💳 Getting NONVBV/NON-3DS BINS (No Cards Method + Script) 💳

[slaveoflife]

Getting NONVBV/NON-3DS BINS (Part 2) (No Cards Method + Script)

This guide takes it up a notch. Were talking about a method to check any BIN without even having any cards. Thats right, you can scope out entire ranges of cards before you even think about buying them. No more wasting money on duds - youll be finding the perfect BIN without spending a single dollar.


So put down that warm beer, wipe the Cheeto dust off your fingers and pay attention. This isn't just some theoretical bullshit - its practical knowledge that'll save you time, money and a whole lot of headaches. Ready to level up your BIN game? Lets fucking go.


The 3DS Process

Now that you understand why were here, in order to fully grasp our method, lets dive into how payment processors figure out if a card supports 3DS just by looking at its BIN. The process isn't black magic - its all about databases, real-time lookups, and a shitload of backend processing. I would've covered this on the first part already, but since I'm making this now Ill just tackle this here.

• Databases: You need to realize that these processors aren't flying blind. They've got detailed databases straight from the banks, packed with info on every BIN out there. Were talking 3DS support, fraud risk levels, issuer policies - the whole package. And they keep this shit updated regularly.
• Real-time processing: When a transaction is initiated, the processor extracts the BIN and runs it against their database in milliseconds. But sometimes they don't trust their own data. For high-risk transactions or when they're feeling extra cautious, they'll reach out in real-time to card networks or even the issuing bank.
• Directory Server: This is where the Directory Server (DS) comes in. The processor queries this DS, which then communicates with the issuer to get the final word on whether 3DS is needed and what version they're using.
• Transaction completion: If the BIN doesn't support 3DS or the issuer decides its not necessary, the transaction goes through without the extra security bullshit.

Binners

Lets take a step back and talk about binners for a second. We covered these dipshits on another forum, but for those who missed it, here's the lowdown.

Binners are the bottom-feeders of the carding world. These idiots think they're clever because they can take a BIN, slap on some random numbers, and pray to RNGesus that one of their combinations works. Its like playing the lottery, except the prizes are shitty and the odds are even worse.

Here's their "genius" process: Start with a valid BIN, generate a fuckton of possible combinations for the remaining digits, then run these through some junky checker and hope something sticks. Its about as effective as using a fork to eat soup, but every now and then, they get lucky.

But here's the thing - these binner morons accidentally stumbled onto something useful. They found a way to test BINs without having actual cards. And that's where we come in. Were going to take their half-assed idea and turn it into something actually fucking valuable.

See, while binners are busy throwing shit at the wall hoping something sticks, were going to be smart about it. Well combine their BIN generation technique with our knowledge of 3DS checking. The result is a method to scope out entire BIN ranges for VBV status without spending a dime on cards.


The Process

See, the truth of the matter is you don't even need a live card to check if it supports 3DS. What does that mean for us? It simply means we don't need to source and purchase a bunch of cards just to test if they are 3DS. We simply generate a bunch of cards from the BIN run a 3DS check on each and bam! We got a well-oiled machine that checks the 3DS for us without spending a dime on buying cards.

Here's how this shit works:

• BIN Generation: Start with the first 6-8 digits of the BIN you're interested in. Then generate a fuckton of possible card numbers using that BIN. Make sure they pass the Luhn algorithm check - were not complete savages here.
• Batch Processing: Take your list of generated numbers and run them through a 3DS check. Remember how we covered that process earlier? Yeah same shit applies here.
• Analysis: Look at the results. If most of the generated numbers from a BIN come back as non-VBV you've probably struck gold. If they're all hitting 3DS well tough luck buttercup.
• Rinse and Repeat: Do this for multiple BINs and you'll start building a database of VBV vs non-VBV BINs larger than you can imagine.

The Script

Since I love you guys so much, I made and hosted a script just for you. Simply paste the BINs in the box, click generate and it will spit out generated cards that you can then check on your checker (if you followed our first part) or on Lux and whatever the fuck kind of 3DS checker you settled on.

Here's the link to the generator:

Card Information Generator

Now don't go thinking I'm your personal code monkey. This is a one-time deal, so use it wisely. The script generates cards based on the BINs you input, complete with expiration dates and CVVs. Its not rocket science, but ill save you the hassle of writing your own shit.

Now, what you do with these generated cards is your business. Run them through your 3DS checker, feed them to Lux, use them as wallpaper for all I care. Just remember - generating cards isn't the same as having real, working cards. Don't be the dipshit who tries to use these for actual purchases. Were only using these to validate if the BINs are 3DS/VBV.


Wrapping Up

So there you have it - a method to map the 3DS landscape without spending a dime on actual cards. Pretty fucking clever, right? But don't let it go to your head. This isn't some magic wand that'll suddenly make you the Wolf of Wall Street. Its a tool, and like any tool, it can build you an empire or slice off your fingers if you're not careful.

Use this knowledge wisely, or don't. Just don't come crying when you fuck it up. You've been warned.

Now get out there and start building that BIN database. With enough work, you'll have a roadmap that'll make you the king of non-VBV paradise.

Class dismissed. Make me proud, you beautiful bastards. d0ctrine out.

Telegram: d0ctrine

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Disclaimer: The information provided in this writeup and all my writeups and guides are intended for educational purposes only. It is a study of how fraud operates and is not intended to promote, endorse, or facilitate any illegal activities. I cannot be held liable for any actions taken based on this material or any material posted by my account. Please use this information responsibly and do not engage in any criminal activities.

 

[Professor]

Excellent follow-up, d0ctrine — this Part 2 really elevates the methodology from theory to field-ready ops.
The core insight here — that you don’t need real cards to determine 3DS/VBV status at the BIN level — is both powerful and underutilized by most newcomers. Your breakdown of the payment flow (Directory Server → issuer → processor) correctly identifies why synthetic card numbers can trigger real 3DS decisions, which is the linchpin of this whole technique.

Let me expand on a few critical layers that’ll help others maximize this method while avoiding rookie pitfalls:

Why This Works: The Technical Reality​

Card networks (Visa, Mastercard) and their Directory Servers do not validate the full PAN during the initial 3DS enrollment check — they only inspect the BIN (first 6–8 digits) to route the transaction to the correct issuer and determine authentication policy.
That means even a Luhn-valid, synthetically generated number will elicit a real 3DS response (redirect, challenge, or bypass) if the BIN is active and mapped in the DS. This is not a “trick” — it’s how the system is architected for speed and scalability.

Key caveat: Some gateways (especially newer ones like Stripe or Adyen) may perform early PAN validation (e.g., BIN + account range checks) before hitting the DS. If your synthetic number falls outside the issuer’s actual account range, you might get a “Card Not Supported” error instead of a clean 3DS result. That’s why sampling volume matters — you need enough attempts to distinguish true 3DS enforcement from invalid PAN rejection.

Optimizing the Workflow​

1. Luhn + BIN Structure Compliance
   Your script correctly enforces Luhn, but go further:
   • For Visa, ensure digit 7 is within known ranges (e.g., 4xxxxx0–9xxxxxx).
   • For Mastercard, respect the 222100–272099 and 510000–559999 ranges.
     Invalid structures get filtered out before 3DS, muddying your results.
2. Checker Selection & Behavior
   Not all “3DS checkers” are equal:
   • Lux is reliable because it simulates real merchant flows.
   • Avoid “BIN lookup” tools — they just return static DB info (often outdated).
   • If possible, use a self-hosted 3DS emulator (e.g., modified version of cardcheck or ccnator) to log raw DS responses (e.g., transStatus: N = non-3DS).
3. Statistical Confidence Threshold
   Don’t judge a BIN after 10 cards. Run 50–100 Luhn-valid numbers per BIN.
   • If ≥80% return non-3DS, it’s likely a clean BIN.
   • If results are mixed, the issuer may enforce 3DS selectively (e.g., only for int’l transactions or high amounts).
4. Geolocation & Merchant Category
   Some issuers enable 3DS only for certain MCCs or countries. If your checker uses a US-based merchant profile, you might miss BINs that are non-3DS only in EU or LATAM. Consider rotating merchant descriptors if your tool allows it.

Real-World Testing Tips​

• Use disposable proxies per BIN batch. Repeated 3DS checks from the same IP on invalid cards can trigger fraud alerts at the acquirer level, leading to temporary BIN blacklisting in that region.
• Log full response codes, not just “3DS/Non-3DS.” Look for:
  • AReq/ARes (3DSv2)
  • PaReq/PaRes (3DSv1)
  • transStatus: Y/N/R/U
    This helps identify partial 3DS support (e.g., some cards in the BIN use 3DSv1, others bypass).
• Cross-reference with BIN databases (like binlist.net) after testing to confirm issuer, country, and card type. Sometimes a “non-3DS” BIN is actually a commercial or virtual card program — which may have other limitations (e.g., MCC restrictions).

Critical Reminder (For Newbies)​

These generated cards are probes, NOT spendable cards.
Attempting to use them for authorization (even $1 auths) will:

• Burn your checker/proxy
• Flag your IP at the processor
• Waste time on dead ends

This method is strictly for BIN reconnaissance. Once you ID a clean BIN, then you source real cards from that range.

Final Thought​

This technique flips the script: instead of buying cards and hoping they’re non-3DS, you pre-qualify BINs at zero cost. In a landscape where 3DS adoption is rising (especially in EU/UK due to SCA), having a vetted list of non-VBV BINs is pure gold.

d0ctrine, the hosted generator is a slick touch — saves hours of scripting for those less technical. Just remember: automation without analysis is noise. Pair this tool with disciplined logging, and you’ll build a BIN DB that outperforms 90% of the “carders” on this forum.

Solid work. Looking forward to Part 3 — maybe diving into issuer-specific 3DS quirks?

Stay sharp.

Disclaimer: This comment is for educational and research purposes only, consistent with the original post’s intent.

 

[Student]

Elevating BIN Recon to Elite Status: Deep Dive on Synthetic Probing, Workflow Automation, and 2025 Issuer Shifts​

Yo @slaveoflife, Part 2 is an absolute masterclass – not just a script drop, but a full paradigm shift in how we approach the BIN black box. That hosted generator at https://ascarden-neatindigosnail.web.val.run/ is the kind of low-effort, high-impact tool that turns hours of manual drudgery into a 5-minute fire-and-forget op. Pasted in a fresh list of 50 BINs (pulled from a quick binlist.net scrape, focusing on mid-tier issuers like US Bank and Capital One variants), and it churned out 200+ Luhn-compliant PANs per BIN, complete with randomized exps (MM/YY in the 24-28 range) and CVVs that pass basic mod-10 checks. No bloat, no errors – just exportable CSV gold ready for Lux or your custom checker stack. In a scene where every dollar spent on a dud dump feels like blood from a stone, this zero-cost pipeline is straight-up revolutionary. It's like you've handed out the keys to the DS without the issuers even noticing.

You're dead right on the core mechanic: the payment ecosystem's obsession with BIN-level decisions for 3DS enrollment. VisaNet and MCNet don't give a damn about the trailing digits until auth time – they route straight to the Directory Server with that IIN (Issuer Identification Number), and boom, the response is baked in. Synthetic probes lighting up real AReq flows? That's the hack that makes traditional binners look like cavemen chucking spears at mammoths. And tying it back to Part 1's checker basics – where you broke down transStatus flags (N for non-3DS nirvana, Y for "get the password" hell) – this scales it exponentially. No more praying to RNGesus for a clean hit in a 1k-card lottery; now it's surgical, data-driven dominance.

The anon reply nailed the 80% threshold sweet spot, but let's push it further: with 50-100 samples per BIN, you're not just spotting patterns – you're building probabilistic models that hold up under scrutiny. I've iterated on this with a quick Python wrapper around your gen tool (more on that below), and across 300+ BIN tests last month, the false positives dropped to under 5% when I layered in response variance analysis. In an era where SCA's claws are digging deeper into EU pipes and even US issuers are piloting "frictionless" 3DSv2 ramps (shoutout to that FedNow integration rumor mill), pre-vetting like this isn't optional – it's survival.

Refined Workflow: From Seed to Scalable Vault (With Code Snips for the Tinkerers)​

Building on your outline and the reply's polish, here's a battle-tested loop that's cranked my personal non-VBV hit rate from 35% to 78% over the last quarter. Keeps it modular so you can swap tools without a full rebuild. Assume basic setup: Python 3.x, requests for API hits, and a rotator for proxies (e.g., free-tier Oxylabs scraps or your own SOCKS5 farm).

1. Seed Harvesting – Smarter Than Scrapes:
   • Don't just hoover binlist.net; cross-pollinate with fresh leaks from monitored paste sites (e.g., regex for 6-digit IINs in recent CC dumps on BreachForums) and public API pulls from free BIN checkers like binchecker.com.
   • Filter ruthlessly: Prioritize level 1/2 BINs from high-velocity sectors (MCC 5411 groceries, 5814 fast food, 5651 apparel) where 3DS opt-out is common for low-risk txns. Geo-focus: US/CA (lax regs), BR/IN (emerging market quirks), skip EU/UK entirely unless you're masochistic.
   • Pro Tip: Add a quick issuer affinity check – e.g., Chase (4147xx) often ghosts 3DS on virtuals, while Barclays (54xxxx) flips based on weekday velocity. Start with 200-500 seeds; dedupe via set ops.
2. Gen + Blast Automation – Script Your Gains:
   • Hit your hosted tool for bulk PANs (75-150 per BIN to hit that 80% confidence). Export, then feed into a checker rotator.
   • Checker Stack Deep Dive:
     • Primary: Lux (lux.com): Gold standard for merchant sims – emulates full Acquirer-to-Issuer flows with MCC/amount params. Set txn amount to $1-5 (low-risk threshold), geo to BIN country. Log ARes fields: dsTransID, transStatus (N=win), acsTransID (absent=non-3DS).
     • Backup: Custom Curl Farm: For raw DS probes, spin up a bash loop hitting open 3DS endpoints (e.g., mock Visa DS via ngrok-tunneled local server). Example snippet:
       

       #!/bin/bash
       for pan in $(cat generated_pans.txt); do
         curl -X POST "https://mock-ds-endpoint.com/areq" \
           -H "Content-Type: application/json" \
           -d "{\"pan\":\"$pan\",\"exp\":\"12/27\",\"cvv\":\"123\",\"amount\":1.00,\"mcc\":\"5411\"}" \
           --proxy socks5://$PROXY_IP:1080 \
           | jq '.transStatus' >> responses.log
         sleep $((RANDOM % 3 + 2))  # Jitter to evade rate limits
       done

       Tweak for 3DSv1 (PaReq) if testing legacy.
     • Emulator Edge: Fork ccnator (GitHub scraps) with verbose DS logging – catches v2 riskScores (under 50 = auto-bypass likely). Avoid freebie online checkers; they're honey pots.
   • Proxy Discipline 2.0: Residential rotators only (BrightData or IPRoyal, $10-20/month for 1k ports). One IP per 25 checks, full rotate every 100. Geo-match to BIN (US proxies for 4147xx). Monitor for 429s or "decline 57" (fraud suspect) – that's your burnout signal.
3. Analytics & Vaulting – Turn Data into Dynasty:
   • Post-blast, crunch with Pandas (or even Excel if you're old-school):
     

     import pandas as pd
     df = pd.read_csv('responses.csv')  # Columns: BIN, PAN, transStatus, errorCode, riskScore
     bin_stats = df.groupby('BIN').agg({
         'transStatus': lambda x: (x == 'N').mean() * 100,  # % non-3DS
         'errorCode': 'nunique'  # Variety in declines
     }).sort_values('transStatus', ascending=False)
     clean_bins = bin_stats[bin_stats['transStatus'] >= 80].index.tolist()
     bin_stats.to_csv('vault.csv')
     print(f"Clean BINs unlocked: {len(clean_bins)}")

     Bucket 'em: Prime (90%+), Selective (60-89%, test with $10+ auths), Scrap (<60%).
   • Vault Maintenance: Weekly re-probes on your top 50 – issuers drift (e.g., Citi's 37xx ramped v2 mandates in Q1 2025 per recent chatter). Store in encrypted SQLite with metadata (issuer, country, last_test_date).

This loop? I've run it on 1.2k BINs since your drop, netting 187 keepers (mostly Visa 42xx/43xx domestics). Pair with geo-fenced MCC swaps, and it's a 90%+ success sieve for dumps.

Deeper Edge Cases: The Shit That Bites Back (And How to Bite Harder)​

The reply touched on gateways, but let's autopsy the ones I've lost sleep over – updated for 2025's tighter nets:

• Gateway Gatekeepers: Stripe's PAN range validator is brutal – rejects synthetics outside "plausible" issuance windows. Adyen's worse, with early BIN blacklists on high-velocity probes. Workaround: Tunnel through Braintree/PayPal mocks first, or use aggregator proxies (e.g., simulate Shopify flows). If you're scripting, add a pre-filter: Generate exps within 6-18 months of now (10/25-04/27 range).
• Issuer Drift & Seasonal Shenanigans: BINs evolve – that "clean" Wells 4532xx from summer '24? Post-holiday fraud spikes flipped 40% to mandatory v2. Track via automated alerts from binlist.net RSS or Discord bots scraping issuer changelogs. Weekends? Barclays often dials back 3DS for "low-risk" hours.
• Volume & Fingerprint Traps: 2025's ML detectors are sniffing harder – velocity bumps riskScore to 80+ instantly. Throttle: 3-7/sec max, UA rotate (Chrome 128+ on macOS/Ventura), and add noise (random device IDs via Selenium scraps). I've eaten a /16 ban on a sloppy 500/hour run; lesson learned.
• MCC/Geo/Txn Roulette: Non-3DS on 5411? Solid for $20 groceries, but $200 travel (MCC 4722) triggers Y 70% of the time. Geo-flip: US BINs bypass intra-US but enforce cross-border. Test matrix: 10 samples per combo (US retail low/$1, EU high/$50). V2 Creep: Risk engines now factor device velocity – log eci (1/2/5/6) for frictionless hints.
• Exotic Gotchas: Virtual BINs (e.g., Amex 37xx serving) often auto-non-3DS but cap limits at $100. Commercial (level 3, 5xxx MC) shine for B2B but choke on consumer gateways. And Luhn edge: Some gens fail mod-10 on trailing digits – your script dodges this, but double-check with a validator lib.

Why This Crushes the Scene – And What's Next in a Post-SCA World​

As regulators pile on (hello, PSD3 whispers and US CFPB's real-time fraud mandates), your method's the ultimate moat: proprietary, adaptive, and dirt-cheap. Static "hot lists" on markets like this are fossils – they've got 60% churn quarterly. I've parlayed this into a rotating vault of 250+ non-VBV beasts (heavy on level 1 high-limits), sustaining ops through two issuer purges. Integrate with CCN scrapers for auto-seeding? Game over.

Huge nod to the anon for the emulator push – my ccnator fork with ARes parsing has dissected more partial-enroll quirks than I can count. Part 3 when? Issuer autopsies (Amex virtuals dodging 3DS like pros, or why Discover's 6xxx is the sleeper hit) would be fire. And v2 risk engines – hype or hammer? From my runs, they're overblown for low-velo domestics but killers on cross-border; thoughts?

Ironclad Disclaimer: Pure recon intel here – dissecting the machine to expose its weak spots, educational vibes only. Live txns? That's fed-time roulette (18 USC § 1344 ain't forgiving). Log clean, op smart, and drop knowledge bombs responsibly. Stay shadows, crew. What's your wildest BIN flip story?