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BIN Lookup

Get details from the bin code being used by 16,000 banks from 209 countries and regions around the world


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Lookup by first digit

A credit card number or debit card number consists of two parts. The leading 6 digits in the front are called the "bank identification number (BIN)", also known as the "issuer identification number (IIN)", which is why the first 6 digits of some credit card numbers are the same. The remaining card number, except for the last digit, is your personal account number, the last digit is the Luhn check digit. A payment card number, primary account number (PAN) and bank identification number (BIN) share a common numbering scheme set By ISO/IEC 7812.

In other cases, the first 8 digits of a card number (including the initial MII digit) are known as the issuer identification number (IIN).

We have collected bin numbers for more than 16,000 banks in 209 countries and territories around the world, including almost all banks and their branches around the world, as well as some local banks around the world. We have collected more than 160,000 bin codes. If we use the first 8 digits as the bin number, we have more than 1,100,000 bin codes. These bin codes are being used.

The bin codes used by almost all credit card brands are included, including visa, mastercard, discover, jcb, etc. With these bin codes, we can generate 100% valid credit card numbers.

Popular Card Brand With IIN Range


Issuing network IIN ranges Active Length Validation
American Express34, 37 Yes 15 Luhn algorithm
China UnionPay62 Yes 16–19
Diners Club International36 Yes 14–19Luhn algorithm
300–305, 3095, 38–39 Yes 16–19
Diners Club(United States & Canada)54, 55 (MasterCard co-branded) Yes 16
Discover Card6011, 622126 - 622925, 624000 - 626999, 628200 - 628899,64, 65 Yes 16–19
JCB 3528–3589 Yes 16–19
Mastercard2221-2720Yes 201716
51–55 Yes 16
Visa4 (including related/partner brands: Dankort, Electron, etc.) Yes 16

Different issuing network use different, fixed IIN ranges, so usually you only need the first 1-2 digits of the card number to determine the card's issuing network. According to ISO/IEC 7812, the leading 1 digit is the major industry identifier (MII), all MIIs are listed below:

MII digit valueIssuer category
0ISO/TC 68 and other industry assignments
1Airlines
2Airlines and other future industry assignments
3Travel and entertainment and banking/financial
4Banking and financial
5Banking and financial
6Merchandising and banking/financial
7Petroleum and other future industry assignments
8Healthcare, telecommunications and other future industry assignments
9For assignment by national standards bodies

Generate Credit Cards Numbers in Bulk:


Generate Valid Credit Card Numbers

As mentioned earlier, we have collected globally valid bin codes that are being used by real credit cards, and then we can generate the same credit card number as the real credit card based on the credit card number rules.

All generated credit cards have the following features:

  • 100% Valid Credit Card Numbers
  • Generated based on the actual available bin codes
  • Bin codes from 209 countries and regions around the world
  • 100% FREE to generate credit cards
  • Used for data testing and verification purposes
  • Random expiration date added
  • With random 3-digit security code
  • Random name added
  • Random address added
  • More details like the issued country
  • Luhn algorithm checked
  • Mass generated

But you need to know, although the generated credit card number is 100% valid, exactly the same with real credit card number, but these card numbers are still not real, the given expiration date, cvv, name, address, etc. are randomly generated. These are not real, so these credit cards cannot be verified by authenticity and can only be used for testing and verification purposes.

Credit Card Number Examples

Credit Card IssuerSample Card Numbers

MasterCard
5289002503431477
5127174464129873
5324205239105904

Visa
4050683618112217
4003616402889119
4233851456824116

American Express
372849049028772
371034985203942
370247252275184

Discover
6011191837983536
6011550002711933
6011917507315736

JCB
3551684780116610
3568871181803075
3543791447556970

Why are these credit cards valid?

We have a database that collects the bin code that most credit cards in the world are using, a real bin code + a randomly generated personal account number + a single check digit calculated using the Luhn algorithm, we can get a 100% valid Credit card number.

At the same time, you need to know that although these credit card numbers are exactly the same as the real credit card numbers, these credit cards are not real, they do not have any actual REAL VALUE. There is no money in the card and you can buy nothing. You can't pass some websites that need to verify the authenticity of the credit card, such as amazon, paypal, etc.

What is Luhn algorithm or Luhn formula?

The Luhn algorithm or Luhn formula, also known as the "modulus 10" or "mod 10" algorithm, named after its creator, IBM scientist Hans Peter Luhn, is a simple checksum formula used to validate a variety of identification numbers, such as credit card numbers, IMEI numbers, etc. It was designed to protect against accidental errors, not malicious attacks. Most credit cards and many government identification numbers use the algorithm as a simple method of distinguishing valid numbers from mistyped or otherwise incorrect numbers.

BinGenerator.net Uses

If you came across an interesting product online wanted to check it out but the website owner wanted your credit card details which you kind of hesitant since you only wanted to check it out and you do not actually want to buy it then you know why this website is for. We believe acquiring such sensitive finanacial details wont be needed. Giving up such details is like giving up your privacy to website owners that you don't actually want to buy from. Credit card generated from this website do not work like an actual credit card these cards are simply for data testing and or verification purposes they do not have an actual real world value.

Other purposes of generating valid credit card numbers can be the following: It could be used for websites, software and applications that requires fake data for validation purposes. Test your eCommerce website and validate tests using our generated fake credit card numbers.