home Home my account My Account bookmark Bookmark
credit card fraud credit card fraud credit card fraud
credit card fraud Products credit card fraud About Us credit card fraud Contact Us credit card fraud Online Demo credit card fraud Live Chart credit card fraud Developers credit card fraud FAQs credit card fraud Support credit card fraud
WEB SERVICES
 
10 Measures to Reduce Credit Card Fraud for Internet Merchants Download
10 Measures to Reduce Credit Card Fraud for Internet Merchants View HTML
 
Fraud Prevention Tips for:
Fraud Tips: Online Buyers Online Buyers
Fraud Tips: Online Merchants Online Merchants
Fraud Tips View HTML View HTML
 
 

FraudLabs™ Desktop


Fraudlabs Desktop
credit card fraud prevention  .NET Framework 1.1 - Download Now for Free 
 
credit card fraud prevention  .NET Framework 2.0 - Download Now for Free 
Product Overview
 
FraudLabs™ Detection Desktop is a free standalone Windows® application that allows instant detection of fraudulent online credit card order transactions using Windows GUI. This software enables users to perform query from the FraudLabs™ Fraud Detection Web Service. You can create a free account with 90 query credits per month using this application. windows
 
Software Description & Features
 
·

Look up FraudLabs™ Web Service: Query by IP Address, City, Region, Postal, Country, Domain, Phone, BIN, BIN Name, BIN Phone, License, Ship Address, Ship City, Ship Region, Ship Postal, Ship Country and Query ID.

 
· Easy to Use Interface: Intuitive interface for all users.
 
· Free Support: Free product support by email.
 
· Immediate Download: Download .NET Framework 1.1 , Download .NET Framework 2.0
 
System Requirements
 
·

Windows 98SE / NT4.0 / 2000 / Me / XP / Server 2003 / Vista / Windows 7

· Microsoft .NET Framework Version 1.1 / Microsoft .NET Framework Version 2.0
·

2 MB additional free disk space for FraudLabs Desktop

 
Related Products
 
IP2Location™ Geolocation
IP2Proxy™ Proxy Detection
BrowserObject™ Browser Detection
MailBoxValidator™ Email Validation
 
Copyright © 2004-2012 FraudLabs.com. All Rights Reserved.