Web App Fingerprinting and Fraud Prevention

Keyri provides a JavaScript agent for fraud analytics that produces durable device ID fingerprints that persist across sessions. It provides risk analytics data to your client and server for events you want analyzed. Trigger the fraud analytics agent at each event that you want to assess the risk of; the Keyri API will provide a summary of the risk level and details about the event's risk signals as well as details about the user such as location. The JavaScript agent is lightweight and can be deployed in a few minutes.

Features

• Retrieve device data for logging and analytics
• Create device identifier based on device data

Installing

Package manager

Using npm:

$ npm i @keyri/xray

Using CDN:

<!-- Adding library from NPM via UNPKG -->
<script type="module">
  // Pull Library from CDN
  import { XRAY } from 'https://unpkg.com/@keyri/xray/index.mjs';
</script>

Usage

Once the package is installed, you can import the library as follows. The library outputs an encrypted client object that you first pass to your server and thereafter use to make requests to the Keyri API.

import { XRAY } from '@keyri/xray';
 
const _xray = new XRAY(); // Instantiate the library
await _xray.load(); // Load into memory
const xray = _xray.xray; // Expose the main functionality
 
// Get Encrypted Analytics Payload returned locally
const encrypted_fraud_data = await xray.scan({ apiUrl: 'local' });

Data Transmission

Send the collected data to your server using your preferred method (Attached to a form submission, XHR, WebSockets, WebRTC, etc.).

Example payload from xray.scan():

{
  "encryptedB64Payload": "eyJjbGllbnRFbmNyeX...U4UmVJK09wOHc9PSJ9"
}