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Larry C. Adams, CPA
Phoenix, Arizona USA

Certified Public Accountant
 Certified Fraud Examiner

E-mail fraudwritr@aol.com 

 
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July 2002 Topics
Credit Card Generator, Friendly Fraud, Keep It Under Your Hat, LUHN Formula, Modulus 10, Mod 10, Double-Add-Double, and Triangulation

 

This article is in the July/August 2002 issue of
The White Paper
, the Journal of the Association of Certified Fraud Examiners.
 

Fraud In Other Words: Professional Jargon and Uncensored Street Slang
By Larry C. Adams, CFE, CPA, CIA, CISA
 

Credit Card Generator
Is this a good credit card number? Businesses use a credit card generator to verify the number fits an established algorithm and number series.
A “third-party fraud” in which the fraudster creates a credit card number using programs found on the Internet, often on hacker sites. Using a search engine query, you can find over 5,000 sites offering a credit card generator (CCG) or credit card verifier. A generator program allows you to select any type of card number you want – Diners, Carte Blanche, Visa, MasterCard, American Express or JCB (Japanese Credit Bureau). You can select any issuing bank or country. The first four or six numbers are the Bank Identification Number (BIN). The program will calculate the rest of the card number. One free site will allow you to download 1,000 usable credit card numbers. The fraudster hopes to find a working number that is already in use and not previously reported as stolen. The fraudster tests these numbers by making “under the radar” purchases for small amounts at grocery stores, gas stations, movie theaters, or porn sites, where transaction speed is a higher priority than fraud detection. If a generated number works, the fraudster attempts larger purchases. A perpetrator can submit a card number to hundreds of retail Web sites at one time.
Steve Gilmore, “Businesses Pay the Price for Online Credit Fraud”, http://moneycentral.msn.com/articles/
smartbuy/scam/1546.asp, March 14, 2002.
 
Friendly Fraud
A scheme in which a consumer uses his own credit card to purchase items on a Web site. When he receives the bill, he claims he did not authorize the transaction or receive the merchandise and services. The merchant knows the consumer visited the site because it gathered a significant amount of information about the consumer including his e-mail address. Unfortunately, a lot of this information is not useful in a chargeback dispute of a card-not-present (CNP) transaction. Gartner Inc. surveyed 156 top retailers with median revenue of $250 million and found that 2.64% of the retailers’ Internet transactions were chargebacks, compared to 1.24% of their offline transactions. Individuals typically commit friendly fraud. Organized crime typically commits non-friendly fraud. Non-friendly fraud occurs when a fraudster obtains someone else’s account number and uses it to buy goods and services.
Peter Petrone, “Detecting Credit Card Fraud in CNP Transactions”, ACFE Arizona Chapter meeting, March 12, 2002.
 
Keep It Under Your Hat
Keep it under your hat! A cowboy's ten gallon hat could hold a lot of secrets.To keep something secret. This phrase was popular in the American West in the 1800s. Most men carried their important documents, maps, and money inside their large cowboy hats. They wanted to keep them secret and shown to no one. Their hat was the first thing they put on in the morning and the last thing they took off at night. If someone knocked their hat off or pushed it askew, that was cause for a fight because their secrets might be revealed. In the 1920s, a popular song begged “Keep it under your hat! You must agree to do that. Promise not to breathe a word.” Today the phrase frequently refers to insider trading or bribery.
Bob Willis, “Cowboy Hat Tricks”, Highroads, AAA Arizona, Phoenix, Arizona, March/April 2002, pages 29 – 31.
 
LUHN Formula (Modulus 10, Mod 10, Double-Add-Double)
The simple Modulus 10 algorithm was created in the late 1960s by a group of mathematicians. Almost all institutions that create unique account and identification numbers use this formula. Credit card companies adopted the LUHN formula to generate, validate, and verify the accuracy of credit card numbers. The formula generates the last number of a card number, known as the checksum digit. The calculation doubles every other digit, adds all the digits together, and then subtracts the total from the next highest number evenly divisible by ten. Businesses use the formula to make sure a credit card is valid before sending the number for debit authorization. In Canada, the LUHN formula is used to check the validity of a person’s Canadian Social Insurance Number (SIN). The formula is in the public domain and anyone can use it.
Mike Hall, “Validation Algorithms”, http://www.brainjar.com/js/validation/
default2.asp, March 14, 2002.
 
Triangulation
Sold! - to the unsuspecting bidder on the computer. Beware of triangulation schemes.
A scheme that uses three parties to commit fraud using online auctions - the perpetrator, an online merchant, and a consumer. The fraudster advertises popular consumer electronics products, such as digital cameras, at deeply discounted prices on an online auction site. When a buyer places the highest bid, the fraudster orders the merchandise from a manufacturer’s Web site or a retail Web site and requests the package to be shipped to the address of the auction winner. The fraudster pays for the order with the credit card number stolen from a previous auction customer. The fraudster receives payment from the current auction winner though a person-to-person money-transfer service that routes the money to a foreign bank account, often in Eastern Europe. The fraudster never touches the merchandise because he can orchestrate the scam from thousands of miles away. The manufacturer or retailer learns of the scam when it receives a chargeback from the credit card company. The unsuspecting buyer loses out when the police stop by to question him and collect the stolen merchandise to keep for evidence. The auction buyer is scammed again when his credit card is used to purchase more merchandise for other buyers.
Daniele Micci-Barreca, “International Fraud and Technological Solutions”, eCTA News Archives, eCurrency Trade Association Inc., http://www.exchangeprovider.net/
ecta.cgi?page=news&artnum=09, March 14, 2002.
 
Larry C. Adams, CFE, CPA, CIA, CISA, is an audit consultant in Phoenix, Arizona. His latest book is Fraud In Other Words, Second Edition, 1999. He is a member of The White Paper Editorial Review Board. His e-mail address is fraudwritr@aol.com.
 

ã Copyright 2001 Larry C. Adams. All rights reserved.

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