opinion

How Layered Fraud Controls Can Stop Card Testing Before Chargebacks Hit

How Layered Fraud Controls Can Stop Card Testing Before Chargebacks Hit

You suddenly have 400 new $1 trial signups. Sales are up, the approval rate looks great and, at first glance, the numbers seem worth celebrating.

Then, a month or two later, the chargebacks start rolling in. Cardholders begin disputing transactions they never made. Your chargeback ratio jumps, processing costs rise and your account starts receiving the kind of attention no high-risk merchant wants.

Passing one check does not make a transaction legitimate. A fraudster may have a stolen card number and billing address but not the CVV. Another may possess all three pieces of information but trigger a velocity rule after attempting dozens of transactions from the same device. Fraudsters generally seek the easiest checkout to exploit. Each additional layer makes fraudulent transactions harder to complete and the merchant less attractive to attack.

That’s because those 400 signups were never genuine customers; they were part of a card-testing attack. Fraud tools are designed to catch this activity before it becomes a chargeback problem, but no single filter catches everything. Address Verification Service (AVS), Card Verification Value (CVV), 3-D Secure and velocity checks each examine a different part of the transaction, so the strongest defense uses them together.

Here is how each layer works, where it falls short and how to combine them without turning away legitimate customers.

Why One Fraud Tool is Never Enough

Fraud prevention works best in layers because each tool answers a different question:

  • AVS: Does the billing address match the issuer's records?
  • CVV: Does the buyer have the security code printed on the card?
  • 3-D Secure: Can the buyer authenticate the transaction with the issuing bank?
  • Velocity checks: Does the activity surrounding the transaction look normal?

Passing one check does not make a transaction legitimate. A fraudster may have a stolen card number and billing address but not the CVV. Another may possess all three pieces of information but trigger a velocity rule after attempting dozens of transactions from the same device. Fraudsters generally seek the easiest checkout to exploit. Each additional layer makes fraudulent transactions harder to complete and the merchant less attractive to attack.

AVS: Does the Address Match?

AVS compares the billing information entered during checkout with the cardholder information held by the issuing bank. It typically checks the numeric portion of the street address and the ZIP or postal code, then returns a response indicating a full match, partial match, no match or unavailable result.

An AVS mismatch deserves a closer look, but do not decline a transaction based on that result alone. The customer may have moved recently, entered an old billing address or used a prepaid card. International cards can also return incomplete or inconsistent responses, so weigh the AVS result alongside the other information available.

CVV: Is the Card In Their Hands?

CVV is the security code on a payment card, usually a three-digit number on the back or, for American Express cards, a four-digit number on the front. It is particularly useful for card-not-present transactions because PCI DSS prohibits merchants from storing CVV data after authorization. Criminals who obtain card numbers and expiration dates from a compromised database may not have the code needed to complete checkout. Although phishing, physical theft and other forms of credential theft can expose it, requiring CVV can still stop some fraudulent attempts before they reach the next layer.

3-D Secure: Can They Prove It's Them?

3-D Secure, commonly called 3DS2, allows the issuing bank to evaluate the buyer and transaction. Many purchases pass through without additional steps, while higher-risk activity may trigger a one-time code or banking-app confirmation. One reason to use 3-D Secure is that it can put liability for certain fraud-related chargebacks on the card issuer. Do not assume you will receive that protection, though. It depends on how your account is classified, and some high-risk codes, including MCC 5967, are excluded. Your processor can tell you where your account stands.

Here's the tradeoff: 3-D Secure can slow down checkout. If the bank asks for a code or app approval, some customers will simply abandon the purchase. In Europe, you may not have a choice because Strong Customer Authentication rules often require that extra step. In the U.S., it usually makes more sense to rely on AVS, CVV and velocity checks instead, since 3-D Secure isn't required and many cards aren't enrolled.

Velocity Checks: Is This Normal Behavior?

Velocity checks examine how often an activity occurs rather than judging an isolated transaction. Merchants can limit attempts from one card, transactions from one IP address, signups from the same device, accounts created with one email address, or repeated failed payments.

These controls are especially effective against card testing. Criminals use automated tools to test lists of stolen payment credentials, often through inexpensive products, subscriptions, donations or trial offers.

That makes adult and other high-risk merchants with low-dollar introductory offers attractive targets. One $1 signup may look harmless, but hundreds of rapid attempts from the same device or IP address tell a different story.

Building a Layered Fraud Defense

Putting these tools into practice starts with enabling AVS and CVV for every card-not-present purchase, then confirming how your gateway responds to the results. Some gateways flag and record mismatches without automatically declining the sale. Not every mismatch warrants the same response. An incorrect CVV may justify an immediate decline, while a partial address match is less definitive. Legitimate customers may mistype information, move without updating their records or enter an address that differs slightly from the one on file.

The next step is tailoring 3-D Secure and velocity rules to your customers and business model. A subscription business may need to monitor repeated attempts on the same card, while several trial accounts created from one device or IP address may signal an attack. Customer location should also guide the use of 3-D Secure, while CAPTCHA and email verification can create additional barriers for card testers. Review fraud and decline data regularly to identify legitimate customers being blocked, attacks slipping through and changes in fraud patterns. The goal is to stop fraudulent purchases without unnecessarily rejecting good customers.

What Fraud Tools Won't Stop

AVS, CVV, 3-D Secure and velocity checks can identify unauthorized or suspicious transactions, but they cannot prevent every chargeback. Friendly fraud occurs when a legitimate cardholder makes a purchase and later disputes it. The customer may not recognize the billing descriptor, forget about a subscription or find it easier to dispute the charge than to contact the merchant.

Recognizable billing descriptors, accessible cancellation options and chargeback alerts can reduce that risk by giving merchants a chance to resolve eligible disputes before they are finalized. For high-risk merchants, preventing fraudulent transactions and managing the disputes that still arise are equally important parts of protecting an account.

Build for Your Risk

Do not copy another merchant's fraud settings and assume they will work for you. A site built around $1 trials will attract different attacks than a store selling expensive products, so the same rules could miss obvious fraud on one site and reject good customers on the other.

Stack the tools, watch the numbers and revisit your settings often. If signups suddenly explode, wait before uncorking the champagne. Make sure you are looking at real customers, not a card tester handing you a pile of next month's chargebacks.

Copyright © 2026 Adnet Media. All Rights Reserved. XBIZ is a trademark of Adnet Media.
Reproduction in whole or in part in any form or medium without express written permission is prohibited.

More Articles

profile

BranditScan's Aerie Saunders on Fostering Creator Knowledge, Confidence and Community

Aerie Saunders is firmly in her season. When she sits down with XBIZ, a fall-scented WoodWick candle burns in the background, pumpkins decorate her desk and the first signs of spooky season are already on display. Not that Saunders waits until autumn to embrace the macabre.

Jackie Backman ·
opinion

What Mastercard's Scam Monitoring Program Means for Adult Merchants

Mastercard's Scam Merchant Monitoring Program (SMMP) has introduced a new, investigation-led framework that works very differently from the ratio-based chargeback programs the industry has relied on for years. It applies to card-not-present merchants globally, and Mastercard's guidance on business models warranting closer attention includes adult content and dating platforms, along with subscription services, digital goods and forex.

Len Garcia ·
opinion

Why the Right Merchant Category Code Matters for NSFW AI Businesses

You explained exactly what your NSFW AI business does to your payment processor and they seemed to get it. The underwriting process felt thorough and exhausting, but it was well worth it because you began processing.

Jonathan Corona ·
opinion

How Local Payments Can Expand Access and Reduce Friction at Checkout

Global adult platforms often enter new markets with a familiar assumption: If their checkout accepts major cards, they're ready for local customers. In reality, payment habits vary widely by country. Dutch consumers use iDEAL for online shopping, BLIK is a leading e-commerce payment method in Poland, and India's UPI handles billions of transactions each month.

Mitch Platt ·
opinion

How Detailed Receipts Build Consumer Trust and Reduce Chargeback

When was the last time you bought something online? Chances are you looked for the confirmation almost immediately. Did the transaction go through? Does it show what you bought? Were you charged correctly? And if there's a problem, who can you contact?

Cathy Beardsley ·
opinion

What Adult Platforms Should Know About the EU AI Act

The European Union's Artificial Intelligence Act is now largely in force, creating new obligations for adult platforms using AI for content creation, performer verification, age estimation, moderation and other functions.

Corey Silverstein ·
profile

Verifymy's Emma Robert-Tissot on Putting People at the Heart of Online Safety

Warm, friendly and always happy to help, Emma Robert-Tissot has a gift for making even the most complex corners of online safety feel approachable.

Jackie Backman ·
profile

YourVids' Gino on Listening, Learning and Putting Creators First

Get Gino talking about the work creators pour into their careers, and his passion quickly becomes contagious. He deeply appreciates the people powering the business and has firm ideas about what they deserve in return.

Jackie Backman ·
profile

Vendo CEO Mitch Platt Reflects on 20 Years of Lessons and Evolution

More than 20 years ago, three entrepreneurs in Barcelona began gathering over beers to pitch, dissect and routinely destroy one another's business ideas. The ritual was simple: One person arrived with a concept, while the other two tried to expose every weakness. Any proposal that survived earned another look. Most did not.

Jackie Backman ·
opinion

How to Avoid the Hidden Risks of AI-Generated Legal Documents

Artificial intelligence can write a contract in seconds, but that does not mean it can write the contract your business actually needs. Across the adult industry, operators, creators and producers are increasingly using generative AI to prepare model releases, performer agreements, privacy policies, takedown notices, employment documents and responses to regulators. The appeal is obvious: Legal work is expensive, AI is fast and the resulting document often looks impressively professional. That polished appearance is exactly what makes the practice dangerous.

Corey Silverstein ·
Show More