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Wolfpaw's Fraud Screening and Detection
v10.301 - Annual License $149.95
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For Miva v10.x.
The fraud protection solution used by Miva in their own stores !!
"I can’t imagine a merchant wanting to be online without this fraud protection module"
- Rick Wilson, CEO Miva Inc
"We have been using your app for four years and have not had a chargeback. Love it."
- Bob Tenney, thethreadexchange.com
"I still really like the module, by the way"
- Marcel VandenTop, President Intella Parts Company, Inc
"I've been using the following module VERY successfully for several years now in our Miva store..."
- Cale Reeder, cozywinters.com
Note: After purchase you will receive a registration code that activates the module.
This new version compatible with Miva v10.x stores adds the following features:
- IP whitelisting - orders from whitelisted IPs will not trigger a fraud check.
- IPv6 compatibility and whitelisting
- Compatible with minFraud's new risk score, insights and factors service levels
- Detects browser's IP address even if the server is behind a proxy, load balancer or CDN
- Uses your global mail settings for sending notification emails
Integrates the minFraud antifraud system from MaxMind, the makers of the GeoIP™ location database
and minFraud fraud screening and detection system, into Miva Merchant. MaxMind's fraud screening service examines online transactions from various angles and applies extensive fraud screening checks centered around IP geolocation, proxy detection, and reputation data. By leveraging non-personally identifiable data from thousands of merchants and comprehensive analysis, MaxMind's antifraud system is able to identify traits and patterns associated with fraudulent orders.
This module will help stop credit card testing, fraudulent orders and chargebacks. It can save you money on authorization fees, improve your merchant decline ratio, refund ratio and charge-backs - and may qualify you for lower credit card fees. The module sends merchants a fraud analysis email for each potential order or for only those exceed that exceed a preset risk score. If desired, the module can also reject orders that exceed a preset risk score before the payment gateway is contacted for credit card approval.
Fraud screening includes analysis of numerous factors including the geographical distance between the location of the customer's browser to the claimed billing city, state and country; high risk IP address analysis; location of customer's telephone number and postal code; free and high-risk e-mail analysis; open proxy detection; shipping remailer detection, and more.
Documentation
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