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Are you 100% sure on this or is there a chance, however slight, that the numbers above combined with a lucky guess at the expiry date would authorise?

Just wondering if you have picked numbers from a range than is not used by the cc companies and thus guaranteed to be invalid or if you’re just assuming that the chances of a random credit card number and a random expiry date matching up are as slim as to be virtually nil.

I’m doing something similar (generating a load of cc Luhn numbers) to test an ecommerce site and don’t want to accidentally have somebody billed.

[graham] The numbers are random, so technically there is a chance.

Usefull for testing e-commerce sites (because they should get past any pre-validation you do, and be declined at the card processor or bank stage).

In testing situations any expiry date within the next 3 years should work Feedback forces me to clarify this: These are NOT valid credit card numbers. They are random numbers that happen to conform to the MOD 10 algorithm.

You’d have to pick a number that is actually in use, then guess the correct name, address and CVV number for the bank to approve the transaction.

‘virtually nil’ is a good description First of all – with regard to testing CC numbers – if you’re testing against a LIVE CREDIT CARD ACCEPTANCE SITE – you really need to have your head examined.

Cards that are not facially valid send back a standard CARD_DENY [reason code] message so you can test negative-path too. Put in any CCC you wish, and give the purchaser any name you want.

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