Airline Edition

Product Overview

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Airline Edition Interested in receiving further information? Contact us today. Phone +45 70270585 Fax +45 70270599 E-Mail Request Information

Through the questions we have been asked in several of our business discussions with companies around the world including airlines, Cyberbit A/S has developed a VFraud Airline Edition which suits the needs of common functionality this type of business seeks.

This package features functionality like:

• Collecting important flight data, such as passenger names, addresses and destinations.
• Repeating customer behaviour and customer alerting through simple filter settings.
• Historical data verification with actual data.
• Unlimited number of combination of data verification and alerting.

• Updated Monthly
• Under constant development and expansion
• Total control of your transactions
• New anti-fraud filters are developed and added to compensate for newly discovered fraud
• Complete control of the VFraud system
• Great for gathering market data
• Multiple subscriptions packages available
• Accurate and up-to-date data source
• Supports countries worldwide
• Free customer support

Besides the advanced fraud screening, VFraud also offers you the ability to collect important data about your customers. With VFraud you are able to track the details of each customer that uses your services. The Airline Edition gives you the opportunity to collect important passenger behaviour data and deliver it in real time as a report. This report can be used for marketing purposes, to see consumer trends, behaviour, and card trends together with stats on returning customers.

Below you will find a short list of some of the data that can be used for marketing purposes and trend analysis:

• Card types used
• The use of card types separated by brand
• Advanced stats by grouping the sex of your customers
• Customer's country
• Where do your customers come from?
• How much money do your customers spend on your website?
• Are your customers female or male?
• First time or returning customer
• Turnover Peek dates
• Peek date, most turnovers on the day of the week
• Trend curve, with consumer key data

With the market data VFraud delivers, it will be easier for you to know where to spend your marketing resources, you are able to target your marketing better because your company will know what your customers want and where they are located.

The table below briefly describes the filters currently available in this package. Most filters can be setup and used in many different ways.

Filter	Description
Amount Average	Calculates the overall average transaction amount and checks if the incoming transaction amount exceeds the average with a given percentage.
BIN Country	Checks for which country this credit card comes from, and compare it against a white/blacklist for a match. It is designed to detect if the credit card is from a “high risk” country. With this filter you are able to either make a blacklist or a whitelist, depending on which countries are specified as “high risk” countries.
BIN vs IP	Checks if the credit card and the IP address being used are form the same country. This filter detects if for example a German credit card is being used from a location in the UK or any other combination of countries.
Blacklist	Blacklist a transaction on some defined data. This means if the transaction data contains the data defined in the blacklist, the filter will be triggered.
Blacklist IP	This filter gives you the possibility to add an IP address to the blacklist and if the IP address is being used to make a transaction this filter will be triggered.
Data Comparison	This filter checks if the same data has been used before in an earlier transaction. For example if the same credit card has been used more than once in a defined time frame or if the same IP address, address, email, name, phone, etc is being used more than once in a defined timeframe.
Decline Percentage	If the decline percentage in the VFraud system rises above the defined allowed decline percentage, this filter will be triggered.
Distance	Calculates the distance, in kilometers, between the cardholder address and the shipping address and checks if this distance exceeds the distance specified in the filter.
Free E-mail	Checks if the e-mail address being used, is a free email.
Identical Data	Check if transaction data is identical to another transaction made within a given timeframe. This filter can be set up in many combinations, for example if the two transactions come from the same IP address or they are using the same credit card number.
IP Country	Checks from which country this IP is from and holds it against a list of white/blacklisted countries. It is designed to flag transactions that are made from “high risk” countries. It can for example be setup to flag all transactions made from outside EU or from a none-OECD country or any other combination of countries.
MIN/MAX Filter	Checks if the transaction amount is within the given interval. This filter is designed to detect if the transaction amount is greater or lower than the predefined amount.
Proxy Detection	Screens the transaction against our database of known transparent proxies. If the cardholder is hiding behind a known transparent proxy, this filter will trigger an alarm.
Shipping Address	The filter can be setup to detect if the credit card, the IP address and the recipient of the goods is from the same country.
Time Frame	Checks if the transaction is made within a given time frame. It can be setup to use the time zone of the shop or the time zone of the cardholder. This filter is designed to flag transactions that had been made outside a given time frame.
Volume Growth	Checks if the growth of transactions or transaction amount exceeds the predefined percentage in a given time frame. This is specially designed to detect sudden rise of transactions and/or transaction amounts.
Watchdog	This filter allows the you to add a transaction for observation. This means that the filter will keep track of other incoming transaction that looks like the transaction under observation. It will compare the pattern/data of the transaction under observation and report if this is recognized in other transactions. It can be setup to automatically add special transactions to the observations list. This could for example be transactions that are marked as “stolen card”.