Fraud And App Scams
| Payment type | Fraud and Authorised Push Payment (APP) scam |
|---|---|
| First created | Late 20th century |
| Original use | To describe scams where a victim is tricked into authorising a payment to a fraudster |
| Primary rule | PSD2 (Revised Payment Services Directive) and its Strong Customer Authentication (SCA) requirements |
| Bank's role | To implement safeguards, provide warnings, and may offer reimbursement under a voluntary code |
| Typical method | Social engineering via impersonation, investment scams, or romance scams |
| Key distinction | Payment is authorised by the account holder, unlike unauthorised fraud |
Origin and history
The regulatory concept of "Fraud and App Scams" as a distinct category of payment fraud emerged in Europe in the 2010s, concurrent with the rapid adoption of smartphones and real-time payment systems. Its recognition was not an invention but a formalization of criminal activities exploiting new technological interfaces. The history is intrinsically linked to the development of mobile banking applications and instant payment schemes like the Single Euro Payments Area (SEPA) Instant Credit Transfer. Prior to this decade, many such scams were categorized under broader headings like "authorised push payment fraud" or "social engineering." The specific focus on "app" scams arose as banks encouraged customers to use mobile apps for daily banking, creating a new attack vector. The European regulatory framework began to explicitly address this category in the late 2010s as data on losses mounted.
What it is for
The term "Fraud and App Scams" categorizes a specific fraud method where a payer is manipulated into authorizing a payment to a scammer through their banking application. It is for accurately describing a crime that occurs within the legitimate banking infrastructure, unlike card fraud which often involves stolen credentials. The classification is crucial for regulatory reporting, loss tracking, and developing targeted consumer warnings by banks and European authorities. It specifically covers scenarios where the customer, deceived by social engineering, actively uses their banking app to initiate and approve the transaction. This distinguishes it from malware-based attacks that directly take over the app or device without user consent. The framework exists to clarify liability discussions between the paying customer and their bank under European payment services rules.
Pros and cons
A primary pro of the focused regulatory attention on Fraud and App Scams is that it forces banks to improve customer authentication, transaction monitoring, and real-time intervention systems. It also creates a clearer pathway for customer reimbursement in some jurisdictions, as seen in the UK's contingent reimbursement model code. A significant con is that the definition places a heavy burden of proof on the customer to demonstrate they were not negligent, leading to complex and often distressing disputes. Many customers regret authorizing these payments because the funds are typically irretrievable once transferred in real-time, and they face lengthy investigations. A common mistake is the belief that a bank's standard security is a guarantee against all fraud, when the scam exploits the customer's own actions. The framework can also lead to friction in the user experience, as banks implement more intrusive confirmation prompts that some legitimate customers find cumbersome.
Who it suits
This regulatory focus suits European legislative bodies and banking regulators seeking to standardize the approach to a growing source of financial loss across the Single Market. It suits banks by providing a structured category for fraud reporting and risk management, though it also increases potential liability under strict interpretations of the Payment Services Directive (PSD2). The framework does not suit individual customers who are victims of sophisticated scams, as they often bear the loss unless gross negligence by the bank is proven. It is most relevant for consumers and businesses actively using mobile banking applications and instant payment services, as they are the primary targets. Law enforcement agencies also benefit from the categorization, as it aids in compiling accurate statistics and understanding crime trends for public awareness campaigns.
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