Afterpay Addresses Emerging Fraud Challenge in Fintech Sector

At a recent fintech conference, Yuliya Kazakevich of Block's Cash App exposed a growing scam involving fake merchants and phantom shoppers exploiting Buy Now, Pay Later (BNPL) services, highlighting the need for enhanced fraud detection mechanisms. As BNPL options expand to cover more substantial purchases, from concert tickets to medical procedures, the risk and allure for fraudsters increase, necessitating a more dynamic approach to risk management within the fintech ecosystem.

Chris Wilson

November 10, 2025

In the shadowy corners of the fintech world, a new-old scam is doing rounds, giving the Buy Now, Pay Later (BNPL) services a migraine-sized headache. Yuliya Kazakevich, the global head of merchant risk for Block's Cash App, recently peeled back the curtain on an emerging fraud dynamic at a fintech conference in Las Vegas. Here, fake merchants and phantom shoppers collude to swindle BNPL services like Afterpay, a scenario that could be ripped straight from a con artist's handbook.

The mechanics of the scam are as follows: merchants sign up for a BNPL service and then coordinate with accomplices who pose as consumers. These consumers make purchases that will never be paid for, leaving Afterpay to foot the bill. This "self-pay" fraud, although not new, has evolved with the fintech landscape to exploit the swift, transactional nature of BNPL services. Given the digital velocity at which these services operate, they present an attractive target for fraudsters eager to exploit any delay in verification processes.

With BNPL being adapted rapidly for bigger-ticket purchases like concert tickets and medical procedures, the stakes are predictably higher. Indeed, Keith Barnett, an attorney specializing in such cases, surmises that such fraudulent schemes are likely to be deployed where the financial incentives are most lucrative. The allure of quick money, coupled with the relative anonymity offered by online transactions, creates a fertile breeding ground for such fraud.

Adding to the complexity, the rise of generative artificial intelligence has provided fraudsters with sophisticated tools to create synthetic identities. These false identities are concocted using bits and pieces of real personal data, such as stolen Social Security numbers, making them all the more convincing and harder to detect. As Christopher Uriarte, a partner at Glenbrook Partners notes, these technological advancements have made it easier for criminals to perpetrate fraud on a scale previously deemed unmanageable.

In the face of this escalating threat, the implications for BNPL providers and the wider fintech ecosystem are significant. There needs to be a recalibration of risk management frameworks to adequately address the sophistication and rapid evolution of fraud tactics. Whether through enhanced data analytics, closer collaboration with law enforcement, or more stringent merchant screening processes, the response must be robust and adaptive.

Furthermore, this evolving fraud landscape underscores the importance of regulatory evolution to keep pace with technological advancements in the fintech sector. As highlighted in a recent Radom Insights post, the intersection of technology and regulation requires constant vigilance and proactive strategies.

Ultimately, while BNPL services offer considerable convenience and have democratized access to certain goods and services, they also invite complexities that require sophisticated countermeasures. In this digital game of cat and mouse, staying ahead of fraudsters is not just advisable; it's imperative for the sustainability of the fintech ecosystem.

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