Search Engine Friendly (SEO)

By VISA
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If you suspect fraud:
1) Ask the customer for day/evening phone numbers, then call the customer with any questions.
2) Ask for additional information (e.g., bank name on the front of card).
3) Separately confirm the order by sending a note via the customer’s billing address, rather than the “ship to” address.

Be Alert for Transactions With Several of These Characteristics:
1) First time shopper
2) Larger-than-normal orders
3) Orders consisting of several of the same item
4) Orders made up of “big-ticket” items
5) Orders shipped “rush” or “overnight”
6) Orders shipped to an international address

Maintain customer database or account history to track buying patterns and compare individual sales for indicators
of possible fraud:
1) Orders shipped to a single address but made on multiple cards
2) Multiple transactions on one card or similar cards with a single billing address, but multiple shipping addresses
3) Multiple cards used from a single IP (Internet Protocol) address

 

Times means money. One fraudulent orders might easily cost you ten times the same
value sales just to cover the losses.

By smartly integrating Google Maps and FraudLabs web services, we done what
traditionally not been available to small merchants before.

 

CyberSource, eFunds, Retail Decisions

What tools are merchants using to ferret out fraudulent orders? Below, highlights from a recent survey:

75% – Address verification service. Checks that billing address listed by customer matches billing address on file with credit card company.

66% – Card verification number. Asks customer for an extra security code, often printed on the back of a credit card above the signature lines.

32% – Address point verification. Confirms a valid shipping address.

29% – Payer authentication services. Prompts users who have signed up for Verified by Visa or MasterCard's SecureCode for an additional password.

28% – Company-specific fraud screens. Checks order against company-specific data, such as typical order quantities.

27% – Negative lists. Checks mailing address against a database of addresses associated with past chargebacks or fraudulent activity.

25% – Automated decision/order screening. Uses a system that filters inbound orders based on business rules, automatically marking each order "accept," "reject" or "review."

25% – IP geolocation information. Checks whether the IP address of the computer used to place the order is physically near either the shipping or billing address.

24% – General industry model fraud screens. Checks for anomalous behavior that's not specific to the merchant.

23% – Velocity monitoring. Looks for patterns such as multiple orders going to one address or multiple customers with the same IP address or e-mail address.

 

Often times, a fraudulent order has no single characteristic that gives it away. "It's almost like dust building up on an object," CyberSource's Vic Dolcourt says. "Little bits of suspicion get added up." Some of those specks:

* Shipping address and billing address don't match.
* Customer orders multiple items in the same size, color or style.
* Customer wants the fastest delivery option, regardless of price.
* Order total is much higher than a typical order.
* Multiple orders are going to one address. One scam: Fraudsters enlist people to "work at home" in the United States by receiving lots of deliveries and reshipping them overseas.
* Shipping address has a box number or suite number, indicating that the recipient may have set up a temporary address at a post office or UPS Store.
* Shipping address is in a country where the retailer has experienced a high amount of fraud.
* Shipping address is associated with past chargebacks or fraud according to the U.S. Postal Inspection Service.
* Customer has put a fraud alert on his file with the credit bureaus.
* Customer's e-mail address is a free Web-mail account.
* Multiple order attempts are coming from one IP address but with different customer names and credit card numbers.
* The geolocation of the customer's IP address is on one continent and the shipping or billing address is on another.

How can I detect fraud? (American Express)
Certain behaviors often indicate that a transaction is
fraudulent. Trust your instincts. While the following situations
may also occur during a valid transaction, you should always
be aware of:
b multiple orders being mailed to the same address
b large orders of similar items
b high-value ticket items
b rush orders
b merchandise that is “re-sellable”
b out-of-pattern orders for your specific business
(volume and/or amount)
b consecutive Card numbers given within a short priod of time
b customers who sound suspicious on the phone and are unable
to verify Cardmember information (address, phone number, etc.)

Malcolm's Analysis on the Fradulent Order
==========================================
IP Address captured: 202.152.240.245
Date and time of Order (Malaysian Time – GMT +8): 15-Nov-2007 6:57:06 AM (this order was last month - November)
Date and time of Order (Georgia’s Time – GMT -5): 14-Nov-2007 5:57:06 PM

In our case above, 15 Nov is a Monday in Malaysia and Indonesia. The difference of hours between the time zone of Georgia and Malaysia is -13 hours (no Daylight Saving Time after 4th November 2007)
The transaction took place at 5.57PM Sunday 14 November 2007 (Georgia’s local time). Correct me if I am wrong.

We have come to understand a few patterns to look for in identifying a possible fraudulent order.
1. Check Fraud Score (highlighted by Green, Yellow or Red)
2. Check for orders through Proxy or using Free Email addresses.
3. When the country of the Billing Address and IP address are in 2 different countries, it is likely the buyer is buying from outside his/her billing or home country. It will be more alarming if countries of Billing, Shipping and IP Address are all different. In this case, a call should be made to the buyer.

Fraud Alert System

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