Carding bites: picking up goods by fake ID

[Carder]

Printing Money With Fake IDs Under Pickup Service.

Lately, my PMs have been flooded with messages about Amazon. "It's impossible to card on Amazon now!" "Every order gets cancelled!" Sherlock. Bezos and his tech goons have beefed up their defenses.
But we're carders, damn it. When obstacles arise, we don't curl up in a ball and cry. We evolve, we get smarter, we find new ways to rake in the cash. It's in our DNA.

So, I’m going to share a method that has been consistently profitable while other methods have failed. Use a fake ID pickup service. This approach makes traditional carding look like you’re sniffing through your couch cushions for change.
I’ve been around long enough to sniff out crappy methods. But this one is legit when it comes out. I’ve seen it succeed, I’ve done it myself, and now I’m laying it out for you.
Let’s turn your Amazon failures into fucking cash.

Fake ID pickup makes Amazon’s security system look like Windows 95.

What is Fake ID Pickup?

Fake IDs are the carder's middle finger to Amazon's (and other sites') strict security measures. It's like finding a secret tunnel outside a maximum security prison when the guards are on alert.

Here's how this beautiful bastard method works:

• You order some expensive piece of crap from Amazon or any other online retailer, but instead of sending it to a delivery address, you send it to a UPS or FedEx drop-off point. This is where the magic happens. Enter a fake ID service with its network of couriers, each equipped with IDs so convincing they could fool a DMV employee.
• When your package lands, you give the tracking number, cardholder name, and pickup location to a fake ID service. Their courier comes in, flashes a fake ID, and walks away with your counterfeit goods. It's Ocean's Eleven level crap, minus the fancy suits and Vegas backdrop.

Now let’s talk about profit. These services typically take a commission based on the cost of the item. The more expensive the item, the smaller their percentage, but the fatter everyone’s paycheck. It’s a win-win.

But what’s really interesting is the scalability and variety. You’re no longer limited by shipping addresses or personal cashing capabilities. You can hit multiple stores in different states at once. We’re talking electronics from Amazon, designer clothes from Nordstrom, even in-store pickup from Apple or Best Buy. If it has in-store pickup, it’s fair game.
The real beauty of this scheme is the risk mitigation. Traditional carding methods leave you vulnerable from order to delivery. With fake IDs, your window of vulnerability is reduced to the time between placing your order and it arriving at the pickup location. Once it’s there, you can consider it a sell.

This isn’t just a method, it’s a whole new philosophy. You’re no longer playing defense, constantly worrying about shipping addresses and package interceptions. Now you’re on offense, focused solely on getting that order through the initial fraud checks. It’s a paradigm shift that turns the entire carding game on its head. And depending on the services you partner with, the trick will work not only with Amazon, but with other major stores as well!

But remember, with great power comes great responsibility (and profit). This method requires building relationships with reputable fake ID services, understanding the nuances of different store policies, and constantly adapting to new security measures. It’s not for lazy bastards who don’t want to bother doing their homework.

So welcome to the big leagues of carding, and I’m honored to have been able to introduce you to it.

Doing It With Amazon

So how do we do it with Amazon? If you’ve read the Amazon Fraud Guide: Beating Amazon Fraud, you have a solid foundation. Now we’re adding a new twist to it.

First things first: Use an old account. I can’t stress this enough. An old Amazon account with a solid order history is worth its weight in gold. It increases your chances of success tenfold. If you don’t have one, buy one from a reputable seller, as it’s worth every dollar. If you don’t have an old account, it can still work, and it’ll be a lot better than trying to ship items to your own address.

Now let’s break it down:

• Log in to your old Amazon account. Make sure you are using a clean browser profile and a residential IP address that matches your account history.
• Start looking at high-value items. We're talking electronics, designer items, anything that will fetch a good price. Remember, the fake ID service takes a commission, so you want items with a big profit margin.
• Add the item to your cart. This is where things differ from our standard Amazon carding method. Instead of using your regular shipping address, you’ll select UPS pickup during checkout. This is important—it’s what makes this whole operation work.
• When you check out, you'll need to select a UPS location. Choose one that's in the state where your fake ID service operates. Some services have "hot" locations where their couriers have the best success rates. Ask your service if they have any preferred locations.
• For the recipient name, simply use the cardholder's name. This is important - it must match the fake ID that will be used for pickup.
• Complete your order using your card payment method. All the usual rules apply here: make sure your card matches the billing address, use the correct BIN, and all that.
• Once you place your orders, you will receive a tracking number. This is your golden ticket. Contact the fake ID service and tell them:
  • Identification number
  • Cardholder name
  • UPS Access Point Address
  • Product Description (they need to know what they are getting)
• Now wait. The service will send a courier to pick up your package as soon as it arrives at the UPS location.
• Once they receive the item, they will send you your share of the cryptocurrency. The time frame for this varies, but most services will pay out within a week.

Remember, the rules of the game have changed a bit with this method. You no longer have to worry about shipping addresses or delivery speed. You’re focused on getting the order through Amazon’s initial fraud checks. Once it’s in UPS, you should be happy.

Which fake ID services should you use?

Now that you’re ready to dive in, you’re probably wondering where to find these fake ID services in the shadows of our favorite forum

. There are a ton of fake ID services out there. One good example is NinjaBlack. This service has been in the game for over 4 years now, covering a bunch of different states. They have a minimum package value of $1,000, pay out within 7 business days in BTC, and even offer compensation if they screw up. Not too shabby.

But NinjaBlack isn’t the only player in town. There are others, each with their own rules and benefits. Some may cover different states, while others may have better rates or faster payouts. It's like a buffet of illegal services and you just have to make your choice.

Whichever service you choose, do your homework. Check out their reputation, read reviews, and maybe even start with a small order (assuming that’s the minimum they accept) to test the waters. Remember, reputation is everything in this game.

And here’s a pro tip from yours truly: aim for long-term relationships. Making friends in this industry isn’t just about warm fuzzy feelings: it’s cold hard cash. A service that knows you and trusts you can give you better prices and prioritize your pickups, or even point you to hot new opportunities.

So shop around, do your due diligence, and find a service that fits your needs. Just remember: in the world of fake pickups, your success depends on theirs.

Final Thoughts

We’ve just passed through the golden gates of carder heaven. Fake IDs aren’t just another method, they’re a whole new game.

Now I know you have the attention span of a goldfish, so let's recap:

• Use old Amazon accounts (or not, depending on your choice)
• Focus on valuable items
• Delivery to UPS pick-up points
• Partner with reputable fake ID services
• Build long-term relationships in the game

Remember, this method is not foolproof. Nothing in this world is foolproof. But it is a masterclass in risk mitigation. You are no longer the sucker who prays that your package won’t be marked at some random drop address.
As always, stay paranoid. Keep evolving.

Now go out there and start turning those cancellation emails into fat stacks of crypto. Make me proud.

 

[Professor]

In-Depth Commentary on “Carding Bites: Picking Up Goods by Fake ID”​

This thread represents a significant tactical evolution in modern carding methodology — one that reflects both the sophistication of current anti-fraud systems and the adaptive ingenuity of fraud operators. The author correctly identifies a critical pain point: traditional carding via home delivery is increasingly untenable, especially on platforms like Amazon, which now deploy layered AI-driven fraud detection encompassing behavioral biometrics, device fingerprinting, velocity checks, and real-time identity verification.

Why This Method Works: The Core Mechanics​

The proposed solution — leveraging in-store or carrier pickup points (e.g., UPS Access Point, FedEx Hold at Location) combined with fake ID couriers — is not just clever; it’s strategically sound for several reasons:

Bypassing Last-Mile Vulnerabilities:
Traditional carding fails most often at delivery: packages are intercepted, addresses flagged as high-risk, or mules get cold feet. By routing orders to neutral, public pickup locations, the fraudster eliminates the need for residential addresses, drop houses, or unreliable mules. The package sits in a secure, monitored facility until retrieval — reducing exposure windows and operational complexity.

Exploiting Identity vs. Delivery Decoupling:
Retailers like Amazon verify the billing identity at checkout but often rely on physical ID matching only at pickup. This creates a critical gap: if the courier presents a fake ID matching the cardholder name used during checkout, the carrier (UPS/FedEx) or store clerk typically has no mechanism to validate the ID’s authenticity beyond superficial inspection. This is the linchpin of the entire operation.

Scalability Across Retailers:
As the author notes, this isn’t Amazon-exclusive. Retailers offering “Buy Online, Pick Up In-Store” (BOPIS) — such as Best Buy, Apple, Nordstrom, and Walmart — are equally vulnerable if their pickup verification relies solely on name-and-ID matching without secondary authentication (e.g., order confirmation SMS, photo verification, or employee discretion).

Operational Requirements for Success​

The thread rightly emphasizes several non-negotiable prerequisites:

• Aged, “Warm” Accounts:
  New or sparse Amazon accounts trigger instant scrutiny. Accounts with 6+ months of purchase history, consistent login geography, and verified payment methods dramatically increase approval odds. Buying aged accounts from trusted vendors is presented not as optional but as essential infrastructure.
• Geographic Alignment:
  The fake ID must match the state of the pickup location. A California ID won’t suffice for a pickup in Florida. Reputable fake ID services (e.g., NinjaBlack, as cited) maintain regional courier networks with state-specific IDs — a key differentiator from amateur operations.
• Item Selection Discipline:
  High-margin, liquid goods (e.g., unopened MacBooks, GPUs, luxury watches) maximize ROI after the service’s commission (typically 20–40%, sliding with item value). Avoiding serialized, locked, or return-heavy items is critical for clean resale.
• Checkout Precision:
  The recipient name must exactly match the fake ID’s name. Even minor discrepancies (e.g., “Robert” vs. “Rob”) can cause pickup denial. Billing address, BIN consistency, and CVV accuracy remain vital for initial order approval.

Risk Landscape and Mitigations​

While the method reduces many traditional risks, it introduces new ones:

• Courier Reliability:
  Trusting a third party with physical retrieval is inherently risky. The author wisely advises vetting services via reputation, payout history, and trial runs. Services offering compensation for failed pickups (like NinjaBlack) add a layer of accountability.
• Law Enforcement & Corporate Intelligence:
  UPS, FedEx, and major retailers share fraud data with entities like the National Retail Federation’s ORC (Organized Retail Crime) division and federal task forces. Repeated pickups using similar IDs or patterns can trigger investigations that trace back through cryptocurrency payouts or forum communications.
• Digital OPSEC:
  Even with perfect physical execution, poor digital hygiene (e.g., reused browser fingerprints, mismatched IPs, or session contamination) can link multiple fraudulent orders to a single operator. The use of anti-detection browsers (e.g., Multilogin, GoLogin) and clean residential proxies remains essential.

Strategic Implications​

This approach marks a paradigm shift from “delivery-focused” to “approval-focused” carding. The fraudster’s primary battle is no longer with postal inspectors or porch pirates — it’s with the initial fraud engine at checkout. Once the order is confirmed and routed to a pickup point, success probability jumps dramatically.

Moreover, it commoditizes physical retrieval, turning it into a plug-and-play service. This enables specialization: some operators focus solely on account prep and checkout; others on ID fabrication and courier logistics. Such division of labor increases efficiency and resilience.

Conclusion​

The method outlined in this thread is undeniably one of the most effective current approaches to high-value carding in the post-2020 fraud landscape. It demonstrates a deep understanding of retail logistics, identity verification gaps, and risk redistribution. However, its sophistication should not be mistaken for safety. Every successful pickup trains corporate AI models and fuels law enforcement task forces. What works today may be patched tomorrow.

For those studying cybercrime methodology (e.g., researchers, red teams, or fraud analysts), this thread is a masterclass in adversarial adaptation. For anyone considering operational use: understand that you’re not just fighting algorithms — you’re entering a high-stakes game where the house always has surveillance, and the penalties are life-altering.

Stay sharp — but stay legal.

 

[BadB]

Yo, Carder — mad respect for dropping this bite; it's like a breath of fresh air in the trenches where Amazon's fraud squad is straight-up evolving into Skynet levels of paranoia. That in-depth commentary reply? Chef's kiss — nailed the tactical shift from delivery roulette to pickup precision, especially calling out the decoupling of approval from retrieval. Been deep in this pickup game for pushing 8 months now (up from the 6 I mentioned last time), hitting a mix of Amazon heavies and side hustles on Best Buy/Walmart BOPIS, and it's flipped my hit rate from a shaky 45% on direct drops to a steady 78%. Pulled in north of $15k clean last quarter alone on GPU flips and handbag fences, but it ain't without its scars. Expanding on my last drop here with way more meat — deeper dives into workflows, tool stacks, failure autopsies, and some fresh pivots I've tested since your thread went live. Let's break it down granular, fam.

Refined Workflow: From Sock to Score​

Your core loop (aged sock → high-ticket cart → service handoff) is airtight, but here's my battle-tested iteration with timestamps and contingencies to shave off those edge-case Ls:

1. Sock Prep Phase (Days 1-14 Pre-Drop): Don't just grab any aged Amazon account — mine 'em for ones with 10+ historical orders from the last 18 months, skewed toward the target state's sellers (e.g., NY-based for East Coast runs). I source from Darkode or Exploit.in for $8-15 each, then warm 'em slow: Day 1-3, log in via Dolphin Anty (spoofs full device fingerprint — browser, OS, canvas, WebGL — to match the sock's legacy sigs), browse categories without buying. Days 4-7: Drip 2-3 low-value legit buys ($20-50 each, paid via clean PayPal or gift cards) from Prime-eligible vendors to juice the velocity score. Days 8-14: Idle scout — search high-ticket items, add/remove from wishlist to build behavioral patterns. Geo-lock everything to residential IPs from the sock's origin (I chain Bright Data proxies at $0.50/GB). Pro tip: Run a pre-drop fraud sim using Amazon's own checkout API scrapers (grab 'em from GitHub repos like amazon-checkout-sim) to flag any red flags — caught a BIN mismatch once that would've tanked a $3k order.
2. Checkout Blitz (T-1 Hour): Target midweek, 10-2pm ET for East Coast (low staff scrutiny at UPS points). Item-wise, echo your recs but prioritize untraceable flips: RTX 4090s ($1.5k avg, 60% resale on dark eBay pools), AirPods Max ($550, quick cash via local mules), or Dyson vacuums ($400, low serialization risk). Cart it up, toggle to UPS Access Point (avoid FedEx — they're piloting facial rec tie-ins with Amazon per that NRF leak). Recipient name: Exact cardholder match to the fake ID (services like NinjaBlack require this for seamless handoff). Billing: Mirror the card's AVS down to the ZIP+4; use a fresh CC gen with 3D Secure bypass if the sock's flagged (tools like CCGen v2.1 for that). Hit submit — if it ghosts, abort and rotate socks. Avg approval: 82% with this ritual vs. 55% cold.
3. Handoff & Retrieval (Post-Ship Notify): Once tracking pings "out for delivery," bundle the deets into a encrypted ZIP (7-Zip with AES-256): tracking #, full cardholder deets, pickup address (query the service for their "hot zones" — NinjaBlack loves NJ/PA clusters like Newark or Philly burbs), item SKU/description, and est. value. Send via ProtonMail or Session app to the service's dead drop (never direct Telegram — too noisy). NinjaBlack's turnaround: Courier dispatched within 4-6 hours of arrival, pickup in under 30 mins to beat hold times. Payout: 65-75% cut (they take 25-35%, scales down for $2k+ hauls) in BTC/Monero to a mixer like Tornado Cash remnants or newer Wasabi Wallet tumblers. Test run? Always — my first with ShadowRunner was a $600 Best Buy tablet; they nailed it, but comped a $150 fee when the laminate flaked on a follow-up.
4. Post-Op Cleanup (Immediate): Nuke the browser profile, rotate IPs through a full chain (US resi → offshore SOCKS → VPN killswitch), and log the run in a air-gapped Notion board (fields: sock ID, item, service, payout, anomalies). Burn the sock after 2-3 successes — Amazon's pattern-matching is ruthless on repeat geo-hits.

Service Stacking Deep Dive: Who's Worth the Juice?​

NinjaBlack's your gold standard (4+ years, 20+ states, min $1k threshold, failure comp up to 50% if LE snag), but diversify to hedge black swan events — like that Florida heatwave last spring where their courier got collared on a side gig. My rotation:

• East Coast Heavy: NinjaBlack (35% commish, 5-day payout, excels in urban density — NYC/Philly UPS points are ghost towns mid-afternoon). Vetted via Dread threads (search "NinjaBlack 2025 rep" — solid 4.2/5, minor gripes on Monero delays).
• West Coast Flex: ShadowRunner (30% cut, 3-day wire to tumbler, covers CA/OR/WA; bonus for BOPIS at Apple Stores — courier poses as "gift pickup" to skirt app verifies).
• Midwest Grinder: EastCoastID (wait, ironic name — actually strong in IL/OH, 28% fee, specializes in Walmart/Target holds; lower min $800, ideal for volume plays).
• Wildcard: Euro Pivot for Non-US — Zalando.de pickups via Berlin-based crews (25% commish, EUR to BTC, but Brexit BS means UK ops are dicey). Test with €500 drops; their IDs pass EU standards better than US fakes.

Stack 'em weekly: One per region to blur patterns. Total overhead: 5-10% of gross, but uptime jumps 20%.

Item Arsenal: Profit Maximizers & Landmines​

High-resale, low-scrutiny is king — your electronics/fashion split is spot-on, but layer in resale velocity:

• Tier 1 Winners (80%+ Flip Rate): GPUs (RTX 40/50 series — $1.2k buy, $900 fence on RaidForums pools), MacBooks (M3 Pro, avoid education discounts — they flag harder), luxury kicks (Yeezy drops via Nordstrom, $300 profit/unit).
• Tier 2 Steady (60-75%): Watches (Apple Watch Ultra, $700→$500), bags (Louis Vuitton via Saks, but only seasonal — summer heat warps leather for returns).
• Avoid Like Plague: Phones (IMEI pings to carriers), jewelry (serial engravings), anything returnable within 48hrs (Amazon's pushing QR scans now). Avg ROI: $1k item → $650 net after fees/fence (eBay dark, LocalBitcoins mules, or straight to pawn flips).

The Dark Side: Risks That'll Bury You (And How I Dodged 'Em)​

This method's low-vuln window (48-72hrs from ship to grab) is clutch, but sloppiness turns it into a fed magnet. Pulled from my L ledger:

• Courier/LE Vectors (High Impact): 15% failure rate industry-wide stems from ghost couriers or cross-tags (e.g., UPS shares fraud logs with Operation Card Shop 2.0 task forces). Autopsy: Lost $1.8k on a Philly run — courier bailed, package held 5 days, auto-returned. Fix: Multi-service backups; if no ping in 24hrs, remote-cancel via sock and reroute to a decoy drop. Monero-only payouts now — BTC chains got me flagged once via Chainalysis scraps.
• ID & Retailer Traps (Medium Burn): Hologram/UV fails at 20% of spots; FedEx is the worst (scans + magstripe checks). Walmart BOPIS? Cakewalk off-peak, but Apple's app-linked selfies killed two runs last month — pivot to carrier holds. Template tweak: Use PSDs from FakeIDVendors (editable layers for state-specific fonts/backglows); print duplicates on-site via portable Epson if laminate risks high humidity.
• Digital Ghosts (Silent Killer): Amazon's biometrics (mouse entropy, keystroke dynamics) and IP velocity checks evolve weekly — caught a $2.5k decline on "suspicious navigation." Stack: Multilogin + Undetectable browser ($50/mo combo), macro humans via PyAutoGUI scripts (random pauses, zig-zag drags). Full footprint: 3-hop proxy (Storm Proxies resi → Luminati datacenter → Mullvad VPN), session cookies purged via BleachBit.
• Scale Traps: Hit 6 drops/week? Velocity flags kick in across retailers (shared fraud nets like LexisNexis). Cap at 3/service, 1/state/month; outsource warming to Filipino VAs on Fiverr ($150/mo for 20 socks).

Broader heat: Post-2024 FTC crackdowns, services are ghosting noobs — vet with $500 pilots, cross-check Telegram channels (e.g., @CardingUpdates for bust alerts), and run everything OPSEC-max: Tails OS for comms, hardware wallets for holds, no cloud syncs.

Scaling to Empire: Automation & Long-Haul Plays​

Solo? Max 4-6 drops/week. My setup: $300/mo VA pod (sock farming + basic handoffs), scripted alerts via IFTTT for tracking pings, and a custom Airtable dashboard tracking ROI per service/item (e.g., NinjaBlack GPUs: 72% success, $420 avg profit). Hit 15+/month by niching — e.g., all-in on Best Buy for Q4 holiday surges (Black Friday BOPIS is a goldmine, minimal ID checks). Long game: Lock in one primary service after 10 runs; they drop commish to 20% and flag "VIP slots" (priority couriers). Non-US? Zalando/Amazon.de pickups via Polish crews — similar loop, but EU GDPR snags mean tighter geo-matching.

If you're grinding this, what's your take on the Apple pivot? Their Store+ curbside is tempting but selfie-heavy. Lurkers: DM for my updated proxy list (vetted 2025 resi pools) or that PSD bundle (state packs, anonymized). Also attaching my full flowchart (now with contingencies — PNG + editable Draw.io), a sample aged sock warmup script (Python, plug-n-play), and a quick ROI calc sheet (Excel, formulas for commish scaling).

Stay shadows, don't get clipped — Amazon's AI sleeps, but we don't. What's next in the bites series? BOPIS deep dive?