BIN Intelligence: How to Choose a Live Card Before Buying

[Good Carder]

Introduction: Why BIN is 80% of success or failure​

You bought a card, carefully configured anti-detection, and used a clean residential proxy, but the payment failed with a do_not_honor error. You try a new card—same story. Next, a fraudulent refusal. You start blaming everything, but the problem is most likely one: the wrong BIN.

The BIN (Bank Identification Number) is the first six digits of the card number. The store and payment gateway use them to make a decision before you enter the CVV or cardholder name. The BIN determines the country, bank, card type, fraud level, and even whether the bank requires 3D Secure. If the BIN is "red," the card won't go through, even if it has a million rubles in its balance.

In this article, I'll cover the full system of BIN intelligence: from sources of fresh databases to risk analysis and the impact on payment processing. After reading this, you'll be able to evaluate any BIN in 30 seconds and decide whether to buy a card with that BIN or keep looking.

Part 1: What is BIN and Why Stores Hate It?​

The BIN (Bank Identification Number), also known as the IIN (Issuer Identification Number), is the first 6-8 digits of the card number. Each BIN uniquely identifies:

• Payment system: Visa (4), Mastercard (51-55), Amex (37), Discover (6011, 65), etc.
• Issuer country: for example, BIN 414720 belongs to Chase Bank USA
• Issuing bank: a specific financial institution
• Card type: debit, credit, prepaid
• Card level: Classic, Gold, Platinum, Business, etc.

Why BIN is the main target of antifraud​

Merchants and payment gateways (Stripe, Adyen, Braintree) maintain BIN blacklists. If a specific BIN (or an entire country) is implicated in fraudulent transactions, it is blocked at the gateway level — and no card with that BIN will be processed.

Stripe Radar allows merchants to "block cards with BINs on your blacklist." Adyen has a built-in feature to "block or trust a card based on its BIN." Braintree explicitly states: "A card may not be processed if its BIN indicates it was issued in a high-risk region."

The takeaway for beginners: you can buy a perfectly good card with a large balance, but if its BIN is already on the blacklist, the merchant will reject the payment before even knowing whether the card has any funds.

Part 2. Where to find fresh BIN databases: free and paid sources​

2.1 Free BIN checkers (for quick verification)​

These services are suitable for an initial BIN assessment. They show the country, bank, and card type, but do not provide information on fraud risk or 3DS.

Service	Peculiarities	Limits
binlist.net	A classic free checker, with data from open sources. Returns the scheme, type, prepaid flag, country, and bank.	5 requests per hour, hard limit
binx.vip	Non-VBV/Auto-VBV/Non-MCSC BIN Lists with Comments	No restrictions
bincheck.io	Database >365,460 unique BINs, updated regularly	Free, but API is paid
binlist.io	Open-source database of 343,063 BINs, available for download as a CSV file	No restrictions
bincodes.com	Free tools: BIN Checker, BIN Search, Credit Card Checker	There is an API with paid credits
fraudlabspro.com	BIN/IIN lookup for fraud detection, supports 8-digit BINs	Demo access is free

A good starting point: use binlist.io — you can download the entire CSV database and check BINs offline without any restrictions.

2.2. Paid BIN-APIs and databases (for serious work)​

Free services have outdated data. For accurate results, paid sources are required.

Service	Price	What does it give?
BinCodes Premium API	API credits, payment via PayPal	Extended BIN Information
BinBase Single License	$499 per license, 6 months of updates	Local BIN database for commercial use
BinBase Universal License	$999 per license, 24 months of updates	Full right to use the database in your products
Apify BIN Lookup Actor	Pay per event	Automated BIN checking via API
BIN Lookup API (Greip)	Freemium — 1,000 queries/month free, $25 for 10,000 queries	Chargeback risk assessment, fraud scoring

Tip: For a beginner with a budget of up to $100 per month, free services are enough to get you started. But once you start working with cards costing more than $10 each, upgrade to paid APIs; they pay for themselves with a reduced defect rate.

2.3. Telegram bots for BIN verification​

Telegram is the primary source of up-to-date BIN data in the carding community.

• Mrbannker is a popular BIN-checking bot that uses bins.ws.
• Bots with "non-VBV lists" — for example, @bestcardingshop provides BIN lists that don't require 3DS. Beware: these bots are often scams or sell outdated lists.
• Homemade bots – you can write your own bot in Python that queries the binlist API.

Warning: Public Telegram bots with BIN lists often contain outdated or deliberately false data. Use them only as a supplementary source, but always double-check with independent services.

2.4. Closed forums and darknet markets​

The main source of live and up-to-date BIN lists are specialized forums (on the darknet or TOR networks). They publish:

• Daily updates of BIN lists marked "fresh from carding".
• Non-VBV BIN lists with real traffic on Stripe/Adyen.
• BIN ratings - which BINs are currently working and which have been banned.

It's too early for a beginner. Without a reputation and understanding of the inner workings, you risk either buying an outdated list or running into a scam. Start by working with free BINs from open databases — once you understand which BINs work reliably, then move on to private resources.

Part 3. BIN Analysis: Country, Bank, Type, Fraud Level​

3.1. The issuer's country is the most important parameter​

Rule #1: The BIN country must match the proxy country. If your proxy is in the US, but your card's BIN is in Russia or Ukraine, the store will see a mismatch and reject the payment with a 99% probability.

High-fraud-risk countries (red):
Nigeria, Indonesia, Russia, and China. Cards from these countries are blocked by most gateways by default. Some processors (for example, ActionKit) block IP addresses from Brazil, Estonia, Ghana, Nigeria, and Vietnam.

Low-fraud-risk countries (green):
the US, Canada, the UK, Germany, France, Australia, Japan, and South Korea.

Medium-risk countries:
Poland, Czech Republic, Spain, Italy, Turkey, and the UAE are supported but may require additional checks.

3.2. Issuing bank: known and problematic​

Some banks are known for their lenient attitude toward online payments. Others, on the contrary, block everything.

Bank	Page	Peculiarities
Chase, Bank of America, Citi	USA	They work, but require 3DS for many transactions.
Barclays, Lloyds, HSBC	United Kingdom	Good cross-country ability, but high 3DS share
Deutsche Bank, Commerzbank	Germany	Stable, but often crashes on antifraud
Revolut, N26, Monzo	EU/UK	Virtual banks are at high risk of being blocked.

Important clarification: even at a "good" bank, a specific BIN can be blocked if it was used for fraud. Therefore, knowing the bank isn't enough — you need to check the specific BIN.

3.3. Card Type: Debit vs. Credit vs. Prepaid​

Prepaid cards are a deadly enemy for payment processing. "Orders made with prepaid cards are three times more likely to be fraudulent." Many stores block prepaid cards at the BIN level even before checking their balance.

How to determine whether a card is prepaid using the BIN: binlist.net has a "prepaid" field: true/false. If "prepaid" is true, it's best not to use the card.

Debit vs. Credit: Debit cards perform slightly worse than credit cards because they often have lower limits and stricter balance checks. But the difference isn't critical — a good debit card BIN can work better than a bad credit card.

3.4. BIN Fraud Score​

Advanced BIN services (such as Greip) calculate the BIN fraud score — the probability that a card in this range will be used for fraud.

Fraud Score	Risk level	Recommendation
0-30	Short	Take it boldly
30-60	Average	It works, but be careful.
60-80	High	Most likely it won't work
80-100	Critical	Don't take it

Free ways to assess BIN fraud risk:

• Compare the BIN country with the proxy country - a mismatch automatically increases the risk.
• Check if BIN is on any public blacklists (search for "BIN XXXXXX blacklist").
• Check the freshness of the BIN - old BINs (over 1 year old) are more often blocked.

Part 4. How BIN affects 3D Secure and recurring payments​

4.1. What is 3DS/VBV and how does BIN determine it?​

3D Secure (Verified by Visa, Mastercard SecureCode) is an additional level of authentication where the bank requires the buyer to enter a code from an SMS, a password, or confirmation in the app. This is a major problem for carders: without access to the cardholder's phone, a 3D card cannot be validated.

Non-VBV BINs are a range of BINs for which the issuing bank does not require 3D Secure. Either the bank does not support 3D Secure at all or has disabled it for certain types of transactions. Non-VBV BINs are the "golden grail" of carding. With these BINs, payments go through without additional confirmation. But there are some caveats:

• The BIN status (VBV/non-VBV) may change as banks gradually integrate 3DS.
• Public non-VBV lists quickly become out of date.
• Even a non-VBV card may require a 3DS for large amounts or on certain sites.

How to find a non-VBV BIN:

1. Fresh non-VBV lists are published on closed carding forums.
2. Some Telegram bots offer non-VBV verification (but the data quality is questionable).
3. Rule of thumb: Take a US/Canada BIN with a Credit type and check it on smaller sites - if 3DS doesn't pop up, the BIN is potentially non-VBV.

4.2. BIN and recurring payments (subscriptions)​

If you work with subscriptions (streaming, VPN, hosting), you need to understand how the BIN affects recurring payments.

The first payment requires a 3DS (unless the card is non-VBV). Subsequent subscription charges

can be processed without a 3DS, as merchant-initiated transactions. What this means for you:

• If the card has processed the first payment, it will most likely process subsequent charges as well.
• BIN stability is important for subscriptions — if the bank suddenly turns on 3DS after a month, the subscription will be canceled.

Which BINs are best for subscriptions:

• Large US banks (Chase, BofA) are stable.
• European banks more often enable 3DS dynamically, the risk of failure is higher.
• Prepaid cards are often blocked on the first charge.

Part 5. List of BIN lists guaranteed not to work on popular gateways​

This information is based on data from open sources and forums. Lists change daily, so consider them a guideline, not a set of rules.

5.1. BINs blocked in Stripe​

Stripe Radar automatically blocks BINs that have been used in BIN attacks or detected in fraudulent transactions. Stripe doesn't publish a specific list, but based on data from carding forums, problematic categories can be identified:

• Russian BINs are practically guaranteed to be rejected.
• Prepaid cards are being blocked en masse.
• Virtual cards from Revolut, N26, Payoneer.
• BINs that are sold en masse on markets — as soon as a BIN is "leaked" into the public domain, Stripe bans it.

How to check your BIN on Stripe: Try making a micropayment ($0.50-$1) on any Stripe site (for example, donate.wikimedia.org ). If the payment is rejected with the code "fraudulent" or "blocked," your BIN is blacklisted.

5.2. BINs blocked in Adyen​

Adyen supports BIN-level control at the risk profile level. Adyen merchants can block BINs from Adyen's global referral list, which includes cards known to be involved in fraud.

Problematic categories for Adyen:

• BIN from sanctioned countries.
• BINs issued by banks with high chargeback levels.
• BINs associated with known carding operations.

5.3. BINs blocked in Braintree​

Braintree (PayPal) blocks transactions if the BIN indicates that the transaction originates from a high-risk region or from a sanctioned bank.

Problematic categories for Braintree:

• BINs from OFAC (Office of Foreign Assets Control) countries – Iran, North Korea, Syria, Crimea, etc.
• BIN from Nigeria, Indonesia, Vietnam.

5.4 How to create a live list of working BINs yourself​

Instead of relying on other people's outdated lists, create your own:

1. Buy 5-10 cards with different BINs (from different sellers).
2. Run a test on 2-3 sites with different gateways (Stripe, Adyen, Braintree).
3. Record the results: which BINs passed, which ones failed with what codes.
4. Draw your own conclusions: add BINs that have passed through Stripe to your “whitelist”.

After 20-30 tests, you will have your own database of working BINs, which is more up-to-date than any public list.

Part 6. Practical Checklist: How to Evaluate BIN in 60 Seconds​

Before purchasing a card or entering a card, complete this checklist. Each step reduces the chance of a card being declined by 5-10% if completed correctly.

BIN pre-check (done before purchasing a card)​

• Enter the BIN in binlist.io to see the country, bank, type, and prepaid flag.
• Check the BIN country with the proxy country - they must match.
• Check the card type: prepaid: true - better not to take it.
• Assess the "freshness" of the BIN: if the BIN is from an old database (more than 6 months old), the risk of blocking is higher.
• Search the forums for the BIN (if you have access) – someone might have already tested it.

Post-verification (after rejection)​

• View the refusal code - fraudulent or blocked often indicate a problem with the BIN.
• Check the BIN using another checker - perhaps the data from the first one was incomplete.
• Compare with your own list of "black" BINs - keep track.

BIN Scoring Chart (Points System)​

Parameter	Good (+1)	Bad (-1)
Country BIN	USA, Canada, UK, Germany	Russia, China, Nigeria
Card type	Credit	Prepaid
Proxy mismatch	No	Yes
Bank	Large well-known	Virtual bank
BIN from a fresh source	Yes (up to 3 days)	No (older than 1 month)

Bottom line: if the score is between +3 and +5, the BIN is excellent. 0 to +2 is acceptable, but there are risks. -1 and below — don't buy.

Part 7. Common Mistakes Newbies Make When Choosing a BIN​

Mistake 1. They ignore the BIN country. US proxies, Russian BINs — rejection is guaranteed. "Country or card type mismatch — payment may be blocked."
Mistake 2. They take prepaid cards because they're cheap. Cheapness is no advantage if the card doesn't go through. Prepaid cards are rejected three times more often.
Mistake 3. They use the same BIN over and over. If the BIN doesn't go through on one site, try another. If it doesn't go through anywhere, blacklist it and forget about it.
Mistake 4. They don't check the BIN after a rejection. If you receive a fraudulent message, check the BIN using an independent checker. It might not be a proxy, but rather the BIN is blacklisted by the gateway.
Mistake 5. They trust publicly available non-VBV lists. If a non-VBV BIN list is publicly available, it's either out of date or intentionally incomplete. Working non-VBV lists are sold on closed forums and are updated daily.

Conclusion: BIN Strategy for Beginners​

Remember the simple formula for success when choosing a BIN:
Good BIN = Country USA/UK/Canada + Credit type + not prepaid + proxy match + freshness < 7 days

If you do not have access to paid BIN databases and closed forums:

1. Use binlist.io for basic checking (download CSV, check offline).
2. Test BIN on micro-payments ($0.50-1) before making major payments.
3. Maintain your own database of active and inactive BINs. This is more important than any public lists.

In the next article (your choice), we'll cover how to verify a card with micropayments, create your own checker, and avoid wasting valuable BINs on empty tests.

A quick one-line reminder:
"The BIN determines the country, bank, and type. BIN country = proxy country, Credit is better than Prepaid, non-VBV is gold, but don't trust public lists."