20B+ annually. Credit bureau checks don't catch device-hopping fraudsters. Fingerprint adds the device-level signal that makes every loan and account decision more accurate — 99.5% visitor identification accuracy, persisting for months.

Talk to SalesDownload the Fraud Guide
I'm a developer
Hello, visitor IDnmQiTQEpkF7WXl0UQ54R
Your visit summaryYou visited 1 time
Incognito1 session
IP address1 IP
Geolocation1 location

Your visit history

Now
Centreville, United States
Location map
IP Address

113.30.192.168

Incognito mode

Detected

Browser

Chrome 146.0.0

VPN

Detected

-1015

Suspect Score

You look like a suspicious user

We detected signals that correlate with fraud risk.

See how this is calculated
This is a demo.
Production accuracy will be higher

Trusted by 200+ fintechs, banks, and BNPL platforms worldwide

What we solve_

What Fingerprint solves for financial services

Device-level truth for every loan, account, and transaction decision.
Stop fraud at the device layer — before losses hit your balance sheet.

See all Use Cases
Account Takeover
Stop fraudsters from taking over banking and lending accounts. Fingerprint identifies the device behind every login — catching returning attackers even when they rotate browsers, IPs, and devices.
Stop fraudsters from taking over banking and lending accounts. Fingerprint identifies the device behind every login — catching returning attackers even when they rotate browsers, IPs, and devices.
Payment Fraud & BNPL Abuse
Catch BNPL abusers and first-party fraudsters who apply across multiple lenders using the same device. Device fingerprinting persists for months — long after cookies expire.
Catch BNPL abusers and first-party fraudsters who apply across multiple lenders using the same device. Device fingerprinting persists for months — long after cookies expire.
Synthetic Identity Detection
Catch synthetic identities at application time, before a loan is funded. Device signals reveal patterns that credit bureau data alone cannot.
Catch synthetic identities at application time, before a loan is funded. Device signals reveal patterns that credit bureau data alone cannot.
Bot Detection
Detect malicious bots, automation tools, and other sophisticated threats to prevent real-time attacks.
Detect malicious bots, automation tools, and other sophisticated threats to prevent real-time attacks.
Visitor ID_
Et9Ipke6WRQIDdtH4suY
Suspect Score_
1
Geolocation_
Lima, Peru
VPN_
Not Detected
Browser Tampering_
Not Detected
Incognito_
Not Detected
Why Fingerprint_

The device signal your
risk models are missing

Most fraud prevention tools rely on session cookies that expire in 7 days. Fingerprint's device identity persists for months — so a synthetic identity that applied in January is still recognizable when it reapplies in June. 99.5% accuracy, even when browsers are rotated.

Learn More
0
30
60
90
120
Signal persistence vs. cookie-based toolsmonths after initial identification (Fingerprint persists; cookies expire in 7 days)
0 days
Fingerprint-0.0%
Competitors-0.0%

Any browser, any device.

Identify returning web and mobile app visitors on all browsers, iOS, and Android, with exceptional accuracy.

/> > >

Identify all anonymous visitors.

Get details on suspicious visitors even when VPN, incognito mode, or a tampered browser or device is used.

Delight your trusted users.

Personalize user experience and reduce 2FA and OTP requirements by identifying logged-out users.

Customer Stories_

How financial services teams stop fraud with Fingerprint

Fingerprint gives risk teams the device-level signal to stop fraud across every channel — account opening, login, payment, and BNPL applications.

See all Case Studies

Fingerprint helps Booking.com stop fraud while building customer trust.

Fingerprint provides clear device-level signals we can use to prevent fraud and reduce losses, while also enabling smoother customer journeys. It acts as fraud detector and a trust enabler. Leading financial services teams apply the same device intelligence philosophy — treating every interaction as a device event, not just a session.

Andreas Zodhiates

Head of Payment Fraud
@ Booking.com

Enterprise

fingerprint.com
For Developers_

The device intelligence layer for your risk stack

Drop into your existing fraud platform — works with leading SIEM tools,
fraud decisioning engines, and KYC providers.
Over 100 device signals,
enriching every risk decision with persistent device identity.

Star
27K+

{}

response.json

VPN Detection

IP Geolocation

High-activity Device

Raw Device Attributes

IP Blocklist Matching

Tampering Detection

Browser Bot
Detection

Privacy-focused
Settings

{
  "event_id": "1777983329220.FfPayG",
  "timestamp": 1777983329234,
  "environment_id": "ae_onSeHjdsYUDkiONX",
  "sdk": {
    "platform": "js",
    "version": "4.0.3",
    "integrations": [
      {
        "name": "custom-proxy-integration",
        "version": "1.0.2"
      },
      {
        "name": "custom-proxy-integration",
        "version": "1.0.4"
      },
      {
        "name": "fingerprintjs-pro-react",
        "version": "3.0.0"
      }
    ]
  },
  "replayed": false,
  "identification": {
    "visitor_id": "nmQiTQEpkF7WXl0UQ54R",
    "confidence": {
      "score": 1,
      "version": "v1.1"
    },
    "visitor_found": false,
    "first_seen_at": 1777983329234
  },
  "tags": {
    "referrerLink": "https://www.google.com/"
  },
  "url": "https://fingerprint.com/",
  "ip_address": "113.30.192.168",
  "user_agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36",
  "client_referrer": "https://www.google.com/",
  "browser_details": {
    "browser_name": "Chrome",
    "browser_major_version": "146",
    "browser_full_version": "146.0.0",
    "os": "Linux",
    "os_version": "",
    "device": "Other"
  },
  "bot": "not_detected",
  "developer_tools": false,
  "ip_blocklist": {
    "email_spam": false,
    "attack_source": false,
    "tor_node": false
  },
  "ip_info": {
    "v4": {
      "address": "113.30.192.168",
      "geolocation": {
        "accuracy_radius": 50,
        "latitude": 38.84039,
        "longitude": -77.42888,
        "postal_code": "20120",
        "timezone": "America/New_York",
        "city_name": "Centreville",
        "country_code": "US",
        "country_name": "United States",
        "continent_code": "NA",
        "continent_name": "North America",
        "subdivisions": [
          {
            "iso_code": "VA",
            "name": "Virginia"
          }
        ]
      },
      "asn": "22773",
      "asn_name": "Cox Communications Inc.",
      "asn_network": "113.30.192.0/21",
      "asn_type": "isp",
      "datacenter_result": false
    }
  },
  "proxy": false,
  "proxy_confidence": "high",
  "incognito": true,
  "privacy_settings": false,
  "suspect_score": 40,
  "tampering": true,
  "tampering_confidence": "high",
  "tampering_ml_score": 0.9954,
  "tampering_details": {
    "anomaly_score": 1,
    "anti_detect_browser": true
  },
  "velocity": {
    "distinct_ip": {
      "5_minutes": 1,
      "1_hour": 1,
      "24_hours": 1
    },
    "distinct_country": {
      "5_minutes": 1,
      "1_hour": 1,
      "24_hours": 1
    },
    "events": {
      "5_minutes": 1,
      "1_hour": 1,
      "24_hours": 1
    },
    "ip_events": {
      "5_minutes": 1,
      "1_hour": 1,
      "24_hours": 1
    }
  },
  "virtual_machine": false,
  "virtual_machine_ml_score": 0.119,
  "vpn": true,
  "vpn_confidence": "high",
  "vpn_origin_timezone": "America/New_York",
  "vpn_methods": {
    "timezone_mismatch": false,
    "public_vpn": false,
    "auxiliary_mobile": false,
    "os_mismatch": true,
    "relay": false
  },
  "high_activity_device": false,
  "raw_device_attributes": {
    "font_preferences": {
      "default": 149.3125,
      "serif": 149.3125,
      "sans": 144.015625,
      "mono": 132.625,
      "apple": 149.3125,
      "min": 9.34375,
      "system": 162.546875
    },
    "emoji": {
      "font": "\"Times New Roman\"",
      "width": 1597.078125,
      "height": 17,
      "top": 9,
      "bottom": 26,
      "left": 8,
      "right": 1605.078125,
      "x": 8,
      "y": 9
    },
    "fonts": [],
    "device_memory": 8,
    "timezone": "America/New_York",
    "canvas": {
      "winding": true,
      "geometry": "2179b48bae2d564d33eadf7e35c993d8",
      "text": "3fa64ca13a1fdcb383453330abce257e"
    },
    "languages": [
      [
        "en-US"
      ]
    ],
    "screen_resolution": [
      800,
      600
    ],
    "touch_support": {
      "touch_event": false,
      "touch_start": false,
      "max_touch_points": 0
    },
    "architecture": 255,
    "cookies_enabled": true,
    "hardware_concurrency": 32,
    "date_time_locale": "en-US",
    "vendor": "Google Inc.",
    "color_depth": 24,
    "platform": "Linux",
    "session_storage": true,
    "local_storage": true,
    "audio": 124.04347527516074,
    "plugins": [
      {
        "name": "PDF Viewer",
        "description": "Portable Document Format",
        "mimeTypes": [
          {
            "type": "application/pdf",
            "suffixes": "pdf"
          },
          {
            "type": "text/pdf",
            "suffixes": "pdf"
          }
        ]
      },
      {
        "name": "Chrome PDF Viewer",
        "description": "Portable Document Format",
        "mimeTypes": [
          {
            "type": "application/pdf",
            "suffixes": "pdf"
          },
          {
            "type": "text/pdf",
            "suffixes": "pdf"
          }
        ]
      },
      {
        "name": "Chromium PDF Viewer",
        "description": "Portable Document Format",
        "mimeTypes": [
          {
            "type": "application/pdf",
            "suffixes": "pdf"
          },
          {
            "type": "text/pdf",
            "suffixes": "pdf"
          }
        ]
      },
      {
        "name": "Microsoft Edge PDF Viewer",
        "description": "Portable Document Format",
        "mimeTypes": [
          {
            "type": "application/pdf",
            "suffixes": "pdf"
          },
          {
            "type": "text/pdf",
            "suffixes": "pdf"
          }
        ]
      },
      {
        "name": "WebKit built-in PDF",
        "description": "Portable Document Format",
        "mimeTypes": [
          {
            "type": "application/pdf",
            "suffixes": "pdf"
          },
          {
            "type": "text/pdf",
            "suffixes": "pdf"
          }
        ]
      }
    ],
    "indexed_db": true,
    "math": "5f030fa7d2e5f9f757bfaf81642eb1a6",
    "font_hash": "d751713988987e9331980363e24189ce",
    "timezone_offset": "-04:00"
  }
}

API and webhooks

Request API Key

SDKs and libraries

Check out the SDKs

Integrations

Explore integrations

99.5%

Visitor Identification
Accuracy_

Months

Signal Persistence
(vs. days for cookies)_

200+

Fintech & Bank
Deployments_

Ready to catch what your risk models miss?

Add the device intelligence layer that credit bureau checks can't provide — persistent, accurate, fraud-stopping.