What Exactly is ‘Clean Fraud’ and Why Should Merchants Be Urgently Concerned?

‘Clean fraud’ is a highly sophisticated and fast-growing threat for merchants, especially in e-commerce. Unlike more traditional fraud, it uses genuine or convincingly fabricated customer data to make transactions appear entirely legitimate. The term ‘clean’ refers to the absence of typical red flags, which allows these transactions to bypass standard fraud detection tools.

Imagine a fraudster with access not only to a stolen credit card number but also the real billing address, phone number, and IP address of their victim. They begin with small, routine purchases to avoid suspicion, gradually increasing order values. Because this mimics normal shopping behaviour, detection tools often miss it, leaving merchants exposed until the fraud is uncovered through chargebacks or customer disputes. It’s important to note that clean fraud also includes first-party fraud, such as friendly fraud or return fraud, where actual customers exploit systems for personal gain. These cases are difficult to detect at the point of sale because everything about the transaction appears legitimate.

For businesses, the consequences are serious: lost revenue, rising chargebacks, and damage to customer trust. As this type of fraud evolves, addressing it must become a priority for any business operating online.

How Does Clean Fraud Manifest Across the Retail Landscape?

In the UK, clean fraud is surfacing in increasingly deceptive ways. One of the most common is account takeover (ATO), where criminals access a real customer’s account and place orders using saved payment details. Because everything matches up – name, card, and order history -the transaction sails through undetected.

Then there’s friendly fraud, where a customer makes a purchase, receives the item, and later disputes the charge to get a refund. While sometimes driven by genuine confusion, more often it’s deliberate. Cifas (the UK fraud prevention organisation) and UK Finance have both highlighted a rise in this behaviour, particularly post-pandemic as consumers become more aware of chargeback protections.

Return fraud is another challenge: this might involve returning used or counterfeit items or falsely claiming an item didn’t arrive. All these methods are hard to detect without proactive systems in place.

The key takeaway? Clean fraud doesn’t look like fraud. It blends in with real customer behaviour, making both traditional fraud filters and manual reviews ineffective.

What is the Current, Evolving Impact of Clean Fraud on Businesses?

The cost of clean fraud to merchants is significant, and it’s growing fast. Although clean fraud is hard to measure due to its subtlety, overall fraud and chargeback volumes provide insight. UK Finance’s latest data shows card fraud and Authorised Push Payment scams (APPs) remain stubbornly high, suggesting that deceptive practices are still thriving.

Beyond immediate losses, merchants face rising operational costs. Fraud analysts, customer support, and legal teams are increasingly pulled into managing disputes. There’s also reputational damage. Frequent fraud-related issues can drive customers away, particularly if account security appears weak.

In addition to this, frequent chargebacks can lead to penalties or account suspensions from payment providers, especially if the merchant exceeds acceptable thresholds.

Clean fraud also drains internal resources. Staff fatigue, dispute backlogs, and increased pressure on customer service teams are common side effects. For many businesses, it’s not just a financial burden, it’s also an operational one.

How Can Merchants Effectively Build Defences Against Clean Fraud?

A strong defence against clean fraud blends people, process, and technology. Here are the key things to consider in order to detect suspicious activity early, reduce false positives, and protect both revenue and customer relationships without adding unnecessary friction.

• Strengthen Identity Verification – Implementing multi-factor authentication (MFA) for account logins, large purchases, or delivery address changes helps stop unauthorised access. Adding even just one extra layer -like a mobile confirmation – can drastically reduce attempts of account takeover
• Use Behaviour Analytics – AI-driven fraud systems monitor how users interact with a site – even mouse movements, typing speed, and device behaviour. For example, if a user suddenly logs in from a new device or location and checks out faster than usual, the system can flag or block the transaction in real time.
• Improve Data Validation – Verify key data points with third-party sources. Phone numbers, IP addresses, device fingerprints, and email history can all be cross-checked to highlight suspicious patterns. Don’t rely on one indicator, rather look for a combination of subtle inconsistencies.
• Strengthen Chargeback Responses – When clean fraud leads to a chargeback, merchants need airtight evidence. This includes IP logs, delivery confirmations, communication history, and proof the buyer used the item (for example, login data for a digital service). Organised documentation significantly improves win rates.
• Train Staff and Educate Customers – Internal training helps teams spot suspicious activity early. Similarly, guiding customers on best practices, like setting strong passwords and reporting unauthorised activity, can reduce fraud risk and reinforce shared accountability.

What Strategic Technological Tools Are Pivotal in the Fight Against Clean Fraud?

Several tools are proving highly effective in detecting and preventing clean fraud:

• Behavioural biometrics – identify users based on unique actions like typing speed or device handling, making impersonation difficult.
• Device fingerprinting – track patterns tied to a specific device or browser. If multiple accounts suddenly use the same device, that’s a red flag.
• Real-time geolocation analysis – alert merchants when a user is logging in from an unexpected location, especially when it doesn’t match previous patterns.
• AI and machine learning – these are essential for spotting evolving fraud patterns across thousands of transactions. Unlike static rules-based systems, AI adapts in real time.
• Advanced payment gateways – these now include fraud modules with configurable risk scoring, automated blocks, and access to shared fraud data across merchant networks.

Together, these technologies allow businesses to detect clean fraud at scale, before it impacts revenue or customer trust.

What Does the Future Hold for Clean Fraud Prevention?

As fraudsters grow more advanced, the tools and strategies to fight them must evolve too. The UK’s Economic Crime and Corporate Transparency Act (ECCTA), which began rolling out in 2024 and imposes full compliance by September 2025, is already reshaping how larger businesses approach fraud. It pushes companies to take proactive fraud prevention steps, and if not, face consequences.

At the same time, generative AI and deepfake tools are creating synthetic identities, fake documents, and voice impersonations. Traditional verification steps won’t be enough to catch these threats. Instead, businesses will need real-time authentication tools capable of recognising AI-generated content and behaviour anomalies.

The continued development of Open Banking brings additional risk and reward. Faster payments and account-level data access do improve the customer experience, but they also create new entry points for fraud. Businesses will need to monitor these systems carefully and adapt policies as the threat landscape evolves.

Going forward, collaboration will be critical. Intelligence sharing between merchants, banks, law enforcement, and industry bodies like Cifas and UK Finance will help identify emerging patterns quickly. Merchant consortiums that share fraud data already see fewer successful attacks, thanks to pooled insights.

What will it Take to Stay Ahead?

Clean fraud is deceptive by design, and its subtlety makes it harder to fight than more obvious scams. But merchants are far from powerless. By investing in advanced detection tools, tightening internal processes, and aligning with industry best practices, businesses can protect themselves and their customers. In the long term, the companies that survive and thrive in this environment won’t be the ones with the most rigid systems, but those with the most agile ones; the ones constantly adapting, evolving, and staying ahead of a smarter, more resourceful threat.