HOW TO GET YOUR DUMPS BIN-LIST

So youve gone instore carding a couple times and you buy batches of cards that you know are valid however you still get declines, why is this? Well declines can happen for multiple reasons several being that you went to high for the card to handle the transaction, coding error, the actual cardholder used their card 1 hour and then the next you try half way across the country, or Region block, which is what we are trying to focus on eliminating with our binlist

What is a binlist? Why do I need one?

To answer this question we first must know what a BIN or IIN is, both of these are acronyms for Bank Identification number or Issuer Identification number. The BIN or IIN Is the first 6 digits on a credit card that determines the bank and level of the card, a BIN List is a list of BINs that you know will slide for your region, having a BIN list is the difference between guessing for approve and hoping to eliminating the guess and knowing it will work

So now that we know what a BIN and BIN list is how do we get one?

Alright so here is the tricky part, it takes money to make money so the first round of dumps you invest on should be a learning experience, I would suggest buying a mixpack of all different BINs and testing out one by one which ones work in your area, now I know what you are thinking How can I test these cards since I dont know my bins and its a guessing game whether its a decline or not, even worse what happens if it shows Hold call or Stolen??!!, Dont worry!,

What to do in order to test your card I would suggest:

1. Going to ANY self slide checkout, some areas have more than others
2. Go to one of those movie ticket vending machines where you can pay with CC,
3. Coca Cola or vending machines that take CC
4. and ive heard about these worldwide parking meters, apparently some have something where you can slide and pay

as your rolling through 1 by 1 in your list of dumps anyone that approves make sure to write that bin down, if you have any declined cards check with your vendor and if it is approve it is most likely a region blocked card,

Any card that approves you know is a BIN that works for you,

Now i know it seems like somewhat of a waste of money if you dont profit but after your going through your dumps if you have a dump that approved and you have duplicates of that BIN you can go try for a bigger purchase since you know that its a working BIN, the true reward from the first batch is getting that BIN-list since it is the CRUCIAL FACTOR!!! In determining your long term success, and you walking out of the store safe and sound with your item. After you have a good list, the bigger the list the better,
you can ask your vendor for a batch of BINs making your next round of dumps a Sound Investment guaranteeing your success since you are more aware this time around

After you get your binlist dont get to comfortable with the list, always be adding since overuse of 1 BIN in a region will cause that BIN to block,

Hope this information can be helpful to someone out there
Good luck Carders!! and as always
Stay Safe

What Is a BIN List? A Deeper Dive for Educational Purposes​

In the context of credit card fraud (commonly referred to as "carding" in underground circles), a BIN list — short for Bank Identification Number list — serves as a critical tool for both legitimate financial institutions and illicit actors. To clarify, the BIN (or IIN, Issuer Identification Number) itself is the first 4–8 digits (typically 6) of a payment card's number, which uniquely identifies the issuing bank or financial institution, the card brand (e.g., Visa, Mastercard, American Express), the card type (credit, debit, prepaid), and sometimes geographic or product-specific details like country of issuance or premium status. This numbering system follows ISO 7812 standards, with the first digit indicating the major industry identifier (e.g., 4 for Visa, 5 for Mastercard) and subsequent digits narrowing down the issuer.

A BIN list, then, is essentially a database or curated compilation of these BINs, often including metadata like the issuing bank's name, country, card level (e.g., high-limit vs. standard), and security features (e.g., whether it requires Verified by Visa or 3D Secure authentication, known as VBV in carding slang). These lists can range from free public datasets (e.g., open-source CSV files on GitHub with thousands of entries) to proprietary, subscription-based services updated daily to reflect new issuances or blocks. For instance, a basic BIN list entry might look like this in a table format for clarity:


(Data adapted from public BIN databases; real lists are far more extensive, often exceeding 300,000 records.)

Why Do Fraudsters (Carders) Need a BIN List?​

From a cybersecurity education perspective, understanding the role of BIN lists in fraud highlights vulnerabilities in payment systems and underscores the need for robust defenses. In carding operations, a BIN list isn't just a reference — it's a strategic asset that shifts random guessing into targeted exploitation. Here's why it's indispensable for illicit use, broken down step-by-step:

1. Identifying "Live" and Low-Risk Cards: Carders acquire "dumps" (stolen card data) in bulk from breaches or skimmers, but not all are viable. A BIN list allows them to filter for BINs associated with active, high-balance accounts from issuers with lax fraud detection (e.g., regional banks less prone to immediate alerts). For example, a carder might prioritize U.S.-issued Visa BINs like 4147xx for domestic in-store swipes, avoiding international ones that trigger cross-border flags.
2. Bypassing Security Layers: Many BIN lists categorize entries by authentication requirements. "Non-VBV" BINs (those without mandatory 3D Secure prompts) enable quicker, stealthier transactions, as they skip extra verification steps like OTPs or passwords. This is crucial for high-speed carding, where delays can lead to declines or holder notifications. Lists might also flag "high-balance" BINs from premium products (e.g., Platinum cards) that support larger spends before velocity checks (transaction frequency monitoring) kick in.
3. Geographic and Regional Matching: Fraud detection systems use BIN data for "region blocking" — if a card from a New York BIN is swiped in California shortly after legitimate use, it raises red flags. A tailored BIN list helps carders select local or matching-region BINs to mimic normal spending patterns, reducing decline rates from 70–80% in unfiltered dumps to under 30% with a refined list. Underground lists often include country-specific subsets, like U.S.-only or EU-focused, sourced from dark web vendors.
4. Efficiency in Testing and Scaling: Building or buying a BIN list turns trial-and-error into data-driven selection. Carders test small transactions (e.g., $1 vending machine swipes) on mixed dumps, logging successful BINs to expand the list iteratively. Over time, this creates a "working" list for repeat use, but overuse in one area can lead to issuer-wide blocks, necessitating constant updates — much like how legitimate merchants subscribe to refreshed BIN databases.

In essence, without a BIN list, carding is a costly gamble with high waste; with one, it's a calculated risk that maximizes approvals and minimizes exposure. Recent trends (as of 2025) show carders favoring 8-digit BINs for finer granularity, as the industry transitions from 6-digit standards to accommodate more issuers.

Carding Uses vs. Illicit Exploitation​

To balance this educationally, BIN lists originated for fraud prevention, not perpetration:

• Merchant Validation: Online stores use them to verify card legitimacy, flag suspicious BINs (e.g., prepaid cards for high-value buys), and route transactions correctly, preventing errors that cost billions annually.
• Issuer Tools: Banks like Mastercard provide official BIN range tables to ecosystem partners, ensuring accurate routing and reducing "erroneous declines."
• Fraud Detection: AI systems cross-reference BINs with IP geolocation or purchase velocity to score risks in real-time.

Carders flip this infrastructure against it, scraping public lists (e.g., from binlist.net) or buying illicit ones on forums for $10–$100, often bundled with "non-VBV" or "saltando 3D" (3D Secure bypass) variants. This duality illustrates why ongoing updates (e.g., via APIs like those from Handy or BinDB) are vital — fraudsters evolve as fast as defenders.

Broader Implications and Prevention Insights​

Studying BIN lists reveals systemic weak points: Global fraud hit $41 billion in 2024, with card-not-present schemes leveraging BIN intel for 60% of losses. For consumers, enable alerts, use virtual cards, and check statements — tools like the Luhn algorithm (embedded in BIN validation) can even be self-tested for basic checks. Businesses should integrate BIN lookup APIs and monitor for anomalies like clustered tests from the same IP.

This knowledge empowers ethical cybersecurity pros — consider certifications like Certified Ethical Hacker (CEH) to fight fraud legally. If you're exploring this for prevention research, resources like the PCI Security Standards Council offer free BIN guides. Stay vigilant; knowledge is the best defense.