Last Updated: 17 December 2024 | Change Log

Web Device Data

When combined with order and transaction details, device data (IP Address, Device Id, Geolocation Information, etc.) can be a strong indicator for fraud or used via GeoIP lookup to create manual rules based on location. Utilizing device data with Access FraudSight is a two-step process. Step one is to collect the device data. Step two is to submit an assessment that will use the device data for evaluation. Described below is step one for Web (JS).

ThreatMetrix JS

ThreatMetrix JS library for web sites. It leverages the ThreatMetrix platform to detect fraud and security vulnerabilities originating from browsers in real-time.

Overview of implementation

Create a JavaScript file containing the "Threatmetrix JavaScript V4" data below. The name of the file should be anonymous, e.g asdfghjkl.js
Rename the function threatmetrix.profile (from the file asdfghjkl.js) to something anonymous, e.g. awddc.prfl
On the web page where device data collection will occur, place the following (or similar) in the head section
<script type="text/javascript" src="path/to/asdfghjkl.js"></script>
Call the device profiling function (awddc.prfl) from the web page using the following (or similar)
<script type="text/javascript">awddc.prfl ("PROFILING_DOMAIN", "ORGANISATION_ID", sessionid);</script>

Note: See “Details Required” section below describing function parameters.

Threatmetrix JavaScript v4

Change the function name threatmetrix.profile to one of your own in the following:

var threatmetrix=threatmetrix||{};threatmetrix.version=4,threatmetrix.create_url=function(t,e,r,n,c){function i(){return Math.floor(2742745743359*Math.random())}function a(){return o(i())}function o(t){return(t+78364164096).toString(36)}var m=i(),u=i(),l=885187064159;u=((u=u-u%256+threatmetrix.version)+m)%2742745743359,l=(l+m)%2742745743359;var s="https://"+t+"/"+(m=a()+o(m))+e,h=[(u=o(l)+o(u))+"="+r,a()+a()+"="+n];return void 0!==c&&c.length>0&&h.push(a()+a()+"="+c),s+"?"+h.join("&")},threatmetrix.beacon=function(t,e,r,n){var c="turn:aa.online-metrix.net?transport=",i="1:"+e+":"+r,a={iceServers:[{urls:c+"tcp",username:i,credential:r},{urls:c+"udp",username:i,credential:r}]};try{var o=new RTCPeerConnection(a);o.createDataChannel(Math.random().toString());var m=function(){},u=function(t){o.setLocalDescription(t,m,m)};"undefined"==typeof Promise||o.createOffer.length>0?o.createOffer(u,m):o.createOffer().then(u,m),setInterval(function(){o.close()},1e4)}catch(t){}},threatmetrix.load_tags=function(t,e,r,n){threatmetrix.beacon(t,e,r,n);var c=document.getElementsByTagName("head").item(0),i=document.createElement("script");i.id="tmx_tags_js",i.setAttribute("type","text/javascript");var a=threatmetrix.create_url(t,".js",e,r,n);i.setAttribute("src",a),threatmetrix.set_csp_nonce(i),c.appendChild(i)},threatmetrix.csp_nonce=null,threatmetrix.register_csp_nonce=function(t){if(void 0!==t.currentScript&&null!==t.currentScript){var e=t.currentScript.getAttribute("nonce");null!=e&&""!==e?threatmetrix.csp_nonce=e:void 0!==t.currentScript.nonce&&null!==t.currentScript.nonce&&""!==t.currentScript.nonce&&(threatmetrix.csp_nonce=t.currentScript.nonce)}},threatmetrix.set_csp_nonce=function(t){null!==threatmetrix.csp_nonce&&(t.setAttribute("nonce",threatmetrix.csp_nonce),t.getAttribute("nonce")!==threatmetrix.csp_nonce&&(t.nonce=threatmetrix.csp_nonce))},threatmetrix.cleanup=function(){for(;null!==(hp_frame=document.getElementById("tdz_ifrm"));)hp_frame.parentElement.removeChild(hp_frame);for(;null!==(tmx_frame=document.getElementById("tmx_tags_iframe"));)tmx_frame.parentElement.removeChild(tmx_frame);for(;null!==(tmx_script=document.getElementById("tmx_tags_js"));)tmx_script.parentElement.removeChild(tmx_script)},threatmetrix.profile=function(t,e,r,n){void 0!==t&&void 0!==e&&void 0!==r&&8===e.length&&(threatmetrix.cleanup(),threatmetrix.register_csp_nonce(document),threatmetrix.load_tags(t,e,r,n))};

Details required

To call the device data function you need the following details:

Placeholder	Description
`ORGANISATION_ID`	For testing use: `afevfjm6` For live use: `dzppsd1h`
`PROFILING_DOMAIN`	For testing use: `ddc-test.worldpay.com` For live use: `ddc.worldpay.com`
`sessionId`	You must generate a unique value for the page view to represent that specific device data collection. Note A valid sessionId is between 30 and 128 characters long and consists of only upper or lowercase English letters (a-z, A-Z), digits (0-9), hyphens (-) or underscores (_). To make an incorrect match unlikely we recommend a UUID.

Example sessionId generation

You must submit the sessionId in the assessment request in order for the device data to be applied as part of the risk assessment. Generating this in the backend as part of the page generation is recommended. Alternatively, you can generate it via JS and then submit it, so it's available in the backend.

function create_uuid() {
  return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
   var r = Math.random() * 16 | 0,
     v = c == 'x' ? r : (r & 0x3 | 0x8);
    return v.toString(16);
 });

Call Threatmetrix function

var sessionid = create_uuid(); // function to create UUID
awddc.prfl ("PROFILING_DOMAIN", "ORGANISATION_ID", sessionid); // call Threatmetrix

Linking the device data with the assessment

When sending the FraudSight assessment request include the sessionId in deviceData.collectionReference

Next steps

Assessment