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6 Types of Credit Card Fraud & How Businesses Can Stop Them

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Fraudsters, scammers, and cybercriminals are almost always in it for the money. That’s why credit card fraud is so popular; it’s one of the easiest ways to steal other people’s money. According to the Nilson Report, worldwide payment card fraud totalled $33.41 billion in 2024. 

But the risk of credit card fraud doesn’t just lie with consumers. In fact, the laws of most countries protect consumers quite well against this type of fraud. Businesses, on the other hand, aren’t as well protected. If they don’t adequately protect themselves against credit card fraud, they risk suffering serious financial and reputational damage.

Types of credit card fraud that businesses are at risk of:

  1. Credit card skimming
  2. Identity theft
  3. Account takeover fraud
  4. Phishing
  5. CNP fraud
  6. Card cracking fraud

Key takeaways

  • Statista predicts that the value of fraudulent credit card transactions worldwide will reach $38.5 billion in 2027, underscoring the global impact of the issue.
  • Credit card fraud threats are evolving, with fraudsters shifting to AI-driven automation for card cracking (guessing missing card details) and carding (testing stolen cards).
  • As traditional fraud detection often fails against these sophisticated attacks, businesses increasingly need intent-based detection to stop the threats posed by agentic AI.

What puts a business at risk of credit card fraud & what are the impacts?

By far, the primary source of credit card fraud is card-not-present (CNP) fraud. On average, 75% of the value of all card fraud comes from CNP fraud, as opposed to card-present fraud. If you sell your goods or services online, you’re at risk of credit card fraud.

Other factors that put you at a high risk of credit card fraud are a lack of security measures and poor employee training. Fraudsters are always looking for easy targets. Not having the right security measures (e.g. data encryption in transit and at rest) and having poorly trained frontline or IT security employees make you an easy target for credit card fraud.

The impact of credit card fraud can be severe. There’s the financial loss of the chargeback, plus chargeback fees inevitably coming your way, as well as the reputational loss that comes with credit card fraud. Even if it isn’t your fault, customers are unlikely to shop again at the place where they were defrauded.

Types of credit card fraud & how to prevent them

The first step for reducing your risk of credit card fraud is understanding the different types of credit card fraud that businesses are at risk of. While this is by no means a comprehensive list, it covers the types of fraud most dangerous to your business.

1. Credit card skimming

Credit card skimming is one of the few card-present types of fraud on this list. It involves the use of a physical device, called a skimmer, that is placed on top of ATMs, gas pumps, and other card readers to capture both someone’s credit card information and their PIN. Skimmers are hard to detect because they’re designed to blend in perfectly with the card reader itself.

How to prevent credit card skimming

Credit card skimming is not a direct threat to your business because it steals credit card information and doesn’t actually commit payment fraud with already stolen credit card information. Still, you can suffer severe reputational damage if a customer ever discovers a skimmer on a card reader nearby or inside your business.

That’s why you should regularly check card readers for any signs of tampering. This is easier when you use secure card readers with tamper-evident seals and encryption, and when you secure your business perimeter, such as by installing security cameras, for example.

2. Identity theft

Identity theft, sometimes also called application fraud, is a roundabout type of credit card theft where a fraudster uses someone’s personal information to open a new credit card account and make purchases in their name. The victim may only become aware of this type of theft when they check their credit rating or receive bills for purchases they didn’t make.

How to prevent identity theft

Identity theft is an extremely difficult type of credit card fraud to stop. If the fraudster opened a credit card account in someone else’s name, they already managed to trick the credit card issuer into believing they’re someone else.

You can stop identity theft by only allowing customers to purchase your goods or services through verified accounts. During your identity verification process, you can cross-reference identity data with public databases to reveal inconsistencies between the person who’s opening an account and the documentation they’re providing.

3. Account takeover (ATO) fraud

Account takeover fraud is a type of credit card fraud where a fraudster breaks into someone else’s account and uses that account to purchase goods or services with either the credit card attached to the account or new, stolen credit card information. Fraudsters often change account details, such as email address and phone number, to make it harder for the victim to detect this type of fraud.

How to prevent account takeover fraud

Account takeover fraud is much easier to prevent than identity theft because fraudsters almost exclusively rely on automation to break into people’s accounts. This means that good fraud prevention software can detect and stop a fraudster’s bots before they even have a chance to land on your website or mobile app.

Still, it’s a good practice to keep an eye on suspicious transaction activities that may indicate credit card fraud, such as many small purchases or a single large purchase that’s out of the ordinary for a particular customer. When you notice these patterns, ask the customer for more identification, for example by sending a security code to their phone or email address.

4. Phishing

Phishing is a type of online scam where fraudsters send you fake emails or messages, pretending to be from legitimate organizations and encouraging you to give away sensitive personal information—including your credit card details. These messages often contain links to legitimate-looking websites, asking people to go through a fake payment process.

How to prevent phishing

While phishing is a type of fraud that exclusively targets consumers, you don’t want scammers to impersonate your business. That’s why you should regularly remind your customers never to engage with messages or click on links that do not come from your official communication channels. You should also remind them that you will never ask for sensitive information using insecure channels.

The same goes for your employees. It’s not unusual for scammers to email your employees pretending to be the CEO or a C-level executive in your business, asking for important information. Tighten your spam filters and educate your employees so they always double-check before they reply to such suspicious emails.

5. CNP fraud

Card-not-present fraud is the umbrella term for all types of credit card fraud where fraudsters make a purchase without having the physical credit card in their possession. It’s easily the most common type of credit card fraud, because it’s a very safe line of attack for the fraudster. They can mostly stay anonymous and, unfortunately, almost never get caught.

How to prevent CNP fraud

Similar to account takeover fraud, CNP fraud tends to rely on automation. After all, time is money and manually figuring out which businesses are vulnerable to CNP fraud would take too much time. So fraudsters use bots and automated scripts. You can protect yourself against these with the right payment fraud prevention software.

Other ways to tighten your security against CNP fraud include implementing payment security measures such as multi-factor authentication (MFA) or asking for additional identity verification or card verification values (CVV). This will often stop bots dead in their tracks.

6. Card cracking & carding fraud

When fraudsters obtain stolen credit card information, they often use bots to validate it. This results in two kinds of credit card fraud:

  • Card cracking: A brute-force attack where bots “guess” missing values (like expiration dates or CVVs) for partial card data by rapidly testing different combinations.
  • Carding: An automated attack where bots test complete stolen card details on your checkout to see if they are active before selling them or using them for larger purchases.

Scentbird, a perfume subscription service, was dealing with a large number of carding fraud attacks and turned to DataDome to improve security.

“In e-commerce, the number of fraudulent orders and cyberattacks have gone up like crazy since the pandemic, and it’s impossible to ignore bot threats. … With the swipe of a card, [fraudsters] have a pretty large botnet, and that’s scary. We have to be prepared for that,” said Andrei Rebrov, CTO & co-founder of Scentbird.

Since implementing DataDome, Scentbird has significantly reduced the number of attacks they deal with on a daily basis, allowing them to shift their attention from preventing carding fraud back to business-related activities.

How to prevent card cracking & carding fraud

Because a carding attack inevitably requires automation, fraud prevention software is once again the most cost-effective way to deal with this type of fraud. A fraudster’s bots won’t even gain access to your website or mobile app with the right preventative software, let alone find their way to your payment platform.

Of course, you should also tighten the security of your payment platform, so a customer only has a few tries to make a payment before a transaction attempt is flagged as suspicious. You should also implement the security measures described previously, such as MFA and asking for CVVs.

Common ways to detect credit card fraud

Because so much of credit card fraud relies on automation, the best method for credit card fraud prevention is through fraud detection and prevention software. This type of software can pinpoint automated requests by looking at its fingerprints and behavioral patterns, and will block any automated request that isn’t allowed.

Modern fraud isn’t just about simple scripts anymore. Fraudsters are increasingly using AI agents that can reason and adapt to bypass traditional defenses, increasing the need for the an advanced fraud prevention software.

Other ways to detect credit card fraud include monitoring for suspicious transaction activity and tracking your chargeback rate. The number of chargebacks divided by the volume of transactions should be kept below 1%. If it’s above that threshold, you’ll want to look into better credit card fraud protection.

Credit card fraud protection with DataDome

DataDome is fraud prevention software that stops all automation tied to credit card fraud and other types of fraud. It uses a machine-learning engine that processes five trillion signals a day to identify both known and unknown bot threats, and it blocks those threats for your websites, mobile apps, and APIs in less than two milliseconds.

DataDome is extremely lightweight and takes only minutes to install within your existing tech architecture. It adds no latency to wherever you install it and it is compliant with global privacy data laws. If you’re curious to learn more, you can either start a free 30-day trial today or schedule a live product demo to see how it works.

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Credit card fraud FAQs

What is the most common type of credit card fraud?

Card-not-present (CNP) fraud is the most common type of credit card fraud, accounting for roughly 75% of fraud value. It occurs when a criminal uses stolen card details to make a purchase online or over the phone without the physical card.

What is the difference between carding and card cracking?

Card cracking involves using bots to guess missing information (like an expiry date) for a card number. Carding involves testing complete stolen card details to verify they are active. Both are automated attacks that target payment gateways.

Can CAPTCHAs stop credit card fraud?

Traditional CAPTCHAs are no longer effective against modern credit card fraud. Sophisticated bots and “solver farms” can bypass CAPTCHAs easily. An invisible, behavioral-based solution is required to stop these attacks without hurting user experience.

Why do rules-based systems fail against modern credit card fraud?

Simple rules (like “block IP after 5 failed attempts”) fail because modern bots rotate through thousands of residential IPs to mimic distinct users. Each request looks “clean” in isolation, so only AI that analyzes behavioral intent across trillions of signals can detect the pattern.

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