A valid credit card number has several fields and each of them has a meaning. For the technically inclined, this number complies to the ISO 7812 numbering standard. An contains a six-digit issuer identification number (IIN), an individual account identification number, and a single digit checksum.
The credit card numbers you generate on this page are completely random. When we say they are valid, we merely imply that they are a possible combination of characters which will validate when passed through the MOD 10 algorithm. You can also generate valid credit card numbers for specific Issuing Networks by utilising their particular prefixes. However, we do not provide you (obviously) with the correspondent verification code for these cards, as they are completely fake and made up randomly.
If you've ever found yourself trying to try a product online which required a credit card, even when you just want to take a look, you know why we made this. We believe there's no need to share such information with providers without the actual intent to buy stuff. Anyone can make a website with a form and require you to insert valuable and sensitive information which requires you to give up your privacy. This is a way to protect yourself in such situations.
The other reason we made this are programmers testing ecommerce websites, applications or other software. They usually need lots of fake data, and this is a very easy way to generate a bunch of valid credit card numbers in a split second. There's another tool for those times when you need to generate all other kinds of data.
2. It Should not be a valid CC Number(Valid CC Numbers can be checked using Luhn's algorithm as mentioned above). Also Assign keys component will randomly generate unique numbers for each CC Number (satisfies 1st point), but it will not ensure that the generated number is a valid account number (does not satisfy the 2nd point).datawarehouse.ittoolbox.com
A random number generator, or RNG for short, is a method of generating numerical values that are unpredictable and lacking in any sort of pattern. In game development, accessing "true" randomness is inconvenient at best, so programmers resort to using pseudo-random number generators, or PRNGs...www.roguebasin.com
Computers generate random number for everything from cryptography to video games and gambling. There are two categories of random numbers — “true” random numbers and pseudorandom numbers — and the difference is important for the security of encryption systems. This topic has become more controversial recently, with many people questioning whether Intel’s built-in hardware random number generator chip is trustworthy.www.howtogeek.com