💀 Working BIN Masterclass

Tutorials & Methods
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:credit_card: The Free Trial Bible

Stop Paying For Shit You’ll Use Twice

:world_map: One-Line Flow: Find magic numbers → make fake card → check it breathes → match your location → grab free trial → do it forever.

Why this matters: Netflix wants $15/month for a show you’ll watch once. Spotify wants $11 for three songs. Every service gatekeeps behind “free trial” that needs a real card. This guide breaks that gate. No coding. No hacking skills. Just pattern recognition and patience. The difference between paying and not paying is knowing which 6-8 digits to type first.

:brain: The One Thing You Need To Understand

Every card starts with a 6-8 digit prefix called a BIN. Think of it as the card’s DNA — tells the world which bank, which country, which type.

Right BIN = trials work
Wrong BIN = declined

That’s it. Everything else is just not looking suspicious while using the right BIN.

:world_map: The Journey (Follow This Order)

Step 1: Understand the language
Step 2: Find a BIN
Step 3: Check if it triggers verification
Step 4: Generate cards from that BIN
Step 5: Validate the card format
Step 6: Check if card is alive
Step 7: Disguise yourself
Step 8: The geo-gateway play (NEW — the 2026 meta)
Step 9: Pick your target
Step 10: Execute
Step 11: Troubleshoot if needed
Bonus: Level up with automation
Community Intel: What 1Hackers found in 2026

Every section follows this order. Don’t skip around.

Step 1: Understand The Language

You don’t need to memorize this. Just know it exists so you’re not confused later.

📖 The Complete Dictionary — Every weird word explained

Card & BIN Terms

Term What it actually means
BIN Bank Identification Number. First 6-8 digits of any card. The card’s birth certificate — tells you the bank, country, and card type.
8-Digit BIN Since April 2022, Visa and Mastercard only issue new BINs with 8 digits instead of 6. Older cards still use 6-digit BINs. Both exist side by side. More digits = fewer unknown numbers = easier to work with.
Luhn Algorithm Math formula that checks if card numbers are a real format. Think of it as a spell-checker for numbers. Passes Luhn = correctly shaped. Fails = random garbage.
CVV / CVC / CVV2 3-4 digits on card back (front for Amex). Proves you “have” the card. Banks generate these with a private algorithm — you can’t calculate them from the card number.
Extrap Extrapolation. Fancy word for “pattern with blanks.” You write 5119xxxx1234xxxx and the tool fills the x’s randomly. Like mad libs but with numbers.
Card List Pre-existing pool of cards. Tool picks randomly from your list instead of generating new ones.
Burned / Dead BIN Used too much. Flagged everywhere. Like a phone number everyone has — spam calls only. Move on.
Private BIN Working BIN nobody shared publicly. The moment 500 people have it = it’s dying.
NonVBV Cards that DON’T ask for phone verification. Rare. Valuable. The actual goal.
VBV Verified by Visa. 3DS verification. Pain in the ass — sends OTP to cardholder’s phone.
PAN Primary Account Number. The full 16-digit card number. Banks assign the middle digits randomly using pseudorandom algorithms — you can’t guess the next number from the previous one.
BIN Family Same bank/issuer, multiple suffix ranges. Like siblings — same parents, different birthdays. 451336000644xxxx and 451336000686xxxx are siblings. When one gets burned, the other still breathes. Rotation strategy #1 in 2026.
Regional Gateway Payment processor that handles a specific country’s transactions. Korean gateway, Nigerian gateway, Brazilian gateway — each has its own fraud thresholds, verification rules, and billing currency. Different gateways = different rules = different success rates.
Geo-Billing Arbitrage Routing your transaction through a country whose payment gateway has weaker fraud detection or lower verification standards. Korean checkout bills in KRW. Nigerian gateway doesn’t enforce 3DS. You pick the easiest door — not the closest one.
Frictionless Window A temporary period where a specific BIN + merchant combination processes without triggering any verification. Not permanent. Not guaranteed. Found by testing, not by lists. The 2026 equivalent of the old “non-VBV” — except it expires.

Gateway & Payment Terms

Term What it actually means
2D Gateway (Non-3DS) Old school checkout. Card details in → payment done. No OTP. No bank app. Just vibes. Works with generated cards.
3D Gateway (3DS) Modern pain. Card details in → bank sends OTP or wants app confirmation. Generated cards hit a wall here.
3DS2 3D Secure version 2. Even more annoying. Biometric, push notifications, the works.
Frictionless Flow The 2026 reality. A transaction that goes through WITHOUT triggering a 3DS popup — even on a VBV-enrolled BIN. Depends on the merchant’s risk settings, not just the BIN. This is the new “non-VBV.”
Gate / Payment Gate System processing payment. Some strict (Stripe), some sleepy (old WooCommerce).
Auth (Authorization) $0 or $1 check to see if card is alive. No money moves. Free trials use this.
Charge Actually takes money. Triggers fraud alerts faster.
AVS Address Verification System. Checks if billing address matches what bank has. Only checks NUMBERS — the house number and ZIP code. Ignores street names, city, state entirely. “123 Fake Street” and “123 Real Avenue” both pass if the number 123 and ZIP match. US/UK/Canada love this. Most other countries barely use it.
SK Key Stripe Secret Key (sk_live_...). Merchant’s API key. If you have one, you can check cards directly without burning them. Holy grail stuff.
PK Key Stripe Publishable Key (pk_live_...). Public, less useful.
SCA Exemption Strong Customer Authentication exemption. Merchants with low fraud rates can SKIP 3DS for transactions under €30. This means even VBV BINs can pass without OTP on the right merchant.
KRW Billing Path When OpenAI (or any global service) detects a Korean IP + Korean card, it routes through the Korea billing gateway and prices in Korean Won (₩29,000 for ChatGPT Plus). This gateway has different fraud thresholds than the USD checkout. The price is the same — the verification is different.

Checker Terms

Term What it actually means
Luhn Validator Checks if card number format is valid. Instant. Free. Always do this first.
Mass Checker Bulk checks many cards at once. Burns cards fast.
Gate Checker Uses real merchant auth endpoints. Sneakier, more accurate.
Live / Dead Card works / Card doesn’t work. Simple.
SK Checker Checks cards using Stripe Secret Keys. The real way pros do it.
CCN Credit Card Number. The full 16 digits.

Decline Codes — What Each Number ACTUALLY Means

Code Name What it REALLY tells you
05 Do Not Honor Catch-all. Issuer blocked it — could be fraud flag, velocity, or BIN burned. Try different BIN.
14 Invalid Card Number Card number doesn’t exist. Regenerate and Luhn-validate.
51 Insufficient Funds Card is REAL and ALIVE but has no money. Good news — the BIN works. Generate more from same BIN.
54 Expired Card Card exists but your expiry date is wrong. Fix the month/year.
57 Transaction Not Permitted Card type can’t do this purchase. Probably prepaid. Switch to credit BIN.
65 Activity Limit Exceeded Too many tries today. Wait 24 hours or switch BIN range.
N7 CVV Mismatch Card number is valid, expiry is valid — only CVV is wrong. You’re one variable away.
41/43 Lost/Stolen Card Real owner reported it. Dead forever. Move on.
91 Issuer Unavailable Bank’s system is down temporarily. Retry in 30 minutes.

:light_bulb: Trick: Code 51 and N7 are the best “failures” you can get. 51 confirms the BIN works and the number format is valid. N7 confirms everything INCLUDING the expiry — only CVV is wrong. Each decline code narrows the problem. Don’t treat all declines the same.

Detection Terms

Term What it actually means
Decline Code Number the bank sends back when a card fails. Each code tells you EXACTLY why — not all declines are equal. See table above.
Fraud Score 0-100 rating of how suspicious your IP looks. <20 = good. 21-60 = risky. >60 = instant decline.
Velocity Check System tracking how fast you’re doing stuff. Too fast = flagged. Same BIN + different middle digits rapidly = the #1 fraud signal in 2026.
Fingerprinting Sites collect browser info (screen, fonts, timezone, GPU) to ID you. Same fingerprint = ban.
Stripe Radar Stripe’s AI fraud engine. Scores every transaction 0-99. Uses 1,000+ signals. Score 75+ = auto-blocked before the bank even sees it. Shares data across ALL Stripe merchants.
Signifyd / Forter / Riskified Third-party fraud detection. Track device fingerprint, behavioral biometrics (mouse movement, typing speed), and share data across merchants.
Behavioral Biometrics Mouse movement curves, typing rhythm, scroll patterns. Bots move in straight lines; humans curve. Modern systems check this.
Flagged System noticed you. IP, card, fingerprint, behavior — something’s suspicious.
Rate Limiting Too many attempts = blocked. Built to stop bots and greedy idiots.
Blacklisted You’re on a list. IP, email, fingerprint, or card. Time to rotate everything.

Privacy & Setup Terms

Term What it actually means
Antidetect Browser Fakes your fingerprint. Each profile = different “person.” GoLogin, Dolphin Anty, Multilogin. Think of it as a disguise kit for your browser.
Residential Proxy IP from real home internet. Looks legit because it IS legit. 85-95% trust score.
Mobile Proxy IP from real phone carrier (4G/5G). Cleanest option. 95-99% trust score. Works because carriers share the same IP among hundreds of users simultaneously (CGNAT) — your transaction blends into the crowd.
Datacenter Proxy IP from servers. Websites know. They flag. 30-60% trust score. Don’t use.
CGNAT Carrier-Grade NAT. Why mobile IPs are gold — the carrier assigns the same IP to hundreds of phones at once. Fraud systems can’t uniquely tie it to you. Airplane mode on/off forces a new IP.
OTP One-Time Password. Code sent to phone/email. Expires fast.
Virtual Card Digital-only card. No plastic. Privacy.com, Revolut, Wise. Uses a DIFFERENT BIN range than the same bank’s physical cards.
Token BIN / DPAN When you add a card to Apple Pay or Google Pay, the network creates a new “token” card number with a different BIN. Merchants treat tokenized transactions as lower-risk.
OPSEC Operational Security. Not being a dumbass. Separate profiles, clean IPs, don’t mix personal stuff.
Burner Disposable anything — email, phone, card, identity. Use once, throw away.

Why It’s Getting Harder (Timeline)

Year What happened
2019 Most sites didn’t verify much. Golden era. Easy mode.
2021 Banks started forcing phone verification everywhere. Party’s ending.
2022 Visa switches to 8-digit BINs. All new cards get longer prefixes.
2023 AI fraud detection joined. Signifyd, Forter, Riskified.
2024 Behavioral biometrics go mainstream. Mouse/keyboard patterns tracked.
2025 Banks forced 3DS on 80%+ of premium card ranges. Non-VBV becomes rare.
2026 Everything watches everything. Static BIN lists are dead. The game is now dynamic — finding BIN + merchant combos that go through “frictionless,” not permanent non-VBV BINs. The geo-gateway play is the new meta — route through countries with weaker verification. We adapt.

Step 2: Find a BIN

You need those magic 6-8 digits. Here’s every way to find them.

🔎 BIN Lookup Sites — See what any BIN is

Type a BIN → get bank name, country, card type, level, credit/debit.

Tool Link Notes
bins.su bins.su Community favorite. Best filter stack — bank + country + brand + card type + level + VBV status.
binlist.net binlist.net Clean, fast. Free API (5 req/hour). Primarily 6-digit.
binlist.io binlist.io 343K+ BINs. Free CSV download for offline filtering.
bincodes.com bincodes.com Has generator too.
bincheck.io bincheck.io 356K+ BINs. No signup.
dnschecker dnschecker.org/bin-checker.php Alternative.
greip.io greip.io/tools/BIN-Lookup Modern UI.
chargeflow.io chargeflow.io/bin-lookup Business focused.
fraudlabspro fraudlabspro.com Supports 8-digit BINs. Detailed info.
chargebackgurus chargebackgurus.com/bin-look-up Business grade.
BINTable.com bintable.com Cross-references multiple sources. High data quality.
madleets.online madleets.online/check BIN checker + generator combo. Community-tested for Korean BINs.

:light_bulb: Trick: bins.su has a VBV/3DS field in its advanced search. You can filter by bank + country + brand + “Non-VBV” status right from the lookup — before generating a single card. This is the fastest way to find candidate BINs in 2026.

🔄 Reverse BIN Lookup — Find BINs From Bank Name (Not The Other Way Around)

Most people search forward: enter BIN → get bank info.
You need to go backwards: enter bank name → get every BIN that bank issues.

This is critical when you know the bank and country but don’t have the BIN digits.

Tool How It Works Link
BINcodes.com Search & Finder Select country → brand (Visa) → bank → shows all BINs for that combo bincodes.com/bin-search
VCCGenerator BIN Search Step-by-step wizard: Country → Brand → Bank → BIN vccgenerator.org/bin-search
BINcodes.net Search Same concept, alternative if other sites are rate-limited bincodes.net/bin-search
BINdb.com 500K+ records. Shows co-branded cards too (airline miles, store cards) bindb.com/bin-database

:light_bulb: Trick: Same bank issues DIFFERENT BINs for debit vs credit, Classic vs Gold vs Platinum, domestic vs international, physical vs virtual cards. A “Visa Classic” from Bank X might be BIN 412345. A “Visa Platinum” from the same bank = 498765. Knowing the card type cuts your candidate list in half. Filter by type on bins.su.

💰 Premium / Bulk BIN Databases
Tool Link Notes
bindb.com bindb.com/bin-database 500K+ BINs
Mastercard Official developer.mastercard.com Official source
Cybersource cybersource.com Enterprise
Braintree/PayPal developer.paypal.com PayPal ecosystem
🤖 BIN APIs — For automation
API Free Tier BIN Records Link
binlist.net 5 req/hour (no auth needed) Largest free source binlist.net
NeutrinoAPI Free tier available 2.5M+ records. Full 8-digit support. Weekly updates. Best coverage. neutrinoapi.com/api/bin-lookup
API-Ninjas Free tier Returns bank + country + brand api-ninjas.com/api/bin
APIVerve Free tier Reliable apiverve.com/marketplace/binlookup
FraudLabs Pro Free demo lookups Supports 8-digit BINs fraudlabspro.com
RapidAPI Collection Varies Many providers rapidapi.com/collection/bin

:light_bulb: Trick: NeutrinoAPI is the only free API with full 8-digit BIN coverage (2.5M records). If a 6-digit lookup returns “Unknown” but you’re confident of the bank, try the 8-digit version. The card might be on a newer BIN the old databases don’t have.

📂 GitHub BIN Dumps — Raw data for offline filtering

Download these, open in a spreadsheet, filter by bank name + “VISA” + country code. Your shortlist in 30 seconds.

Repo Format Link
binlist.io full database CSV (343K+ BINs, free download) binlist.io
venelinkochev/bin-list-data JSON GitHub
iannuttall/binlist-data CSV GitHub
binlist/data JSON (~2% of full data) GitHub
ramoona/banks-db JS/JSON (bank name + brand colors by BIN prefix) GitHub
BIN Lookup topics Multiple repos GitHub
Apify BIN Lookup Scraper Apify

:light_bulb: Trick: Any CSV older than 12 months is missing ~5-15% of active BINs (bank mergers, rebrands, 8-digit migration). Use the CSV as your primary search, then cross-validate your top 2-3 candidate BINs against NeutrinoAPI or binlist.net for current data.

📱 Phone Apps — Check BINs anywhere
App Link Platform
BinMatrix Play Store Android
Bin Information Play Store Android
Bin Checker Play Store Android
Bin Checker App Store iOS
BinManager APKPure Android (sideload)
⚠️ 6-Digit vs 8-Digit BINs — Why This Matters Now

Since April 2022, Visa and Mastercard only give out 8-digit BINs to new issuers. Older cards keep their 6-digit BINs. Both coexist — and will for years.

Why you should care:

BIN Length Unknown Middle Digits Luhn-Valid Combos Difficulty
6-digit BIN + last 4 known 6 unknown ~100,000 Hard
8-digit BIN + last 4 known 4 unknown ~1,000 Much easier

How to tell which your target card uses:

Take the expiry year, subtract 3-5 years. That’s roughly when the card was issued.

  • Issued after 2022 (expiry 2025+) → probably 8-digit BIN
  • Issued before 2022 (old expiry, reissued) → probably 6-digit BIN

Which tools support 8-digit lookups:

Tool 8-Digit Support
NeutrinoAPI :white_check_mark: Full (2.5M records)
FraudLabs Pro :white_check_mark: Explicit support
BINdb.com :white_check_mark: PCI directory
bins.su :warning: Partial — growing
binlist.net :warning: Limited — primarily 6-digit
bincheck.io :warning: Partial — try both

:light_bulb: Trick: If you know the bank name + Visa + country + last 4 digits AND it’s an 8-digit BIN era card — you already know 12 of 16 digits. Only 4 unknown middle digits. Luhn eliminates 90% of those. You’re left with ~1,000 mathematically valid combinations. A Python script solves this in under a second.

🏠 Where Fresh BINs Actually Come From

Public BINs die fast. Everyone uses them. Fresh ones come from communities.

Community Access What’s inside
CrdPro.cc Register → Telegram 7K+ members, BIN hunting, SK trades, methods
ASCarding Invite-based 5K members, cash-out methods, OTP bots
Carder.market Register Checker bots, VBV verification, trades
xReactor.org Register Tested configs, OB2 releases, tutorials
CrackingX Register Monthly config drops, tools
Crackia Register OB configs, VPN targets, discussions
Nulled.to Register Mixed content, huge community

Reality: Public forums = dated intel. Private groups = fresh BINs, working methods. Getting in requires reputation or money. Lurk first. Contribute. Don’t beg.

How to get access:

  1. Build rep on public forums first
  2. Contribute — don’t just take
  3. Be patient — trust takes time
  4. Have something to offer (skills, resources, money)
📜 Unconventional BIN Sources — Where Nobody Looks

The usual suspects (forums, Telegram, GitHub) are where everyone hunts. The people who consistently find fresh BINs? They look where others don’t.

Scribd — The Document Goldmine

People upload fresh BIN databases to Scribd thinking it’s a “professional research platform.” It’s not. It’s a free-for-all. Filter by “last month” and you’re golden.

The catch: Scribd wants you to pay or upload your own docs to download.
The fix: Use downloader sites like scribd.vdownloaders.com (with ad blockers unless you enjoy digital herpes).

Why this works: Researchers, payment analysts, and carders all upload BIN datasets as PDFs/spreadsheets. Nobody checks. Fresh datasets appear monthly. Most are more current than GitHub dumps because they come from industry insiders, not scrapers.

Other document platforms worth checking:

  • SlideShare — presentations about payment processing sometimes include BIN ranges
  • Academia.edu — research papers on card fraud include real BIN examples
  • Google Scholar — search “BIN range analysis” or “card identification number database”

:light_bulb: Trick: Set a monthly reminder to check Scribd filtered by “last month.” The people uploading these datasets do it regularly. You’re not searching — you’re subscribing to a free intelligence feed that nobody else in the forums knows about.

🔍 BIN Forensics — Finding a BIN From Partial Card Info

You know the last 4 digits, expiry date, bank name, and card type. But not the BIN. Here’s how to reverse-engineer it.

What each piece tells you:

Info You Have What It Narrows
Bank name Which issuer → which BIN ranges they own
Card brand (Visa/MC) First digit (4 = Visa, 5 = Mastercard, 3 = Amex)
Country Geographic BIN allocation — banks get country-specific ranges
Card type (credit/debit) Different BIN for each — same bank, different prefix
Card level (Classic/Gold/Platinum) Each level has its own BIN range
Expiry date Estimates issuance era: expiry 2027+ = likely 8-digit BIN
Last 4 digits Confirms match once you’ve found candidate BINs

The process:

  1. Go to bincodes.com/bin-search
  2. Select country → brand (Visa) → bank name
  3. Get the list of all BINs that bank issues
  4. Filter by card type (credit vs debit) and level (Classic vs Platinum)
  5. You’ll have 2-10 candidate BINs
  6. Cross-reference each against binlist.net for confirmation
  7. The one that matches your known details = your BIN

:light_bulb: Trick: If the bank is large (Chase, Citi, HSBC), they might issue 50+ BINs. But if you know it’s “Visa Platinum Credit” from that bank, you’re down to 3-5 candidates. Add the country filter and you’re usually at 1-2. The last 4 digits confirm which one is right when you generate test cards.

Step 3: Check If BIN Triggers Verification

Some BINs ask for a phone code (3DS/VBV). Those don’t work with generated cards. You want NonVBV — cards that skip verification. Or better yet in 2026: a BIN + merchant combo where the transaction flows through without a popup.

:warning: The old 3dslookup.com is dead. It was the only tool listed here before. Here’s what replaced it — multiple tools so you’re never stuck with one dead link again.

🔐 3DS/VBV Check Tools — The Make-or-Break Step

This is the difference between “it works” and “it doesn’t.”

Tool Type What It Tells You Link
bins.su Web (advanced search) Has a VBV/3DS field. Filter by bank + country + brand + 3DS status. bins.su
Adyen BinLookup API API Returns threeDSecureSupported true/false per BIN. Most reliable programmatic check. docs.adyen.com/api-explorer/BinLookup
@vbvchecker_bot Telegram bot Checks 3DS status per-BIN. Medium trust — assumes logging. Search Telegram
@carol5_bot Telegram bot !vbv command for VBV status check Search Telegram
GitHub vbv-checker repos Self-hosted Build your own VBV checker. Multiple repos available. github.com/topics/vbv-checker

Results meaning:

  • NonVBV / Non-3DS: Won’t ask for verification. Works with generated cards. :white_check_mark: THE GOAL
  • VBV / 3DS: Will text the real cardholder. Generated cards die here. :cross_mark:
  • Unknown: Test it yourself with the DIY methods below. Might work.

Check BEFORE you generate anything. Saves hours of wasted time.

:light_bulb: Trick: bins.su is the fastest path — it combines BIN lookup WITH VBV status in one search. Filter by country + Visa + bank + “Non-VBV” and you skip the separate 3DS check entirely.

🧪 DIY 3DS Testing — When No Checker Tool Exists

These methods work even if every dedicated checker dies. You’re testing the BIN yourself against real merchant flows.

Method How It Works Accuracy Cost
Netflix trial signup Start new account → enter card at payment stage. No OTP popup = non-VBV. Redirect to bank verification = VBV. Cancel immediately. 80-90% (US cards) $0
Hulu / Spotify trial Same flow, different processor. Different result possible for same BIN. 75-85% $0
$1 charity donation redcross.org or wikipedia.org. Processes without 3DS popup = non-VBV. 70-80% $1
Stripe-powered checkout Any small Stripe merchant. Watch for 3DS redirect vs direct processing. 85-90% $0-5
G2A $5 game key Low-value digital purchase. Instant delivery if approved. ~80% $5
Klarna / AfterPay probe Buy-now-pay-later platforms that haven’t fully upgraded their SecureCode flows. Silent test. ~70% Varies

What the responses tell you:

  • Transaction processes without any popup = Non-VBV on this BIN + this merchant :white_check_mark:
  • Redirect to “Enter code from your bank” = VBV. Cancel immediately. :cross_mark:
  • Soft decline with code “3DS authentication required” = VBV. Next BIN. :cross_mark:
  • Straight decline (code 05 or 14) = Card issue, not 3DS. Different problem.

:light_bulb: Trick: Test at 3AM-6AM GMT. Less bot detection. Less human fraud review. Some merchants reduce 3DS challenges during low-traffic windows because their risk models score off-peak transactions as lower-risk.

🔓 The 2026 Reality: Frictionless Flow > Non-VBV

The old game: find a “non-VBV” BIN and use it everywhere.
The 2026 game: find a BIN + merchant combination where the transaction goes through without a popup.

Why this changed:

  • Banks update 3DS enrollment dynamically. A BIN can be non-VBV on Tuesday and VBV by Friday.
  • Merchants can request SCA exemptions for low-risk transactions — even VBV-enrolled BINs skip OTP on these merchants.
  • The goal is no longer a permanent non-VBV BIN. It’s finding frictionless windows.

SCA Exemptions — When VBV BINs Skip OTP:

Exemption Type When 3DS Gets Skipped Threshold
Low-value Transaction below threshold Under €30 / ~$30
Transaction Risk Analysis (TRA) Merchant’s fraud rate is very low Up to €500 depending on merchant
Recurring / subscription After the first authenticated payment All subsequent charges
Trusted beneficiary Customer whitelisted the merchant with their bank Permanent for that merchant
Corporate cards B2B transactions Often exempt from SCA

What this means for you: A VBV BIN + a merchant with TRA exemption + a transaction under €30 = frictionless flow. No OTP. No popup. The BIN’s enrollment doesn’t matter — the merchant’s configuration overrides it.

:light_bulb: Trick: Donation sites, small digital goods stores, and subscription services with low fraud rates are the most likely to have TRA exemptions. Low-value digital purchases (under €30/$30) on these merchants = highest chance of frictionless flow regardless of BIN’s 3DS status. This is why experienced practitioners stopped chasing “non-VBV BINs” and started mapping which merchants skip 3DS for small amounts.

🌍 3DS Coverage by Region — Where Non-VBV Still Exists

Not all countries enforce 3DS equally. The geographic angle is the single biggest variable most guides ignore.

Region Non-VBV Survival Rate (March 2026) Notes
EU Nearly 0% PSD2/SCA killed it. 3DS mandatory for all online transactions >€30.
USA ~4-8% on tested cards Legacy Chase, Citi, Wells Fargo old debit ranges still breathing. Narrowing fast.
Canada ~10-15% TD Canada, some credit union ranges. Slower enforcement.
UK ~5-10% Barclays off-peak windows, some legacy ranges.
LATAM (Brazil, Mexico) 10-20% Bradesco, Banco do Brasil old ranges. Regulations lagging.
Asia (India, Philippines) 5-15% Some SBI, BDO legacy ranges. RBI pushing biometric migration.
Africa (Nigeria, Egypt) 15-25% GTBank, Zenith prepaid ranges. Weakest enforcement.
Middle East / UAE ~10% Business MasterCard types hitting harder this year.
South Korea Special case Not about non-VBV — the Korean billing gateway itself processes differently. See Step 8 (Geo-Gateway Play).

:light_bulb: Trick: Cards from small banks in developing countries often have: no 3DS enrollment, no real-time fraud scoring, slower velocity detection (hours instead of seconds), and less sophisticated behavioral analysis. The geographic angle + card type (prepaid from a small regional bank) = the highest probability of non-VBV in 2026.

Step 4: Generate Cards From Your BIN

Turn those 6-8 digits into full card numbers.

🎲 Card Generators — All the best ones
Generator BIN Mode Pattern Mode Link
GoNamsoGen :white_check_mark: :white_check_mark: gonamsogen.com
Namso.io :white_check_mark: :white_check_mark: namso.io
MrChecker Namso v5 :white_check_mark: :white_check_mark: mrchecker.live/namso-gen
Namso.net :white_check_mark: :white_check_mark: namso.net
Namso-Gen.co :white_check_mark: :white_check_mark: namso-gen.co
TheNamsoGen :white_check_mark: :white_check_mark: thenamsogen.com
ReNamso (UNCODER) :white_check_mark: :white_check_mark: uncoder.eu.org/cc-gen
Multi-CC-Gen :white_check_mark: :white_check_mark: multi-cc-gen.web.app
wizvenex :white_check_mark: :white_check_mark: wizvenex.com
BinCodes Gen :white_check_mark: :cross_mark: bincodes.com/bin-creditcard-generator
BINGenerator.net :white_check_mark: :cross_mark: bingenerator.net
CC_Gen (GitHub) :white_check_mark: :white_check_mark: github.com/avipatilpro/CC_Gen
Namso CCGen v5 (GitHub) :white_check_mark: :white_check_mark: github.com/JSeoLabs/Namso-CCgen-v5
CC-GEN (GitHub) :white_check_mark: :cross_mark: github.com/OshekharO/CC-GEN
AnukarOP Gen (GitHub) :white_check_mark: :white_check_mark: github.com/AnukarOP/namso-gen
elfqrin :white_check_mark: :cross_mark: elfqrin.com
BinManager :white_check_mark: :white_check_mark: APKPure (Android)

Settings to use:

  • Expiry: 2-3 years in future
  • CVV: 3 digits (4 for Amex)
  • Quantity: Start with 10

:light_bulb: Trick: MrChecker Namso v5 has a “Reverse-Luhn Solver” — instead of checking if a number is valid, it calculates the exact check digit needed to MAKE a partial number valid. Everything runs client-side in your browser. No data sent anywhere.

💻 Offline Desktop Generators — No Server Trust Required

Every online generator sends your BIN to someone else’s server. You’re trusting a stranger with your working BIN. Offline tools fix this.

Tool Platform Features Source
Test Card Generator 2030 Windows/Mac/Linux (GUI) Luhn-valid cards + tokens + 3DS test codes + biometrics + DIDs. Runs 100% offline. Supports Visa, MC, Amex, Discover, JCB, UnionPay. Community-shared (check 1Hack topic)
CC_Gen (Python) Any (CLI) BIN mode + extrap. Run locally: python cc_gen.py --bin 451336 --count 50 github.com/avipatilpro/CC_Gen
Luhn libraries Any language Build your own: pip install luhn (Python) or npm install luhn (Node) pypi.org/project/luhn

Why offline matters:

  • Online generators log your BINs (assume this always)
  • Your working BIN hits their database before you even test it
  • Self-hosted = nobody sees your BIN but you
  • Also generates tokenized card numbers (DPAN format for Apple Pay / Google Pay testing)

:light_bulb: Trick: The Test Card Generator 2030 tool also generates 3DS test codes and biometric data — useful for testing checkout flows that require these fields. Most online generators only produce card number + expiry + CVV. Desktop tools give you the full card data stack.

👑 DotBypasser — The King (All-In-One Tool)

Before individual tools, meet the gold standard. Everything else is measured against this.

What it does: Browser extension that generates AND bypasses in real-time. Paste BIN once, visit any supported checkout, enter random junk, extension handles everything. One input, infinite attempts.

Quick Facts

Info Details
Works on Chrome + Firefox
Source git.dotbypasser.net/DotBypasser
Telegram @onebypasser
Download ext.dotbypasser.com
Install help install.dotbypasser.com

Features

Feature Notes
BIN Generation Enter first 6-8 digits, generates rest
Extrap Mode Pattern with x placeholders (e.g., 5119xxxx1234xxxx)
Card List Import .txt, random selection from pool
Custom Gateway API Add your own gateways with minimal code
Modern UI Clean, simple, doesn’t look like ransomware
No Certificate Required No proxy/cert setup needed
Multiple Gateways Growing list on Telegram
Mobile Support Works on Kiwi Browser

Installation

Chrome (PC):

1. Download dot-bypasser-X.X.X-chrome.zip
2. Extract to a folder
3. Go to chrome://extensions
4. Enable "Developer Mode" (top right)
5. Click "Load unpacked"
6. Select the extracted folder

Chrome (Mobile - Kiwi Browser):

1. Install Kiwi Browser from Play Store
2. Download dot-bypasser-X.X.X-chrome.zip
3. Go to chrome://extensions
4. Click "Load (.crx, .zip, .user.js)"
5. Select the ZIP file

Firefox (Developer/Nightly/ESR only):

1. Go to about:config
2. Set xpinstall.signatures.required to false
3. Download dot-bypasser-X.X.X-firefox.zip
4. Go to about:addons
5. Click settings → "Install add-on From File"
6. Select the ZIP

How To Use

1. Click extension icon to open DotBypasser page
2. Enter your BIN (or use Extrap or Card List)
3. Visit any site with supported gateway
4. Fill basic details on payment page
5. Put random card number, expiry, CVV
6. Click PAY — bypasser does its magic
7. Check DotBypasser page for logs

Pro tip: Try at least 10 times if first attempt fails

Three Generation Modes

Mode 1: BIN Generation

Input:   511954
Output:  5119 5437 8291 1247 (random after BIN)
Control: LOW — only first 6 digits fixed

Mode 2: Extrap (Extrapolation)

Input:   5119 54xx xxxx 12xx
Output:  5119 5437 8291 1247
              ^^   ^^^^   ^^
             random positions only

Control: HIGH — you decide which digits stay fixed
Rules:
  • x or X = Random digit (0-9)
  • Other digits = Stay fixed
  • Last digit = Auto-calculated via Luhn

Mode 3: Card List

Input:   Pre-existing card list (.txt or paste)
Output:  Random pick from your pool
Control: COMPLETE — use only your known cards

Format:  card_number|exp_month|exp_year|cvv
Example: 4532015112830366|12|2027|123
⚡ Stripe Auto Hitter — The Lazy Way (NEW 2026)

DotBypasser needs you to click. Stripe Auto Hitter does everything for you. Drop a BIN, open a Stripe checkout page, walk away.

Info Details
What it does Detects Stripe checkout → auto-fills generated card → solves hCaptcha → keeps hitting until one goes through
GitHub Neo-Master012/Stripe-Auto-Hitter
Official site hitter.bypixel.site
Works on Chrome, Edge, Brave (any Chromium browser)
Version v0.1.2 (March 2026)

Install (same as any unpacked extension):

  1. Download ZIP from GitHub or official site
  2. Extract the folder
  3. chrome://extensions → Developer Mode ON → Load unpacked → select folder

How to use:

  1. Open extension → enter your BIN
  2. Navigate to any page with Stripe checkout
  3. Extension detects the payment form automatically
  4. It auto-fills card details, solves captcha, submits
  5. If declined → generates new card from same BIN → tries again
  6. Keeps going until success or you stop it

DotBypasser vs Stripe Auto Hitter:

Feature DotBypasser Stripe Auto Hitter
Gateways Multiple (Stripe, Braintree, etc.) Stripe only
Automation Semi-auto (you click PAY) Full-auto (hands-off)
Captcha Manual Auto-solves hCaptcha
Best for Multi-gateway testing Brute-forcing one Stripe checkout

:light_bulb: Trick: Use Stripe Auto Hitter for high-attempt targets (ChatGPT, Grok — where you might need 10-30 tries) and DotBypasser for multi-gateway exploration. They solve different problems. Install both.

🔧 More Browser Extensions

Heavy Hitters:

Tool Gateways Key Powers Link
DotBypasser Multiple BIN, Extrap, Card List, Custom Gateway git.dotbypasser.net
SSS-Autofill Shopify, Supreme, Stripe Auto-fill + Auto-submit, Multiple profiles github.com/alexsnkr/sss-autofill
React-Autofill Shopify, Supreme, Stripe Auto-fill + Auto-click checkout, Open source github.com/arevi/react-autofill
Autofill Extension Shopify, Supreme, Stripe Request-based checkout, Site presets github.com/ericz99/autofill-extension
Lightning Autofill Any payment form Unlimited profiles, Macros, Cloud sync, Regex Chrome Web Store

Gateway-Specific:

Tool Gateways Link
Test Credit Cards Stripe, Braintree Chrome Web Store
ChargeDesk Stripe, PayPal, Braintree Chrome Web Store
Marvin Stripe Filler Stripe, Braintree Chrome Web Store
Stripe Elements Filler Stripe github.com/blessanm86/stripe-elements-filler
AutoFill Forms Any form Chrome Web Store

Step 5: Validate The Card Format

Before wasting time on live checks, make sure the numbers aren’t garbage.

🔢 Luhn Validators — Is this even a real card format?

Free. Instant. Takes 2 seconds. Catches garbage before you waste time.

Tool Link Special Feature
dcode.fr dcode.fr/luhn-algorithm Can solve a single missing digit from any position. If you know 15 of 16 digits, it finds the missing one instantly.
ValidCreditCardNumber validcreditcardnumber.com Simple pass/fail
FreeFormatter freeformatter.com Generator + validator combo
CreditCardValidator creditcardvalidator.org Identifies card brand from number
SimplyCalc simplycalc.com/luhn-calculate.php Clean calculator UI
PlanetCalc planetcalc.com/2464 Shows step-by-step Luhn math
OmniCalculator omnicalculator.com/math/luhn Explains the algorithm while checking
PaymentCardTools paymentcardtools.com/luhn-algorithm Batch validation
Luhn Algorithm (GitHub) github.com/topics/luhn-algorithm Scripts in every language

Flow: Generate card → Luhn check → If invalid, regenerate → If valid, proceed to live check

  • Passes Luhn = correctly shaped number, proceed
  • Fails Luhn = garbage, regenerate

:light_bulb: Trick: The last digit of every card number (digit 16) is NOT random — it’s the Luhn check digit, mathematically calculated from digits 1-15. If you know the first 15 digits, the 16th is always deterministic. dcode.fr does this calculation for you.

🧮 Advanced: Luhn Brute Force (When You Know BIN + Last 4)

If you know the BIN (6-8 digits) AND the last 4 digits, Luhn math eliminates 90% of possible middle combinations.

The math:

  • 6 unknown middle digits = 1,000,000 raw possibilities → Luhn reduces to ~100,000
  • 4 unknown middle digits (8-digit BIN) = 10,000 raw → Luhn reduces to ~1,000

Tools that brute-force the middle:

Tool Language What It Does Link
Securology Brute Force C# Enter 1234-56XX-XXXX-1234 → outputs every valid middle combo securology.blogspot.com
EKOPARTY CTF Script Python Same concept — Luhn-validated brute force for missing digits ctftime.org/writeup/4602
luhn (PyPI) Python library Validate + generate check digits. Scriptable for batch. pypi.org/project/luhn
jancajthaml/luhn Python Clean API: validate, compute digit, generate github.com/jancajthaml-python/luhn
mmcloughlin/luhn Go Same functionality, Go performance for large batches github.com/mmcloughlin/luhn

:light_bulb: Trick: With an 8-digit BIN + last 4 known, only ~1,000 Luhn-valid combos exist. The real protection isn’t the number space — it’s CVV (1,000 more possibilities) and AVS (address match). If you have the address too, CVV is the only remaining unknown. That’s 1,000 card number candidates × 1,000 CVV possibilities = 1,000,000 total. Sounds large but each attempt gives you a decline code that tells you exactly what’s wrong.

📁 Card Format Reference
Format Example
Pipe (standard) `4532015112830366
Comma 4532015112830366,12,2027,123
Colon 4532015112830366:12:2027:123
Full date `4532015112830366
With cardholder `4532015112830366
Space 4532015112830366 12 2027 123

Step 6: Check If Card Is Alive

Most important step. Dead card = wasted time.

🌐 Public Online Checkers — Quick but risky
Checker Link Warning
mrchecker.net mrchecker.net Popular, burns fast
ccchecker.cc ccchecker.cc Assume logging
checker.visatk.com checker.visatk.com One at a time
cardchecker.org cardchecker.org Basic
binchecker.net binchecker.net BIN + card check
checkcc.me checkcc.me Another option
ccgen.cc ccgen.cc Gen + check combo

The catch: These log everything. Everyone uses them. Cards burn FAST. Use for testing trash only. Never check good BINs here.

🤖 Telegram Bots — Quick checks

Bots with source available:

Bot Language Gateways Source
CC Checker Bot (502​:star:) PHP Multiple GitHub Topics
Multi-Gateway Bot PHP Stripe, Braintree, PayPal GitHub Topics
RevGen Bot Python Multiple github.com/ExWhyZed9/revgen
CC-CHECKER-BOTV1 PHP Stripe GitHub Topics
Switchblade CC Checker PHP Stripe GitHub Topics

Quick access bots (search on Telegram):

Bot Purpose Trust
@ccaborterbot General checking Medium
@luxchecker_bot Decent accuracy Medium
@ccn1_bot Basic checks Low
@chikicheck_bot Free daily limit Medium
@achaborterbot Another option Low
@vbvchecker_bot Checks 3DS status Medium
@namlolobot Gen + check Medium
@carol5_bot !ch and !vbv commands Medium

Same warning that cannot be stressed enough: Every bot logs every card. Never check valuable or private BINs on public bots. Test garbage only.

🌐 Web-Based Checker Tools — Host yourself
Tool Language Gateways Link
MASS-CC-CHECKER PHP Luhn + API github.com/OshekharO/MASS-CC-CHECKER
KE1-CC-CHECKER HTML/JS Luhn github.com/OshekharO/KE1-CC-CHECKER
CC Checker V4.5 PHP Stripe, Braintree, VBV ecosyste.ms
DarkXCode Checker JS/PHP Stripe Charger GitHub Topics
CC Checker Gateway PHP Stripe, Braintree github.com/DD0NS
Gento Checker PHP Stripe, Braintree GitHub Topics

:light_bulb: Trick: Self-hosted checkers are the real play. Nobody else sees your cards. Nobody else burns your BINs. The GitHub repos above give you the code — host on a cheap VPS, point at a Stripe/Braintree auth endpoint, and you have your own private checker. The guide used to say “build your own” with zero instructions. These repos ARE the instructions.

💻 Terminal Tools — For command line people

Python:

Tool Gateways Why It’s Elite Link
Stripe-Checker-Python Stripe Rate limit bypass, File input github.com/Junaid433/Stripe-Checker-Python
CC CHECKER CLI V5.5 Multiple Bulk check, Efficient list management GitHub Topics
BraintreeCHK Braintree VBV lookup, Multi-thread GitHub Topics
cc-checker-2 API-based Proxyless, No SK required github.com/im-hanzou/cc-checker-2
CC_Checker-Python Stripe VPN-based, success.txt output github.com/srevarun/CC_Checker-Python

PHP:

Tool Gateways Why It Hits Different Link
CC-EXTRAP Multiple Pattern input (Extrap), Auto-check, Export github.com/hndko/CCEXTRAP
cc-extrap-generator Multiple Full extrap support, validcc.txt export github.com/GitPlaya/cc-extrap-credit-card-generator
Braintree-CC Stripe, Braintree Real donation system integration github.com/DD0NS/braintree-cc
Unc3ns0r3d-Checker Stripe SOCKS5 proxy, Random name/email gen github.com/joaqhoc/Unc3ns0r3d-Checker
🔑 SK Key Method — The pro way

Stripe secret keys (sk_live_...) let you check cards directly without burning them on public checkers. This is how the pros do it.

Validation command:

curl https://api.stripe.com/v1/charges -u sk_live_KEYHERE:

Or create a token first:

curl https://api.stripe.com/v1/tokens \
  -u sk_live_KEYHERE: \
  -d "card[number]=4242424242424242" \
  -d "card[exp_month]=12" \
  -d "card[exp_year]=2025" \
  -d "card[cvc]=123"

Where to find SK keys:

Resource Link Purpose
KeyHacks github.com/streaak/keyhacks Curl commands to validate ANY API key
SK Checker Tools github.com/topics/sk-checker All SK validators
Master Dork List gist.github.com/win3zz Dorks for ALL API keys
TruffleHog github.com/trufflesecurity/trufflehog Scans repos for secrets
GitLeaks github.com/gitleaks/gitleaks SAST tool for secrets

GitHub dork: sk_live_[0-9a-zA-Z]{24} in .env files

How SK keys get exposed: Developers push .env files to public repos, deploy staging servers with exposed config endpoints, or leak through misconfigured CI/CD pipelines. Also found in: public Postman collections, GitLab/Bitbucket repos, Stack Overflow code snippets.

Reality: Fresh SK keys = minutes lifespan. Keys get revoked within minutes of discovery. This is a hunting game, not a finding game.

🔒 Private Checkers — The actual way

Why private: Public tools = everyone uses them = cards die fast. Private = only you (or small group) use it = cards live longer.

How people get private checkers:

Method Difficulty Cost
Build your own (GitHub repos above) Medium Free (best long-term investment)
Buy from developer Medium $50-500+
Join private group Medium Membership fee
Crack/leak Easy Free but outdated/backdoored

If buying a private checker:

  • Demand proof (live demo, recent screenshots)
  • Check seller reputation in community
  • Use escrow
  • Expect $50-500+
  • Ask about updates/support

Red flags — SCAM ALERT:

  • Too cheap = scam or backdoored
  • No proof = scam
  • “Buy now!” pressure = scam
  • “Lifetime” access = it’ll die in a week
  • No escrow = risky
  • Brand new seller = risky
🔧 Gate Types — Know what you're hitting
Gate Difficulty Notes
Stripe Hard AI fraud detection (Radar), learns fast, most common. Scores 0-99 — blocks at 75+ BEFORE the bank even sees it.
Braintree Medium-Hard PayPal owned, decent security
Adyen Hard Enterprise level, big merchants
Authorize.net Medium Old school, varies by merchant config
Square Medium Depends on settings
Shopify Payments Hard Stripe backend = Stripe Radar active
WooCommerce Easy-Medium Depends heavily on plugin
Probiller Easy-Medium Adult content processor. Different fraud thresholds than mainstream gateways. Lower verification standards.
Donation sites Easy Low security, just want money. Often have SCA exemptions.
Free trial pages Easy Built for low friction

:light_bulb: Trick: Stripe Radar shares fraud data across ALL Stripe merchants. A card declined at one Stripe shop raises the risk score at every other Stripe shop. Braintree and Adyen have similar network-wide sharing. Donation sites and WooCommerce stores usually run standalone — no shared fraud network. That’s why they’re easier.

⏰ Critical Timing Rule

Card confirmed alive = use it NOW.

Not in an hour. Not tomorrow. NOW.

Everyone else is checking the same BINs. Clock starts ticking the moment it hits any checker. The longer you wait, the more likely it’s dead.

📊 Checker Type Comparison
Type Speed Accuracy Risk Cost
Luhn Validator Instant Format only None Free
Mass Checker Fast Low-Medium Burns cards fast Free
Gate Checker Medium High Sneakier but riskier Free-Paid
SK-Based Checker Fast Highest Need merchant keys Free (if you find keys)
API Checker Fast High Needs setup Varies
Telegram Bot Fast Varies Who’s logging? Free
Self-Hosted (GitHub) Varies Highest Only you see the cards Free (your own VPS)
Private Checker Varies Highest Best option $50-500+

Reality: Free + Public = Logged + Burned. Self-hosted or private = the actual way.

Step 7: Disguise Yourself

Your card is good. Now make sure your connection doesn’t snitch on you.

7a. Check Your IP First

🌐 Fraud Score Checkers — Are you already flagged?
Tool Link What You Want
Scamalytics scamalytics.com/ip Score under 20
IPQualityScore ipqualityscore.com No proxy detection
IP-Score ip-score.com Multi-system check
proxycheck.io proxycheck.io Proxy/VPN detection
IPHub iphub.info Block type check
GetIPIntel getipintel.net Probability score

What scores mean:

Score Translation
0-20 Invisible. You’re fine. Financial sites accept.
21-40 Some sites squint at you. Proceed carefully.
41-60 Many sites decline. Consider switching IP.
61-80 Most sites decline. Switch IP.
81-100 Cooked. Don’t even try. IP is burned.

Flagged IP? Don’t even try. Get a clean one first.

:light_bulb: Trick: Mobile carrier IPs should score 0-5. If your “mobile proxy” scores 20+, the provider is routing through a datacenter relay, not a real carrier. Check at Scamalytics before every session — your IP might have been clean yesterday and burned today.

7b. Get a Clean IP

🔄 Proxies — Your fake location

Trust hierarchy:

Mobile (4G/5G) → Residential → ISP → Datacenter
     99%            90%        75%      40%

Rule #1: Proxy country MUST match BIN country. US BIN + Bulgarian IP = instant decline.

Why Mobile Proxies Are Gold (The Technical Reason):

Mobile carriers use CGNAT — Carrier-Grade NAT. Think of it like a shared phone number for hundreds of people. The carrier assigns the same IP address to hundreds of phones simultaneously. When a fraud detection system sees your transaction, it also sees hundreds of legitimate purchases from the same IP that day. Your transaction blends into the crowd. That’s why mobile IPs score 0-5 on fraud checkers — they CAN’T be flagged without blocking legitimate customers too.

Airplane mode on → airplane mode off = new IP from the carrier’s pool. Instant identity reset.

Tier 1: Mobile Proxies (95-99% trust) — THE GOLD STANDARD

Provider Type Price Notes
AirProxy Dedicated 4G €67/mo 0% fraud score, Italy focused
NodeMaven 4G/5G Rotating $80/mo True carrier IPs, global
Proxidize DIY Hardware $349-799 Build your own farm, full control
The Social Proxy 4G/5G Premium 400 Mbps, auto-rotation
IPRoyal Mobile 4G/5G $8.49/day Unlimited bandwidth

Tier 2: Residential Proxies (85-95% trust) — VERY GOOD

Provider Type Price Link
Bright Data Residential $8/GB+ brightdata.com
Oxylabs Residential $9/GB oxylabs.io
Smartproxy Residential $7/GB smartproxy.com
IPRoyal Residential $5/GB iproyal.com
Decodo 10M+ IPs $4/GB decodo.com
SOAX Residential $99/8GB soax.com
Webshare Residential Budget webshare.io
PacketStream Residential $1/GB packetstream.io
GeoSurf Residential Premium geosurf.com

Tier 3: Datacenter Proxies (30-60% trust) — NO.

Websites know datacenter IPs. They always know. Don’t save money here.

🔐 VPN Base Layer

VPN alone doesn’t work. It’s just the foundation.

Stack: VPN → Residential/Mobile Proxy → Antidetect Browser

VPN Link Notes
Mullvad mullvad.net No account needed, cash accepted
IVPN ivpn.net No logs, transparent
ProtonVPN protonvpn.com Free tier available
Windscribe windscribe.com Generous free tier

7c. Hide Your Browser Fingerprint

🕵️ Antidetect Browsers — Stop your browser from snitching

Your browser tells websites everything — screen size, fonts, timezone, graphics card, mouse movement patterns, typing speed. Same fingerprint twice = “hey, you again.”

Modern fraud systems (Signifyd, Forter, Riskified, Stripe Radar) don’t just check your IP — they check behavioral biometrics too. How your mouse curves when moving to a button. How fast you type. How you scroll. Bots move in straight lines and type at uniform speed. Humans curve and vary. An antidetect browser fakes the technical fingerprint. Acting human fakes the behavioral fingerprint.

Tier 1: 90%+ bypass rate (professional)

Browser Price Free Option Link
Multilogin $99-399/mo 3 profiles multilogin.com
Octo Browser €7-65/mo None octobrowser.net
Kameleo Premium None kameleo.io

Tier 2: 80-90% bypass rate (solid)

Browser Price Free Option Link
GoLogin $24-149/mo 3 profiles gologin.com
AdsPower $9-50/mo 2 profiles adspower.com
Dolphin Anty $89+/mo 10 profiles dolphin-anty.com
Incogniton $30+/mo 10 profiles incogniton.com

Tier 3: 75-85% bypass rate (budget)

Browser Price Link
VMLogin $99+/mo vmlogin.us
Sessionbox $9+/mo sessionbox.io
Undetectable Varies undetectable.io
Ghost Browser $21+/mo ghostbrowser.com

Best free: Dolphin Anty or Incogniton — both offer 10 profiles, no time limit, actually usable.

:light_bulb: Trick: Stripe Radar evaluates 1,000+ signals per transaction. A brand-new device fingerprint with no history is actually LOWER risk than a fingerprint that has been seen failing across multiple merchants. Fresh antidetect profile = blank slate = Radar has nothing negative to score against. That’s why “fresh profile every attempt” isn’t just paranoia — it’s exploiting how the scoring model works. Your first transaction from a clean setup is ALWAYS the easiest.

🧩 DIY Alternative — Free but janky

If you can’t afford antidetect, stack these Firefox extensions:

Extension What it blocks
Canvas Blocker Canvas fingerprinting
Chameleon Spoofs browser properties
User-Agent Switcher Rotates UA strings
WebRTC Leak Shield Stops IP leaks
WebRTC Control Disables WebRTC entirely
ModHeader Edit request headers
Proxy SwitchyOmega Manage multiple proxies
EditThisCookie Cookie control
Cookie-Editor Same thing, different UI
Trace Extra fingerprint protection
Privacy Badger Block trackers
uBlock Origin Block ads/trackers

Not as good as real antidetect. But free and better than nothing.

7d. Test Everything

🧪 Leak Tests — Run before every attempt

Fingerprint tests:

Tool Link
BrowserLeaks browserleaks.com
CreepJS abrahamjuliot.github.io/creepjs
Cover Your Tracks coveryourtracks.eff.org
AmIUnique amiunique.org
FingerprintJS fingerprint.com/demo
PixelScan pixelscan.net
DeviceInfo deviceinfo.me

IP leak tests:

Tool Link
ipleak.net ipleak.net
whoer.net whoer.net
browserleaks.com/webrtc browserleaks.com/webrtc
dnsleaktest.com dnsleaktest.com
ipx.ac ipx.ac

Checklist before proceeding:

  • No WebRTC leak (real IP hidden)
  • Timezone matches proxy location
  • Language matches proxy country
  • Fingerprint looks “normal” not unique
  • Fraud score under 20
  • No DNS leaks

7e. Create Fake Identity

📧 Temp Email
Service Link Notes
mail.tm mail.tm Best for most services
guerrillamail guerrillamail.com Reliable classic
temp-mail.org temp-mail.org Popular
10minutemail 10minutemail.com Quick jobs
tempail.com tempail.com Alternative
emailondeck emailondeck.com Disposable
mohmal mohmal.com Arabic support
maildrop maildrop.cc Simple
fakemailgenerator fakemailgenerator.com Multiple domains
throwawaymail throwawaymail.com Basic
yopmail yopmail.com Public inboxes
mailinator mailinator.com Public inboxes

Pro tip: mail.tm and guerrillamail work best. Some services block common temp domains — try multiple.

:light_bulb: Trick: Stripe Radar checks email reputation. A fresh email from a known temp domain (mailinator, yopmail) immediately raises the risk score. mail.tm and guerrillamail are less flagged. Even better: create a free Gmail/Outlook with a real-looking name that matches your identity. 30 seconds of effort, dramatically lower risk score.

📱 Temp SMS
Service Link Cost Notes
smspool smspool.net Paid Most reliable
5sim 5sim.net Paid Good backup
sms-activate sms-activate.org Paid Huge selection
onlinesim onlinesim.io Paid Reliable
smsman smsman.com Paid Decent
textverified textverified.com Paid US numbers
getsmscode getsmscode.com Paid Chinese numbers
receivesms receivesms.co Free Hit or miss
quackr quackr.io Free Hit or miss
receive-smss receive-smss.com Free Public numbers

Free public numbers = everyone uses them = often blocked. Paid services ($0.10-0.50 per number) much more reliable.

🧬 Fake Identity Generator
Tool Link
fakena.me fakena.me
fakenamegenerator fakenamegenerator.com
fakexy fakexy.com
generatedata generatedata.com
randomprofile randomprofile.com
fakepersongenerator fakepersongenerator.com
datafakegenerator datafakegenerator.com

CRITICAL: Identity country = BIN country = proxy country. US BIN means US name, US address, US phone format. Everything matches or instant flag.

:light_bulb: Trick: AVS only checks the NUMBERS in your address — house number + ZIP code. It ignores street name, city, state, apartment label text. “123 Fake Street, Apt 4B, Anytown, CA 90210” and “123 Real Avenue, Suite 4B, Elsewhere, CA 90210” both return a full AVS match because 123 and 90210 match. Use a real US ZIP code from the BIN’s state. The street name doesn’t matter.

🌏 Region-Specific Address Generators — For Geo-Gateway Methods

When you’re routing through a specific country’s gateway (Korean, Nigerian, Brazilian), you need addresses from THAT country. Generic fakena.me won’t cut it.

Region Generator Link Notes
South Korea fakexy.com Korean fakexy.com/fake-address-generator-kr Full Korean addresses with proper postal codes
South Korea getfakedata Korean getfakedata.com/address/ko_KR Alternative with different format
South Korea myfakeinfo Korean myfakeinfo.com Full fake Korean identity
Nigeria fakexy.com Nigerian fakexy.com/fake-address-generator-ng Nigerian addresses + phone formats
Brazil fakexy.com Brazilian fakexy.com/fake-address-generator-br Brazilian CPF + address
India fakexy.com Indian fakexy.com/fake-address-generator-in Indian addresses with PIN codes
Bolivia fakexy.com Bolivian fakexy.com/fake-address-generator-bo For Bolivia-routed methods
Any country fakexy.com fakexy.com 40+ countries, change the URL suffix

:light_bulb: Trick: For the Korean gateway (the 2026 meta — see Step 8), these addresses have been community-tested and confirmed working: ZIP 38001 (Gyeongju-si) and ZIP 06164 (Seoul). Generate from the tools above, but keep the ZIP locked to one of these two. The ZIP matters more than the street.

💳 Virtual Cards — When you need real ones
Service Link Notes
Privacy.com privacy.com US only, burner cards, spending limits
Revolut revolut.com EU/UK, virtual + disposable. Different BIN than physical card.
Wise wise.com Multi-currency, global. Virtual = separate BIN range.
PayPal Key Check your region Virtual Mastercard
Capital One Eno capitalone.com US only, Chrome extension
MySudo mysudo.com Privacy focused
Blur by Abine abine.com Masked cards

Real cards you control. Useful for services that check if cards are virtual.

:light_bulb: Trick: Virtual cards from neobanks (Revolut, N26, Wise) use completely different BIN ranges than their physical cards. If you’re looking up a BIN and the transaction was from Apple Pay or Google Pay, the BIN you see is a token BIN (DPAN) — different from the physical card’s actual BIN. This matters when trying to identify or match BINs from transaction records.

Step 8: The Geo-Gateway Play

This section didn’t exist 4 months ago. The 1Hack community cracked it in early 2026 and it’s now the single most active method on the forum.

The old approach: find a non-VBV BIN → use it on a US checkout → hope it goes through.
The 2026 approach: route your transaction through a country whose payment gateway has weaker verification → it goes through because the gateway itself doesn’t check as hard.

Same BIN. Different door. Different result.

🌏 Why Geography Changes Everything

When you visit chatgpt.com from a US IP, OpenAI routes you through their US billing gateway — Stripe, full Radar, 3DS challenges, the works.

When you visit from a South Korean IP, OpenAI routes you through their Asia-East billing gateway — prices in KRW (₩29,000), different processor, different fraud thresholds, different verification logic.

Same product. Same price (converted). Completely different checkout security.

This isn’t an exploit. It’s how global billing works. Every major service (OpenAI, Spotify, Netflix, Apple) runs separate billing gateways per region. Each gateway has its own:

  • Fraud detection sensitivity
  • 3DS enforcement rules
  • AVS checking strictness
  • Velocity limits
  • Card type restrictions

Some gateways are Fort Knox. Some are a screen door. You pick the screen door.

The community mapped which doors are open in 2026:

Region Gateway Strength Best For Why It Works
South Korea Weak card verification AI tools (ChatGPT, Grok), streaming Korean gateway validates BIN format but doesn’t deep-check card existence. Bills in KRW.
Nigeria Minimal 3DS enforcement Privacy tools (Proton), VPNs African gateways haven’t fully adopted SCA. Prepaid BINs from small banks fly under radar.
Bolivia Lazy validation Design tools (Canva Pro) South American gateways lag 2-3 years behind EU/US in fraud detection adoption.
India Mixed — SBI legacy ranges Music (Apple Music), cloud storage Some legacy ranges from State Bank of India still don’t trigger 3DS. RBI is pushing biometric migration but it’s slow.
Brazil Growing but gaps remain Subscriptions, streaming Bradesco, Banco do Brasil old ranges. PSD2 doesn’t apply. Regulations catching up but not there yet.

:light_bulb: Trick: The geo-gateway play works because fraud systems are NOT global — they’re regional. Stripe Radar in the US has seen billions of transactions and learned every pattern. The Korean billing processor has seen fewer transactions and has looser thresholds. You’re not outsmarting AI — you’re choosing which AI to face. Pick the dumber one.

🇰🇷 The Korean Meta — The 2026 Playbook

This is the most-used, most-tested, most-refined method on 1Hack right now. Multiple community members have been running it since late 2025. Over 50,000 combined views across related topics.

Why Korea specifically:

  • OpenAI’s Korean billing gateway validates BIN format but doesn’t deep-check card existence
  • Korean checkout bills in KRW (₩29,000 for Plus, ₩36,000 for Business) — different fraud threshold than USD
  • The gateway accepts cards from the 625814 family (Korean-issued UnionPay/local cards) with minimal verification
  • Korean address + Korean IP + Korean BIN prefix = the gateway treats it as a local transaction = lower scrutiny

What you need:

  1. VPN connected to South Korea (Seoul or any Korean server) — BEFORE opening anything
  2. Fresh email — never used on the target service before
  3. A generated card from a Korean BIN family
  4. A Korean billing address with the right ZIP code

The process is identical across services. Only the BIN and checkout URL change.

🔑 BIN Families & Rotation — Why One BIN Isn't Enough

A BIN family = multiple BIN ranges from the same issuer. Same bank, slightly different prefixes. Like siblings — similar enough to work on the same gateways, different enough that burning one doesn’t kill the others.

How rotation works:

Attempt 1-5:   Use BIN variant A (e.g., 451336000644xxxx)
Card declined → rotate ↓
Attempt 6-10:  Use BIN variant B (e.g., 451336000686xxxx)
Card declined → rotate ↓
Attempt 11-15: Use BIN variant C (e.g., 451336000681xxxx)
Still failing → the whole family might be burned. Find a new family.

Why this matters: Velocity detection tracks attempts per-BIN, not per-bank. If you hammer 451336000644xxxx 20 times and it dies, 451336000686xxxx from the same bank is still clean. The fraud system sees them as different card ranges.

Known BIN families (community-tested, 2026):

Family Region Variants Discovered Best Targets
625814 South Korea 625814260209, 625814260257, 625814263047, 62581423xxxx, 6233586370xxxx ChatGPT Plus/Business, AI tools via Korean gateway
451336 USA (Visa) 451336000644xxxx, 451336000686xxxx, 451336000681xxxx Stripe-powered checkouts: Grok, Brave VPN, Coursera, Peloton, Viki
410039 USA (Visa) 410039059772xxxx, 410039059777xxxx, 410039059778xxxx IPVanish VPN, Stripe merchants

How to find new families:

  1. Find a working BIN (from community, testing, or discovery)
  2. Note the first 6-8 digits
  3. Go to bincodes.com/bin-search → same bank → same country → same card type
  4. You’ll find 3-10 sibling BINs
  5. Test each — at least one or two will work on the same gateways

:light_bulb: Trick: When a BIN starts getting more declines (code 65 → code 05 progression), don’t panic. Rotate to a sibling BIN from the same family. The velocity counter resets immediately because the fraud system treats it as a different card range. Most people abandon a whole bank when one BIN dies. They shouldn’t — the siblings are usually still alive.

🗺️ Community-Tested Geo-Routes (April 2026)

These are real methods that real 1Hack members tested and reported working. Links go to the original community topics for full details, updated BINs, and troubleshooting from people who’ve actually run them.

Service Gateway Route What You Get Community Source
ChatGPT Plus South Korea :south_korea: Full GPT-5.x + image gen + Deep Research + Codex Multiple topics (50K+ combined views)
ChatGPT Business South Korea :south_korea: Enterprise tier — GPT-5.x + Sora 2 + Prism research 14.5K views, 74 likes
Grok AI (SuperGrok) USA :united_states: (451336 family) Real-time X integration + neural search 4.4K views
Brave VPN USA :united_states: (451336 family) WireGuard VPN built into browser Part of mega-pack method
IPVanish VPN USA :united_states: (410039 family) 2,400+ servers, WireGuard 2.0 1.2K views
Proton Unlimited Nigeria :nigeria: VPN + mail + 500GB + password manager + wallet 1.3K views
Canva Pro Bolivia :bolivia: Full design suite, normally $13/month 261 views
Coursera Plus USA :united_states: (451336 family) Unlimited courses + certificates Part of mega-pack
Scribd + Everand Varies Books + audiobooks + documents + magazines 1Hack-tested
1GB eSIM Data USA :united_states: (Visa Signature) Global mobile data, works in 100+ countries 1.6K views

Rules for using community methods:

  1. BINs expire. What worked in March might not work in April. Check the original topic for updates.
  2. Don’t skip the VPN. Korean methods need Korean IP. Period.
  3. Cancel before trial ends. Set a reminder. The card won’t be charged but your account might get flagged.
  4. Don’t share working BINs in 500-person groups. The more people use a BIN, the faster it dies.
  5. Report back. If you find a new working variant, post it. The community that gives is the community that gets.

:light_bulb: Trick: The Korean gateway method isn’t just about ChatGPT. ANY service that has regional billing and accepts Korean cards can potentially be accessed this way. When one method dies on ChatGPT, try the same Korean BIN family on OTHER services. The BIN didn’t die — that service patched it. The gateway itself is still weak.

Step 9: Pick Your Target

9a. Know What You’re Hitting

🔎 Recon Tools — What payment system is this site using?

Before you waste a good BIN on a hard target, find out what’s behind the checkout.

Tool What it does Link
BuiltWith Full tech stack — shows payment gateway, fraud detection, CDN builtwith.com
Wappalyzer Browser extension — instant tech detection on any site wappalyzer.com
WhatRuns Quick detection — lighter than BuiltWith whatruns.com
URLScan.io Safe page analysis — see what scripts load without visiting urlscan.io
SimilarTech Technology lookup across sites similartech.com

:light_bulb: Trick: Check for Signifyd, Forter, or Riskified BEFORE attempting. If BuiltWith shows any of these, the site has enterprise-grade fraud detection that shares data across merchants. Your decline at this store raises your risk score at every other store using the same system. Hit easy targets first, hard targets never.

📊 Gateway Matrix — What works where
Gateway Auth Charge VBV Check Difficulty Notes
Stripe :white_check_mark: :white_check_mark: $0.50-$10 :cross_mark: Hard Radar scores 0-99. Blocks at 75+ before bank sees it. Shares data across ALL Stripe merchants.
Braintree :white_check_mark: :white_check_mark: :white_check_mark: Medium-Hard PayPal owned. Network-wide fraud sharing.
PayPal :white_check_mark: Limited :cross_mark: Hard Own fraud system.
Cybersource :white_check_mark: Limited :white_check_mark: Hard Visa owned. Enterprise.
Square :white_check_mark: Limited :cross_mark: Medium Depends on settings.
Adyen :white_check_mark: Limited :white_check_mark: Hard Enterprise level.
Authorize.net :white_check_mark: :white_check_mark: Maybe Medium Old school, varies by merchant.
Shopify Payments :white_check_mark: :white_check_mark: Maybe Hard Stripe backend = Stripe Radar.
WooCommerce :white_check_mark: :white_check_mark: Maybe Easy-Medium Plugin-dependent. No shared fraud network.
Probiller :white_check_mark: :white_check_mark: :cross_mark: Easy-Medium Adult content processor. Lower verification standards than mainstream.
Donation sites :white_check_mark: :white_check_mark: :cross_mark: Easy Low security. Often have SCA exemptions for low amounts.

Target difficulty guide:

Target Difficulty Why
Donation sites ($1 custom) Easy Just want money. Low fraud investment. Often SCA-exempt.
Free trial pages Easy Built for zero friction. Want signups, not security.
Digital goods (G2A, game keys) Easy-Medium Auto-delivery. Low ticket. Regional stores even easier.
Small WooCommerce stores Easy-Medium Plugin-based, no shared fraud network.
Subscription services Medium First month cheap. Recurring auth often skips 3DS after first.
Adult content (Probiller) Medium Different fraud thresholds. Less sophisticated detection.
eSIM / telecom promos Medium BIN-prefix-only validation on some carriers (no full card check).
Food delivery (small orders) Medium Under $100 to a drop address. New account + residential IP.
Shopify stores Medium-Hard Stripe backend = Radar active.
Stripe direct Hard Full Radar + network-wide sharing.
Signifyd/Forter/Riskified protected Very Hard AI + behavioral biometrics + cross-merchant data sharing.
Big brands (Amazon, Apple, Nike) Very Hard Multiple protection layers. Manual review teams.

:light_bulb: Trick: The SCA exemption angle changes this matrix. A “Hard” Stripe merchant with TRA exemption enabled might skip 3DS for purchases under €30. A “Medium” Shopify store without exemption forces 3DS on everything. Difficulty isn’t just about the gateway — it’s about the merchant’s fraud configuration. Low-value digital goods on small merchants = highest success rate in 2026.

9b. What You Can Get

Services that do $0-1 auth — verify card, don’t actually charge:

🤖 AI Tools

ChatGPT Plus, ChatGPT Business, SuperGrok, Midjourney, Claude Pro, Perplexity Pro, Gemini Advanced, Grammarly Premium, ElevenLabs, Runway, Jasper, Copy.ai, Notion AI, Writesonic, Descript, Pictory, Murf, Speechify, Otter.ai, Synthesia, NoteGPT

🎬 Streaming & Entertainment

Spotify, Netflix, Hulu, Disney+, HBO Max, Paramount+, Apple TV+, YouTube Premium, Amazon Prime Video, Peacock, Crunchyroll, Discovery+, Tidal, Deezer, Audible, Starz, Showtime, AMC+, BritBox, Shudder, Sundance Now, Philo, FuboTV, Viki Pass

🔒 VPN & Security

NordVPN, ExpressVPN, Surfshark, ProtonVPN (+ full Proton Unlimited suite), CyberGhost, Private Internet Access, IPVanish, Brave VPN, 1Password, Dashlane, Bitwarden Premium, LastPass, NordPass, Keeper, RoboForm

☁️ Cloud & Productivity

Google One (2TB), Dropbox, Microsoft 365, Adobe Creative Cloud, Canva Pro, Notion, Evernote Premium, iCloud+, Todoist Premium, Trello Premium, Slack Pro, Zoom Pro, Airtable Pro, Monday.com, Asana Premium, ClickUp

🎮 Gaming

Xbox Game Pass, PlayStation Plus, EA Play, Nintendo Online, Discord Nitro, GeForce Now, Ubisoft+, Humble Choice, Apple Arcade, Google Play Pass, Luna+, Shadow PC

📚 Learning & Education

Coursera Plus, Skillshare, LinkedIn Learning, MasterClass, Udemy Business (14-day trial), Brilliant, Duolingo Super, Blinkist, Scribd (+ Everand + SlideShare), Headspace, Calm, Babbel, Rosetta Stone, Codecademy Pro, DataCamp, Pluralsight

🛒 Shopping & Delivery

Amazon Prime, Walmart+, Instacart+, DoorDash DashPass, Uber One, Grubhub+, Shipt, Target Circle 360, Best Buy Totaltech

💼 Professional Tools

LinkedIn Premium, Crunchbase Pro, SEMrush, Ahrefs, Moz Pro, Hootsuite, Buffer, Sprout Social, Mailchimp, ConvertKit, HubSpot, Peloton

📱 Telecom & Data

TravelGoogoo 1GB eSIM (Visa Signature BIN validation only — doesn’t check if card exists), various carrier promo trials

🔞 Adult Content

Sites using Probiller as payment processor — different fraud thresholds than mainstream. 3-4 day trial periods common.

:light_bulb: Trick: Streaming and AI tools are the highest-value targets because they’re $10-30/month subscriptions with instant digital access. No shipping. No drop address. No physical evidence. After the first authenticated payment, many subscription services skip 3DS on subsequent recurring charges. Get the first month through, the rest follows.

Step 10: Execute

The Pre-Flight Checklist

Run this every single time. No shortcuts.

BIN & Card:

  • BIN looked up — know bank/country/type
  • 3DS checked — NonVBV confirmed OR targeting a merchant with SCA exemption for this amount
  • Card generated — future expiry, correct CVV length
  • Luhn validated — format is correct
  • Live checked — confirmed alive (using IMMEDIATELY after)

Connection:

  • Proxy country = BIN country (or target gateway country for geo-routing)
  • Fraud score under 20 (check Scamalytics)
  • No WebRTC leak
  • No DNS leak

Browser:

  • Timezone = proxy location
  • Language = proxy country
  • Fresh antidetect profile (not reused)

Identity:

  • Temp email ready (not from flagged temp domains — use mail.tm or fresh Gmail)
  • Temp SMS ready (if needed)
  • Fake identity matches BIN country (or gateway country for geo-routing)
  • Address format correct — numeric house number + correct ZIP (AVS only checks these)

Geo-Gateway specific (if using Step 8 methods):

  • VPN connected to target country BEFORE opening anything
  • Address from region-specific generator (Step 7e)
  • ZIP code matches known working values for that gateway
  • Fresh email — never used on this service

All green? Go.

The Execution

  1. Go slow — act like a human. Move mouse in curves, not straight lines. Pause between fields.
  2. Fill forms at normal speed (not instant — 2-3 seconds between fields)
  3. Browse the site for 2-5 minutes BEFORE going to checkout. Build cookies. Look at a product. Scroll around. This builds a legitimate session history.
  4. One signup at a time
  5. If success, rotate BIN — don’t burn it by hitting the same BIN 10 more times
  6. If decline, read the decline code (Step 11) — don’t just “try again”

:light_bulb: Trick: Time matters. 3AM-6AM local time (of the merchant’s country) is the sweet spot. Less bot detection. Less human fraud review. Some merchants reduce 3DS challenges during off-peak because their risk models score low-traffic periods as lower-risk. Also: weekends > weekdays for the same reason. Saturday 4AM = the golden window.

Step 11: Troubleshoot

:warning: Every decline code tells you EXACTLY what failed. Stop treating all declines the same.

📟 Decline Code Diagnostic — Read The Code, Fix The Right Thing

This is the single most important troubleshooting upgrade. Each code = a specific diagnosis = a specific fix. No more guessing.

Code Name What It REALLY Means Fix
05 Do Not Honor Catch-all. Issuer blocked it. Could be fraud flag, risk score, velocity, or burned BIN. The most common and vaguest code. Try different BIN. If 05 across multiple BINs → your setup is burned (IP/fingerprint/email). Change everything.
14 Invalid Card Number The number doesn’t exist in any bank’s database. Failed format check. Regenerate. Luhn-validate BEFORE testing. You probably have a typo or bad generation.
51 Insufficient Funds GOOD NEWS. Card is REAL and ALIVE — just has no money. The BIN is valid. The number format is correct. The BIN works. Generate MORE cards from the same BIN. The format is confirmed good.
54 Expired Card Card exists but the expiry date you entered is wrong. Fix expiry month/year. If you don’t know the real expiry, try dates 2-3 years in future.
57 Transaction Not Permitted Card type can’t be used for this purchase category. Prepaid cards hit this on subscriptions. Probably a prepaid BIN. Switch to credit BIN. Or try a different merchant category.
61 Exceeds Withdrawal Limit Purchase amount is over the card’s limit. Try a smaller amount. Or different BIN with higher limit (Platinum > Classic).
65 Activity Limit Exceeded Too many transactions today on this card/BIN range. Velocity limit hit. Wait 24 hours. Or switch to a completely different BIN range. The velocity counter is usually per-BIN, not per-bank.
N7 CVV Mismatch ALMOST THERE. Card number is valid, expiry is valid — only the CVV is wrong. Regenerate CVV ONLY. Don’t change the card number — it’s correct. You’re one variable away.
41 Lost Card Real owner reported it lost. Hard block forever. Dead. Move to a completely different BIN.
43 Stolen Card Real owner reported it stolen. Hard block forever. Dead. Move on. Don’t retry.
91 Issuer Unavailable Bank’s system is temporarily down. Not your fault. Retry in 30 minutes. Nothing wrong with your setup.
12 Invalid Transaction Payment type not supported by this merchant/gateway. Different merchant. Or check if you’re sending the right card brand to the right gateway.

How to read the pattern:

Pattern Diagnosis Action
Code 05 on one BIN, different BIN works First BIN is burned Rotate BINs. Keep the working one.
Code 05 on ALL BINs at the same merchant Your setup is burned at this merchant Change IP + fingerprint + email. Try different merchant.
Code 05 everywhere, all BINs, all merchants Everything is burned — IP, fingerprint, behavioral pattern Full reset: new antidetect profile, new proxy, new email, new identity. Start fresh.
Code 51 BIN is good, card has no balance Generate more from same BIN. The format is confirmed valid.
Code N7 Card number + expiry correct, CVV wrong Only change CVV. Everything else is right.
Code 65 then 05 Velocity limit hit, then issuer started blocking Stop. Wait 24h. Different BIN range next time.
Code 14 repeatedly Generator is producing bad numbers Check your BIN input. Luhn-validate before attempting.

:light_bulb: Trick: Keep a log. Write down: BIN used, merchant, time, decline code. After 10-20 attempts, patterns emerge. “BIN 491653 gets 05 on Stripe merchants but 51 on WooCommerce” = Stripe is blocking the BIN but WooCommerce isn’t. “All BINs get 05 after 3PM” = your IP gets flagged during high-traffic hours when fraud monitoring is tightest. The log is your intelligence.

❌ Card Declined (Generic)

If you don’t see a specific code, or the site just says “Card Declined”:

Why Fix
BIN is dead/burned Find fresh one — public BINs die in hours
IP doesn’t match BIN country Get proxy from same country (or gateway country for geo-routing)
IP fraud score too high Check Scamalytics, need under 20
Using datacenter proxy Switch to residential/mobile
Card number invalid Regenerate, Luhn validate first
Expiry date wrong Use future date, 2-3 years out
CVV format wrong 3 digits Visa/MC, 4 for Amex
Card already used/checked Use fresh generated card
Device fingerprint dirty Stripe remembers your entire device, not just the card. Fresh antidetect profile.
🔐 Verification / 3DS / OTP Wall
Why Fix
BIN triggers 3DS Find NonVBV BIN (check bins.su with VBV filter). Or target merchants with SCA exemptions for low amounts (<€30). Or use geo-gateway routing (Step 8) to hit a gateway that doesn’t enforce 3DS.
Phone verification needed Use temp SMS service (smspool.net)
Email verification failing Try better temp email (mail.tm, or fresh Gmail)
Captcha wall Use antidetect, solve manually (not a bot solver)
ID verification required Target doesn’t work for generated cards. Move on.

:light_bulb: Trick: If you’re hitting 3DS walls on everything, stop chasing non-VBV BINs. Instead, target merchants with SCA exemptions — donation sites under €30, subscription services where recurring auth skips 3DS, or low-value digital goods on small merchants. Or try the geo-gateway play (Step 8) — route through a country whose gateway doesn’t enforce 3DS at all.

🚫 Account Banned Instantly
Why Fix
Same fingerprint as banned account Fresh antidetect profile
Same IP as previous attempts New proxy, different subnet
Same email pattern Different email format/provider
Going too fast Slow down. Act human. One at a time.
Too many failed attempts Break, switch everything, try tomorrow
Device fingerprint saved Different antidetect profile
Stripe Radar network-wide flag Your card/fingerprint got flagged at ANY Stripe merchant → flagged at ALL Stripe merchants. Need fresh everything.

:light_bulb: Trick: Stripe Radar, Signifyd, and Forter all share fraud signals across their entire merchant networks. One decline at Merchant A raises your risk score at Merchant B, C, D — even if you’ve never visited them. That’s why “fresh profile every attempt” isn’t paranoia. It’s the only way to avoid cross-merchant contamination. Each attempt = new fingerprint, new email, new session.

📍 Address Verification Failed (AVS)

Remember: AVS only checks NUMBERS. Not street names.

Code What Happened Fix
N (No match) Neither house number nor ZIP matches Fix both. Use a real ZIP from the BIN’s country/state. House number matters, street name doesn’t.
A (Partial) House number matches, ZIP doesn’t Fix the ZIP code only.
Z (Partial) ZIP matches, house number doesn’t Fix the house number only.
G (International) Non-US card — AVS not supported AVS is bypassed entirely. Non-US BINs often skip this check.
U/S/R Unavailable / not supported / retry AVS couldn’t check. Most merchants accept this and rely on other signals.

What AVS actually compares:

  • :white_check_mark: House/building number (numeric only — “123” from “123 Main St”)
  • :white_check_mark: ZIP code (5-digit or 9-digit)
  • :cross_mark: Street name (ignored completely)
  • :cross_mark: City name (ignored)
  • :cross_mark: State (ignored)
  • :cross_mark: Apartment label text (ignored — “Apt 4B” doesn’t matter)

:light_bulb: Trick: 91.9% of transactions declined for code N (no match) were actually legitimate. Merchants know this — that’s why many accept partial matches (A or Z). International cards (code G) bypass AVS entirely because most non-US issuers don’t participate. A non-US BIN on a US merchant = AVS returns “not supported” = merchant relies on other signals. Prepaid cards almost always fail AVS — the bank often has no address on file. If you’re getting AVS failures on prepaid BINs, switch to credit BINs.

⚠️ Generic Something Went Wrong Errors
Why Fix
Fingerprint messed up Fresh antidetect profile
Timezone mismatch Set to match proxy location
Language mismatch US proxy + Russian browser = suspicious
WebRTC leaking Enable shield, check ipleak.net
Old cookies Clear or fresh profile
JavaScript disabled Some sites need it
Behavioral detection You’re filling forms too fast, moving mouse too straight, or not browsing before checkout. Slow down. Browse 2-5 minutes first. Move mouse naturally.
📉 BIN Death Signals — How To Tell A BIN Is Dying

BINs don’t die instantly. They show symptoms first.

Signal What It Means What To Do
Decline rate increasing over 2-3 days Issuer is flagging the BIN range Rotate to a sibling BIN from the same family (Step 8)
Code 65 appearing more often Velocity detection tightened on this range Slow down. Fewer attempts per day.
Code 05 where you used to get 51 Issuer moved from “insufficient funds” to “do not honor” — active blocking now BIN is burned. Rotate to sibling BIN or find new family.
Community reports on forums/Telegram Others hitting the same wall Confirm with your own test. If yes, rotate.
3DS suddenly appearing on previously non-VBV BIN Issuer forced 3DS enrollment on the range BIN no longer usable for non-VBV methods. Try geo-gateway routing instead.

:light_bulb: Trick: If you get 2-3 successful hits then start getting declines, the BIN isn’t necessarily dead — YOUR velocity on that BIN hit the threshold. Switch to a different BIN from the SAME family (same issuer, different range). The velocity counter is per-BIN, not per-bank. Resets immediately on a new range.

😩 Nothing Works — Depression Mode
Reality Fix
Same BIN as everyone Find private/fresh BINs through communities. Or discover new families (Step 8).
Setup inconsistent IP + timezone + language + country ALL match
Moving too fast Slow down. Browse before checkout. Act human.
Fingerprinted Fresh profile EVERY time. Each attempt = new identity.
Target got smarter Different target, come back later. Or try geo-gateway routing through a different country.
Public tools burned Build/host your own (GitHub repos in Step 6)
Cross-merchant flagged Stripe/Signifyd share data network-wide. Need completely fresh setup.
Geo-gateway method stopped working The service patched that specific gateway. Try the same BIN family on different services. The gateway is still weak — one merchant fixed it, others haven’t.

If nothing works after checking everything:

  1. Take a break
  2. Try completely different target (small WooCommerce store, donation site)
  3. Get fresher resources (BINs, proxies)
  4. Join communities for better intel
  5. Read your decline code log — the pattern tells you what’s actually wrong
  6. Try a different geo-gateway route — if Korean stopped working, try Nigerian or Bolivian

Bonus: Level Up

For when you’re ready to go deeper.

🔗 GitHub Goldmines — Where new tools appear first

Bookmark these. Check weekly. Fresh tools drop constantly.

Topic What you’ll find Link
cc-checker 42+ repos github.com/topics/cc-checker
cc-checker-live 20+ repos github.com/topics/cc-checker-live
cc-checker-bot 24+ repos github.com/topics/cc-checker-bot
cc-checker-bot-telegram Active github.com/topics/cc-checker-bot-telegram
cc-generator 25+ repos github.com/topics/cc-generator
creditcard-checker Active github.com/topics/creditcard-checker
darkxcode-checker Active github.com/topics/darkxcode-checker
stripe-checker Active github.com/topics/stripe-checker
braintree-checker Active github.com/topics/braintree-checker
vbv-checker Active github.com/topics/vbv-checker
sk-checker Active github.com/topics/sk-checker
bin-checker Active github.com/topics/bin-checker
bin-lookup Active github.com/topics/bin-lookup
bin-database Active github.com/topics/bin-database
namso-gen Active github.com/topics/namso-gen
luhn-algorithm Active github.com/topics/luhn-algorithm
free-cc-checker Active github.com/topics/free-cc-checker
📦 Config Sources — For OpenBullet/SilverBullet/OB2 users
Source Configs Link
sr2echa/OpenBullet-Configs 2,600+ github.com/sr2echa/OpenBullet-Configs
CrackingX Fresh monthly crackingx.com/forums/10/
xReactor OB2 Tested with screenshots xreactor.org/forums/openbullet-2-configs.218/
NoHide 308+ mixed nohide.io
Crackia OB configs crackia.com/forum/145-open-bullet/
Nulled Mixed quality nulled.to
LeakBase Various leakbase.io

Reality: Public configs = 30-50% working. Private = $50-500 each. Building your own = best investment. Configs have a shelf life of weeks — gateways patch the auth flows they target. If a config is older than 30 days, test before trusting.

:light_bulb: Trick: Config freshness indicator — check the last commit date on GitHub repos and the post date on forum threads. Anything older than 4-6 weeks is suspect. Gateways like Stripe update their fraud models monthly. A config that worked in January might be dead by March. The forum threads with screenshots showing recent test dates are the most reliable.

🤖 Automation Tools
Tool Link Notes
Puppeteer pptr.dev Node.js browser automation
Playwright playwright.dev Microsoft’s alternative — better stealth than Puppeteer
undetected-chromedriver GitHub Bypass bot detection
Selenium selenium.dev Classic automation
AutoHotkey autohotkey.com Windows scripting
PyAutoGUI pyautogui.readthedocs.io Python GUI automation
OpenBullet 2 GitHub Config-based automation

Warning: Master manual first. Automation amplifies mistakes. A bad setup automated = 50 burned cards in 5 minutes instead of 1.

:light_bulb: Trick: Puppeteer and Playwright produce detectable behavioral patterns by default — mouse moves in straight lines, typing is uniform, scrolling is perfectly smooth. Modern fraud systems (BioCatch, NeuroID, Sardine) detect this. If automating, use libraries that simulate human-like mouse curves and variable typing delays. puppeteer-extra-plugin-stealth helps but isn’t bulletproof. The best automation mimics the exact randomness of human behavior — slight pauses, non-linear mouse paths, variable scroll speeds.

🕰️ Trial Freezing — The Offline Complement

BINs handle online trials. But some software validates trials locally — checking the system clock or a license file. For those, you don’t need a BIN at all.

RunAsDate / TimeShift — Makes any Windows app believe it’s any date you want. The trial counter thinks it’s forever day 1.

Tool What It Does Link
RunAsDate Launches any .exe with a fake system date/time. Trial app thinks it’s still within the trial period. nirsoft.net/utils/run_as_date.html
TimeShift Same concept, different UI Search GitHub

When to use: Software that checks the clock locally (not phoning home to a server). IDEs, design tools, video editors with offline trial validation.

When NOT to use: Cloud-verified trials (Adobe CC, Microsoft 365, anything that checks a server). These verify your trial status online — no amount of clock manipulation helps.

:light_bulb: Trick: If you’re not sure whether a trial checks locally or online, disconnect from the internet and open the app. If it still counts down, it’s checking locally = RunAsDate will work. If it demands internet or shows “verify license,” it’s server-checked = you need a BIN.

🎓 The .edu Email Combo — Double Access Layer

Some premium services offer permanent free access (not trials) to anyone with a .edu email address. No BIN needed. No expiration. Just an email from a school.

Services with .edu free tiers:

  • Canva Education — Full Canva Pro, forever, free. Normally $156/year.
  • GitHub Student Developer Pack — $200+ worth of tools and credits.
  • JetBrains — All IDEs free for students.
  • Notion — Plus plan free.
  • Figma — Education plan free.
  • AutoDesk — Full suite free.

Where to get .edu emails:

  • Community College open enrollment (legit, often free to register)
  • Student email services (check 1Hack topics)
  • Student ID generators (community-tested for services that verify by document, not email domain)

The combo play: .edu email gets you permanent access to Canva, GitHub, etc. BIN methods get you access to everything else (ChatGPT, Spotify, Netflix). Stack both and you’ve covered 90% of premium software for $0.

:light_bulb: Trick: Some services (like Google’s Gemini Advanced) offer extended trials through Coursera. Sign up for Coursera trial with a BIN → activate Google AI Pro → cancel Coursera → keep the Google subscription for the trial period. Chain reactions. One trial unlocks another.

🔌 Custom Gateway Template — For developers 
<?php
// gateways/my_custom_gateway.php

return [
    'name' => 'My Custom Gateway',
    'version' => '1.0',
    'author' => 'YourName',
    
    'config' => [
        'api_key' => '',
        'merchant_id' => '',
        'endpoint' => 'https://api.gateway.com/v1/charge'
    ],
    
    'check' => function($card, $exp, $cvv, $config) {
        $response = http_post($config['endpoint'], [
            'card' => $card,
            'exp' => $exp,
            'cvv' => $cvv,
            'key' => $config['api_key']
        ]);
        
        return [
            'status' => $response['approved'] ? 'live' : 'dead',
            'msg' => $response['message'] ?? $response['error']
        ];
    }
];

Drop in /gateways/ folder → auto-detected.

🧠 Stripe Radar — How The Biggest Gateway Actually Thinks

Stripe processes $1.4 trillion/year. Radar is the AI that guards it. Understanding how it works = understanding why things fail.

Architecture: Pure deep neural network (DNN). Retrained continuously — a model from last month is already stale.

Risk score: 0-99 per transaction.

  • Score 0-64 = normal risk → passes
  • Score 65-74 = elevated risk → may trigger review or 3DS
  • Score 75-99 = high risk → auto-blocked BEFORE the bank even sees it

What Radar evaluates (1,000+ signals):

Signal Category What It Checks
Device fingerprint Browser, screen, fonts, GPU, timezone, language. Consistency across sessions.
IP intelligence Geolocation, proxy/VPN detection, datacenter vs residential, fraud score.
Card metadata BIN country, funding type (prepaid/credit/debit), card brand. Prepaid = extra scrutiny.
Velocity Total charges per card/hour, charges per customer, charges per IP. Same BIN + different middles = #1 fraud signal.
Behavioral Form fill speed, mouse movement, scroll patterns — via Radar Sessions JS.
Address AVS match result, billing/shipping mismatch, address country vs IP country.
Network data Has this card been seen across OTHER Stripe merchants? Previous disputes? Fraud reports from Visa/MC?
Email reputation Is this a known temp email domain? How old is the email? Has it appeared in previous fraud?
Issuer response CVC match, postal code match — combined with risk score AFTER authorization.

Key weaknesses:

  1. First-time device fingerprint — no history to score against. Blank slate = lower risk than a fingerprint with failed history.
  2. Residential/mobile IPs — Radar can’t flag these aggressively without blocking legitimate customers.
  3. Low-value transactions — less scrutiny because less potential loss for the merchant.
  4. Pre-checkout browsing — a session that browsed products for 5 minutes before checkout looks more legitimate than one that went straight to payment.
  5. Regional gateways — Stripe Radar in the US has billions of training data points. Regional processors have less data = weaker models = more gets through.

Key strengths (don’t fight these):

  1. Cross-merchant data sharing — sees the same card/fingerprint across MILLIONS of merchants.
  2. Prepaid card flagging — built-in rule: :card_funding: = 'prepaid' is a default risk signal.
  3. Velocity correlation — tracks attempts across time, IP, fingerprint, and card simultaneously.
  4. Real-time model updates — adapts within hours, not weeks.

:light_bulb: Trick: Radar blocks at 75+ before the bank sees it. If you’re getting not_sent_to_network in the response — that’s Radar, not the bank. Your card might be fine. Your setup is the problem. The fix: fresh everything (fingerprint, IP, email) + pre-checkout browsing + slow form fill + low-value amount. Each of these lowers your Radar score by a few points. Stack them all.

:bullseye: Quick Reference

Need Best choice
BIN lookup bins.su (has VBV filter)
8-digit BIN lookup NeutrinoAPI (2.5M records) or FraudLabs Pro
Reverse BIN lookup (bank → BIN) bincodes.com/bin-search
BIN from partial card info bincodes.com (bank + country + type filter)
Unconventional BIN source Scribd (filter by “last month”)
3DS / VBV check bins.su VBV filter + DIY test on Netflix/Stripe
Card generator (online) GoNamsoGen or Namso.io
Card generator (offline) Test Card Generator 2030 or CC_Gen Python
All-in-one extension DotBypasser
Auto-hitting Stripe Stripe Auto Hitter v0.1.2
Luhn check dcode.fr (also finds missing single digit)
Luhn brute force (BIN + last 4 known) Securology C# tool or EKOPARTY Python script
Fraud score Scamalytics
Web checker MASS-CC-CHECKER (self-host)
CLI checker (Python) Stripe-Checker-Python
CLI checker (PHP) CC-EXTRAP
Telegram bot CC Checker Bot (502​:star:)
Antidetect (best) Multilogin
Antidetect (value) GoLogin
Antidetect (free) Dolphin Anty or Incogniton (10 profiles each)
Temp email mail.tm (less flagged than mailinator)
Temp SMS (paid) smspool
Temp SMS (free) receivesms.co
Target recon BuiltWith
Config pack sr2echa/OpenBullet-Configs (2,600+)
Community CrdPro.cc or xReactor.org
Find SK keys KeyHacks + TruffleHog + GitHub dorking
Leak tests ipleak.net + browserleaks.com
BIN database (offline CSV) binlist.io (343K BINs, free download)
Decline code lookup Step 11 diagnostic table (in this guide)
AVS code lookup Step 11 AVS section (in this guide)
Korean address generator fakexy.com/fake-address-generator-kr
Geo-gateway strategy Step 8 (in this guide)
BIN families & rotation Step 8 (in this guide)
Trial freezing (offline) RunAsDate (nirsoft.net)
.edu email sources 1Hack Edu Email Bible

:skull: The Rules

:white_check_mark: Do :cross_mark: Don’t
Match EVERYTHING (IP, timezone, language, country) Mix US BIN with German IP and Russian browser
Go slow — one signup at a time, browse before checkout Spam 50 signups in 10 minutes
Use residential/mobile proxies Use datacenter or home IP
Fresh antidetect profile each attempt Reuse dirty/banned profiles
Keep working BINs private Share in 500-person Telegram groups
Rotate BINs within families when one cools off Beat same dead BIN forever
Check IP fraud score FIRST Assume any IP is clean
Act like a human — curves, pauses, browsing Instant form fill like a robot. Straight mouse lines.
Check card before using Assume generated card is alive
Luhn validate first, then live check Skip validation, waste live checks
Use card IMMEDIATELY after confirmed Check now, use tomorrow (dead)
Build/host private tools (GitHub repos) Trust random public bots with good BINs
Read decline codes — each one is a diagnosis Treat all “declined” as the same problem
Try geo-gateway routing when US checkout fails Only use US gateways because “that’s how it’s done”
Target low-value digital on small merchants first Jump straight to Amazon/Apple with a fresh BIN
Join communities for fresh intel Rely only on public resources
Log every attempt (BIN, merchant, time, code) Guess randomly without tracking what worked
Cancel before trial ends — set a reminder Forget and get flagged when the charge bounces

Brain check before you go:

  • BIN = first 6-8 digits. Everything flows from this.
  • 8-digit BINs exist since 2022. Check NeutrinoAPI or FraudLabs Pro.
  • NonVBV still exists — but “frictionless flow” (BIN + merchant combo) is the 2026 play.
  • Geo-gateway routing is the 2026 meta. Korean, Nigerian, Bolivian gateways have weaker verification. Same BIN, different door, different result.
  • BIN families let you rotate when one gets burned. Same bank, different suffix = fresh velocity counter.
  • bins.su has a VBV filter. Use it.
  • SCA exemptions mean VBV BINs can pass on low-value transactions at the right merchants.
  • Fraud score under 20 = invisible.
  • Mobile proxy > residential > datacenter (never).
  • Card alive = use NOW, not later.
  • Decline code 51 = BIN works, card has no balance. Generate more.
  • Decline code N7 = card number + expiry correct, only CVV wrong. Almost there.
  • AVS only checks house number + ZIP. Street names don’t matter.
  • Stripe Radar scores 0-99. Blocks at 75+ before the bank sees it. Shares data across ALL Stripe merchants.
  • Fresh fingerprint = blank slate = lower risk score than a dirty one.
  • Stripe remembers your device, not just your card. “Different card, same browser” = same fingerprint = instant block.
  • Everything matches = everything works.
  • When one method dies, the gateway is still weak — try the same BIN family on different services.

Still failing? Check these in order:

  1. Decline code → tells you exactly what’s wrong
  2. IP country vs BIN country (or gateway country) → must match
  3. Fraud score → must be under 20
  4. Timezone + Language → must match proxy location
  5. Fingerprint → must be fresh, not reused
  6. Behavioral → did you browse before checkout? Mouse curves? Slow typing?
  7. Gateway route → have you tried a different country’s checkout?

Find the liar. Fix it. Retry.

Stop reading. Start doing. :wrapped_gift:

6

Everybody Must be Bookmark this high value content . tnx for share it :x

8

:fire: MASSIVE UPDATE: Merged the Free Trial Bible + Checker Bible + New complete research into one mega-guide — now you’ve got 50+ tools, 3 generation modes, gate strategies, and troubleshooting all in one place instead of bouncing between 3 tabs like a crackhead.

So-so-so…: It was good. Now it’s stupid good. You’re welcome. :wrapped_gift:

9

can you attach the link for the bible that you refer to? cause ive tried to find it and confused to which one that you refer to

11

You’re already looking at it boy :grinning_face_with_smiling_eyes: — this topic IS the Bible. Just updated it with everything merged into one place. Scroll up, click those [details] dropdowns, and you’ll find BINs, checkers, bypassers, setup guides — the whole buffet. Enjoy! :wrapped_gift:

12

image
image609×206 5.29 KB

when I’m using DotBypasser, it’s giving this issue.

it’s my first time using this tool, how to solve?

13

1. Click extension icon to open DotBypasser page
2. Enter your BIN (optional — can also use Extrap or Card List)
3. Visit any site with supported gateway
4. Fill basic details on payment page
5. Put random card number, expiry, CVV
6. Click PAY — bypasser does its magic
7. Check DotBypasser page for logs

:warning: Pro tip: Try at least 10 times if first attempt fails

I wanna ask:
do i only need to tap the payment button for 10 times without doing anyelse?

16

me too. how fix it?

17

This is a goldmine share, thanks for the detailed explanation.
Now I have a better understanding of BINs

18

Hey guys.

I have a question please. How you carders know which BIN works for which sites? Where you got BIN and post them here or on telegram or on other sites? Where carders know all that?

19

:world_map: One-Line Flow

There is no magic list — just people who test, document, and share faster than you.

🧠 Why This Matters (Read This First)

You’ve been asking the wrong question. Everyone wants “which BIN works” — but the people hitting consistently aren’t chasing lists. They’re building systems.

The uncomfortable truth: The same BIN (413502) might work on Netflix but trigger 3DS on Spotify. Same card, different site, different result. BINs are probabilistic, not deterministic.

Once you understand this, you stop gambling and start researching.

📊 How People Actually Know Which BIN Works Where

Nobody “knows” — they test and document. Here’s the actual workflow:

:wrench: Method :memo: How It Works :high_voltage: Reliability
Personal Testing Test $0.50-$5 on target sites. Log every result. Build your own database. :trophy: Highest
Community Sharing Verified results shared in forums/Telegram — actual test data, not rumors :2nd_place_medal: High
Pattern Recognition Over time you spot trends: certain banks, regions, card types work better on specific sites :2nd_place_medal: High
BIN Reviews Platforms like BinX.cc have community reviews — real users reporting success/failure :3rd_place_medal: Medium
Public Telegram Channels High volume, but BINs burn FAST (thousands testing simultaneously) :skull: Low

The Log Format Pros Use:

479126 | ESL F.C.U. | Visa Debit | US | 2025-12-10 | Amazon.ca | $10 | No 3DS ✅
479126 | ESL F.C.U. | Visa Debit | US | 2025-12-10 | Expedia | $100 | 3DS triggered ❌
441840 | Comerica Bank | Visa Business | US | 2025-12-11 | Netflix | $0 auth | No 3DS ✅

Over months, this becomes your custom playbook. The BIN that works for you might not work for someone with different setup/IP/timing.

🌐 Where BINs Actually Come From — The Ecosystem Map
:card_index_dividers: Source :memo: Reality :skull: Burn Rate
Personal Discovery Trial & error. The most valuable BINs are ones YOU find. Slowest
Private Telegram Groups Invite-only, real-time success/fail logs, vetted members Slow
BinX.cc d0ctrine’s free community platform — BIN lookup, reviews, shared lists Medium
Carding Forums Carder.su, 2crd.cc, CrdPro — threads like “Fresh Non-VBV BINs 2025” Medium-Fast
Public Telegram Channels @BINSCCHUB, @AllBins, @predatorbins — high volume, rapid burn Fastest

The Hierarchy:

Private Discovery > Private Groups > Community Platforms > Forums > Public Channels
        ↑                                                                    ↓
   (stays alive)                                              (dead in 24 hours)
🎯 The Actual Methodology — How Pros Hunt BINs

Step 1: Target the Right Banks

Not all banks are equal. Some lag in 3DS adoption:

:bank: Bank Type :brain: Why They Work
Small Regional Banks Can’t afford full 3DS 2.0 implementation
Credit Unions Legacy systems, slower security upgrades
Prepaid Card Issuers Designed for quick use, less friction
Business/Corporate Cards Often bypass 3DS for convenience

Example Non-VBV Targets (educational):

  • US: Regional banks like ESL F.C.U., Woodforest National, Fifth Third
  • UK: Metro Bank, Cater Allen (older BINs)
  • Australia: Bankwest, Suncorp-Metway
  • Prepaid: Revolut, Green Dot, NetSpend

Step 2: Use the Right Tools

:wrench: Tool :bullseye: Purpose :link: Link
BinX.cc BIN lookup + community reviews binx.cc
binlist.net Basic BIN lookup binlist.net
bincheck.io BIN info + validation bincheck.io
3DS Checkers Verify BIN status before testing Forum scripts
DotBypasser Generate + auto-fill + test git.dotbypasser.net
Namso-Gen Card generation from BIN namso-gen.com

Step 3: Test Strategically

Where to Test (Low-Risk):

  • Donation sites with custom $1 amounts
  • Free trial signup pages (Spotify, Netflix, etc.)
  • Digital product stores
  • Subscription services (first month cheap)

Where NOT to Test:

  • Big brands (Amazon, Apple, Nike) — they log everything
  • Stripe direct — smart fraud detection
  • Anything with Signifyd/Forter/Riskified

Testing Rules:

  1. Start with $0.50-$5 transactions
  2. Match IP country to BIN country (always)
  3. One BIN at a time — don’t mass test
  4. Document EVERYTHING

Step 4: Build Your Personal Database

Every test = data point. Track:

:memo: Field :clipboard: Example
BIN 479126
Bank ESL F.C.U.
Card Type Visa Debit
Country US
Date 2025-12-10
Site Tested Amazon.ca
Amount $10
Result No 3DS :white_check_mark:

After 50-100 tests, patterns emerge. That’s your edge.

Step 5: Network & Share

The scene runs on trust, not hype. Verified results > rumors.

  • Share what actually worked (with proof)
  • Join private groups via forum referrals
  • Build reputation before asking for intel
💀 Why Public BINs Die So Fast
:skull: Problem :brain: What Happens
Velocity Detection Bank sees 1000 transactions from same BIN pattern in 24 hours → flags everything
Site Blacklisting Merchant adds BIN to blocklist after seeing fraud patterns
Community Burn 5000 people test the same “fresh” BIN simultaneously → dead by dinner
3DS Upgrades Bank pushes 3DS to that card range after fraud detection

The Math:

  • Public BIN posted at 9am
  • 500 people see it by noon
  • 200 people test it by 3pm
  • Dead by 6pm

Private BIN you discovered yourself:

  • Only you know it
  • Test it slowly over weeks
  • Stays alive for months

Your edge isn’t a BIN — it’s your testing pipeline.

🔗 The Resource Stack

BIN Lookup & Research

:wrench: Tool :bullseye: Use Case :link: Link
BinX.cc Community reviews + lists binx.cc
binlist.net Quick lookup binlist.net
bincheck.io Detailed BIN info bincheck.io
bincodes.com Generator + lookup bincodes.com
bins.su Alternative lookup bins.su

Card Generation

:wrench: Tool :bullseye: Use Case :link: Link
DotBypasser Extension — BIN/Extrap/Card List git.dotbypasser.net
GoNamsoGen Web — BIN + Extrap modes gonamsogen.com
namso-gen.com Classic generator namso-gen.com

Forums (Active BIN Threads)

:globe_with_meridians: Forum :memo: What to Search
Carder.su / Carder.market “Fresh Non-VBV BINs 2025”
CrdPro.cc d0ctrine’s guides
2crd.cc Regional BIN threads

Telegram (Use With Caution)

:mobile_phone: Channel Type :warning: Reality
Public channels (@AllBins, etc.) High burn rate, assume BINs are half-dead
Private groups Better intel, need referral to join
🏆 The Real Answer — Ranked

How do they know which BIN works for which site?

:1st_place_medal: Rank :wrench: Method :memo: Reality
1 Personal Testing They tested it themselves. Logged results. Built database over months.
2 Private Group Intel Trusted circles sharing verified results in real-time
3 Community Platforms BinX.cc reviews, forum threads with recent activity
4 Pattern Recognition Experience — knowing which bank types/regions work for which merchants
5 Public Lists Last resort. Assume 50%+ is already burned.

Budget Reality: Serious operators spend $100-200/month on BIN research (testing costs, proxy costs, occasional vendor purchases).

Time Reality: Building a solid personal database takes 2-3 months of consistent testing.

The Mindset Shift:

Stop asking “what BIN works” — start asking “how do I build a testing system”

⚡ Quick Start — If You're New
  1. Get tools: BinX.cc for lookup, DotBypasser for generation
  2. Pick a target: One service (Netflix, Spotify, whatever)
  3. Find BINs: Use BinX reviews filtered by that service
  4. Test small: $0 auth or lowest possible amount
  5. Log everything: BIN, bank, date, site, result
  6. Iterate: What failed? Why? Different BIN? Different IP? Different time?
  7. Build database: After 20-30 tests, you’ll see patterns

The unsexy truth: The people hitting consistently aren’t smarter — they’re just more systematic. They treat it like market research, not gambling.

Summary for the scrollers:

There’s no secret database. People who consistently hit are just testing methodically, documenting results, and sharing in trusted circles. The BIN is just a tool — the system is what prints.

Now stop asking for fish and learn to fish. :fishing_pole:

Check the main guide above :index_pointing_up: for the full tool list, setup guides, and troubleshooting.

20

im wondering, is that only me that currently cant open the binx.cc?

22

Nah fam, it’s not just you — (both main + mirror binx.pw) is down for everyone right now. Both the main site and the backup mirror (binx.pw) are throwing DNS errors. Could be hosting issues, domain problems, or d0ctrine doing maintenance. No official word yet.

But don’t panic. I gotchu with alternatives until it’s back. :backhand_index_pointing_down:

⚡ Quick Answer (Simple-Pimple)

For basic BIN lookups right now:

For everything else BinX did? Keep reading — it’s complicated.

🤔 Wait, What Made BinX Special Anyway?

BinX wasn’t just another lookup site. It had 4 things most tools don’t:

Feature What It Does (In Normal Words)
BIN Lookup Type 6 digits → get bank name, country, card type
Community Reviews Real people saying “this BIN worked on Amazon” or “this one’s dead”
Resale Checker Checks if someone’s selling you the same card on 5 different shops (scam detection)
Payload Decoder Translates the gibberish that fraud detection systems send (so you know what they’re checking)

Most free tools only do #1. BinX did all four. That’s why it hurts when it’s down.

🔧 BIN Lookup Alternatives (The Easy Part)

These replace the basic “type a number, get bank info” function:

Site Link Notes
bins.su bins.su Big database, been running forever
binlist.net binlist.net Clean, simple, fast
bincheck.io bincheck.io Shows more details
bincodes.com bincodes.com Also has a card generator built in
binchecker.pro binchecker.pro Another solid option

Pro tip: bins.su has filtering options most others don’t. You can search by country, bank, card type, etc.

📝 Community Reviews (Where People Share What Actually Works)

BinX let users review BINs like Yelp reviews restaurants. “5 stars, worked on Spotify” type shit.

No single site replaces this, but here’s where people share results:

Source Link What You’ll Find
CrdPro.cc crdpro.cc d0ctrine’s home forum — check BIN threads
Carder.market carder.market Active community, real test reports
ASCarding.net ascarding.net Where d0ctrine’s guides live
CardingLegends cardinglegends.com Blog format, dated NonVBV lists
Trailtechs trailtechs.com Aggregated BIN intel

The move: Search these forums for the specific BIN you’re curious about. Someone’s probably tested it.

🚨 Resale Checker (Bad News)

This was BinX’s “is someone selling me recycled garbage?” detector.

Real talk: Nothing public replaces this right now.

Your options:

  • Manual method — Buy from one shop, check if same last4/exp appears elsewhere (tedious af)
  • Forum intel — Sometimes people expose shops reselling same dumps on CrdPro/Carder.market
  • Trust your vendor — Stick to shops with actual reputation

This feature might come back when BinX does. Until then, you’re on your own here.

🧠 Payload Decoder (The Nerdy Shit Explained Simply)

What this even means:

When you visit a checkout page, sites like Amazon or BestBuy run invisible scripts that collect info about you — browser type, screen size, mouse movements, etc. This gets scrambled (obfuscated) and sent to fraud companies like Riskified or Forter.

BinX’s decoder unscrambled that gibberish so you could see exactly what they’re checking.

Why you’d care: If you know what they’re looking at, you know what to spoof.

Alternatives that do similar things:

Tool Link Difficulty
Obfuscator.io Decoder obf-io.deobfuscate.io Easy — paste code, click button
deobfuscate.io deobfuscate.io Easy — auto-detects type
de4js lelinhtinh.github.io/de4js Easy — good for packed JS
Base64 Decoder base64decode.org Easy — for simple encoded stuff
Burp Suite portswigger.net Hard — but most powerful

Easiest path: Start with obf-io.deobfuscate.io. Paste the scrambled code, hit decode, read the output.

Want to go deeper? d0ctrine wrote a full guide on using Burp Suite to intercept and decode Riskified payloads. It’s on ASCarding.net (Thread #7982 — “Tampering Antifraud Requests using Burp Suite”).

🛠️ The DIY Stack (Ghetto BinX Until It's Back)

If you want to piece together BinX’s functionality yourself:

BIN Lookups ➜ bins.su + bincheck.io
NonVBV Lists ➜ cardinglegends.com + forum threads  
Community Intel ➜ CrdPro.cc + Carder.market
Payload Decode ➜ obf-io.deobfuscate.io (easy) or Burp Suite (advanced)
Resale Check ➜ ❌ nothing exists, sorry

It’s not as clean as having everything in one place, but it works.

📡 How to Know When BinX Is Back
  • Watch CrdPro.cc — d0ctrine posts updates there
  • Check the original thread — Carder.market BinX announcement
  • Try both domains periodically:
    • binx.cc
    • binx.pw (backup mirror)

When it’s back, you’ll probably see posts about it within hours.

Bottom line: BinX was a unicorn. Nothing fully replaces it right now, but between bins.su for lookups, the forums for community intel, and obf-io for decoding — you can survive until d0ctrine brings it back.

Stay patient. :hammer_and_wrench:

23

Just mass-revamped! :pink_heart:

went from scattered encyclopedia energy → clean step-by-step flow that actually makes sense

  • beginner can now follow start-to-finish without getting lost. advanced people still have every tool they need.

lesss goooooo… :ballet_dancer:

25

Like Always i really love everythings @SRZ

26

this is the best Masterclass i ever attended in my life

27

Share all this

28

so much info really good

29

The 3dslookup.com is not working anymore

30

Updated the whole thing top to bottom. Dead tools replaced, 32 tricks added, decline codes now tell you exactly what’s wrong instead of just “declined,” and the 3DS section actually works again. If you read the old version — read it again. :fire: