Credit Card Validator — Card validation code, IINs, and more

To use Card Validator, Paste card no in the given input box below and click on validate credit card button.

Credit Card Validator — Card validation code, IINs, and more

Credit Card Validator — Card validation code, IINs, and more

Superseoplus Credit Card Validator is a tool that checks card validation codes, IINs, and more.

Welcome to Superseoplus Credit Card Validator! This website is a helpful tool that keeps tabs on the IINs (Issuer Identification Numbers) and BINs (Bank Identification Numbers) of credit and debit cards.

IINs and BINs are the parts of a credit card number that can be used to determine the card type and the bank that issued the card.

This website is a free resource. Our database contains information on cards that have been issued by more than 1,500 different banks and have approximately 6,000 different IINs.

This website provides information for software developers who are interested in credit card verification libraries, as well as a free online tool for validating credit card numbers, a generator for fake "valid" credit card numbers, and a database of IINs that can be browsed for all of the major credit card issuers, including Visa, MasterCard, American Express, Discover, Diners, and UnionPay.

What exactly is an IIN?

The "Issuer Identification Number," also known as the "IIN," is typically comprised of the first 1-6 digits of a credit card number. These digits identify the financial institution that is responsible for issuing the credit card; they are not connected in any way to the account number of the person who has the credit card.

IINs are particularly helpful to developers in the fight against fraud because they can provide information such as the card type, country of issue, and card schema (debit or credit).

Superseoplus Credit Card Validator provides users with unrestricted access to their comprehensive database of credit card IINs.

More Information about Credit Card Validator and types of cards

Card Verification Procedures

Card validation is the process of determining whether or not a particular credit card can be used to make purchases online. There are processes that occur both before and after validation. A credit card is divided into four distinct components. Check the Luhn algorithm, identify the major industry, get the issuer identification number, and get your personal account number.

The numbers on credit cards are produced based on a set of predetermined guidelines. Before agreeing to take payment from a customer, it enables merchants to check that the card number presented by the customer is legitimate.

The Luhn algorithm is the name given to the formula that is used to compare a credit card number with your checksum.

In order to comprehend what makes up a credit card number, we can dissect it into its four component parts, which are as follows:

There are some relatively slight distinctions among the general architectures of the various credit card networks, despite the fact that these networks are extremely similar to one another.

It is important to take note that, with the exception of the format for the card number, the remaining details, such as the expiration date, CVV, and accountholder name, are always written in the same manner across all layouts.

Visa, Mastercard, American Express, and Discover are the four most prominent credit card networks in the world. This brings us back to our original topic.

1. Visa

The card numbers on Visa cards are distinguished by two separate characteristics:

The following is a selection of instances of standard Visa card numbers:

4956 6185 5002 8752

4081 9806 2935 3449

2. The MasterCard brand

Cards that are issued by Mastercard can be recognized by these two distinguishing features:

Here are a few samples of card numbers for Mastercards:

5453 6809 6059 3325

5492 2479 2143 8645

3. Amex (American Express) (American Express)

These two characteristics are present in the number arrangement of Amex cards:

The following are some examples of Amex cards:

3718 5810 1319 293

3499 2979 0395 594

4. Discover

The following characteristics allow for the identification of Discover card numbers:

The following are some examples of Discover cards:

6011 2653 9018 9036

6011 8328 2589 7994

Using the Luhn Algorithm, Step-by-Step Instructions on How to Check the Authenticity of a Credit Card Number

Although it may appear to be difficult, performing the Luhn algorithm on any given set of numbers is actually quite straightforward.

If you wanted to, you could finish the task in a couple of minutes with just a pen and some paper.

To further understand how the algorithm works, let's look at an example using a random card number, which looks like this:

6011 8328 2589 7994

If you want to manually check the validity of any card number against the Luhn algorithm, these are the procedures that you need to follow in order to do so.

First Step

Beginning on the right side of the string, multiply each alternating digit by 2 and record the product.

In this particular illustration, they would be:

6011 8328 2589 7994

After multiplying a number by itself, if the result is greater than nine, add the digits of that number together. For example, 6 x 2 = 12. Since 12 is greater than 9, we must put the digits together to get our answer: 1 + 2 = 3.

The following is what the new number is when this step is applied to it:

3021 7348 4579 5994

The Next Stage for Credit Card Validator

The following step is to sum up all of the digits.

3 + 0 + 2 + 1 + 7 + 3 + 4 + 8 + 4 + 5 + 7 + 9 + 5 + 9 + 9 +4

The Next Step

If the sum of all of these digits is a multiple of 10, that is to say, if it concludes with 0, then the Luhn method has been satisfied.

3 + 0 + 2 + 1 + 7 + 3 + 4 + 8 + 4 + 5 + 7 + 9 + 5 + 9 + 9 +4 = 80

The fact that the answer is 80 in this scenario indicates that the Luhn method may be applied successfully to this number.

In the last illustration, the credit card number was completely constructed, meaning that it concluded with a checksum or a 'check digit.'

If a card number, on the other hand, does not carry the checksum at the end, we can manually compute it by applying a formula to the other digits and using that formula.

Consider, for instance, the following number:

7992739871

Because there is no check digit at the end of this number, we can consider it to be insufficient. The term "payload" refers to any combination of numerals in the message that is not the checksum.

First Step

In the beginning, the computation of the checksum will follow the exact same steps as the Luhn algorithm technique.

Every alternate digit, beginning on the right, needs to have a multiplication factor of 2 applied to it. In the event that the total is greater than nine, an additional digit and a zero will be added.

The following are the numerical outcomes:

79947697772

The Next Stage

After the number has been produced by following the steps in the previous step, add all of the numbers together.

In light of what has been presented here, the total amount will be 67.

The Next Step for validating a Credit Card

In order to calculate the checksum, the total of the values is multiplied by the following formula:

((10 – x mod 10) mod 10) Equals x

In light of our illustration, the formula will look like this:

((10 – 67 mod 10) mod 10) = 3

The checksum will be equal to 3.

It is essential to keep in mind that any time fraudulent cards are used, the business that issued them suffers a loss. When a credit card is stolen, the card's owner is not held responsible, and credit card companies are typically unaffected by the situation.

On the other hand, the merchant will typically refrain from purchasing the good or service that is being offered, as well as the resources that are required to uncover the fraudulent activity and battle against the credit card company. In the event that an excessive number of fraudulent transactions take place, you run the risk of being subjected to higher processing costs, costly chargebacks, and possibly the termination of your merchant account, which would prevent you from conducting business.

However, with a little bit of automation and our assistance, you should be able to reduce the likelihood of these dangers occurring. Simply make use of our online card validator tool, and our technology will assist you in preventing fraud and increasing the number of credit card sales you make.

Never in a million years! The credit card number that was entered into our validator was derived through the application of the validation rules. However, in the interest of maintaining a high level of safety, we do not store these credit cards.