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Bin Code 448870 Details


Bin Code 448870 Details

Bin code448870
Issued CountryUNITED STATES (US)
NetworkVISA
Card TypeDEBIT
Issued BankTEXAS FIRST BANK
Card Length16 digits
Bank Url www.texasfirstbank.com
Bank CityUnknown
Bank Phone Number(281) 420-9660

Valid Credit Cards with Bin Code 448870

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Visa
DEBIT
4488705767196501
08/2026
922
Ian Dunk
8949 Rte Marie-Victorin
United States
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Visa
DEBIT
4488702195230812
03/2027
295
Jack Furrie
48 Bramoak Cres
United States
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Visa
DEBIT
4488705851519717
08/2027
222
Steeltown Ford
402-1940 Des Roseaux Rue
United States
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Visa
DEBIT
4488701453649887
12/2028
111
Ian D Smith
4643 Shumiatcher Cres
United States
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Visa
DEBIT
4488701167918438
10/2026
544
David E Edwards
96 Roosevelt Rue
United States
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Visa
DEBIT
4488706677131778
01/2028
503
Wayne Seaward
14 915 Turret St
United States

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.

Generate Credit Cards Numbers in Bulk:


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.