Online payment fraud is accelerating. According to payment network figures, fraudulent attempts on e-commerce rose 18% in 2025, though the fraudster success rate remains low thanks to contemporary detection systems. However, each suspicious transaction generates investigation costs, legitimate payment rejections, and impacts customer experience. E-retailers and payment providers are seeking a joint response.
Current fraud vectors
Online payment fraud takes multiple forms. Bank data theft, once concentrated on database breaches, now also occurs through targeted phishing and malware. Fraudsters collect card numbers and authentication data, then test this information across various sites.
Friendly fraud is growing: a buyer claims an unauthorized transfer to their bank to obtain a refund while keeping the merchandise. This type of fraud is hard to prove and penalizes the e-merchant who must justify service delivery.
Finally, counterfeit credit card attacks, once uncommon, are gaining ground thanks to increasing availability of stolen data. Fraudsters create duplicate cards and make massive purchases during a short window before the victim or bank detects activity.
Detection and prevention technology
Facing these threats, payment providers have deployed machine learning systems capable of analyzing each transaction in real time. These systems examine customer historical profile, geolocation, and purchasing habits to detect anomalies. A transaction from an unusual location or drastically different amount can trigger enhanced authentication.
The Strong Customer Authentication (SCA) directive in Europe now requires two-factor verification for most online payments. This enhanced authentication slows checkout but significantly reduces fraud. E-retailers and payment platforms optimize this step to minimize cart abandonment.
IP addresses, browser fingerprints, and behavioral data enable transactions to be classified by risk level without direct customer intervention for low-risk operations.
Balancing security and experience
The real challenge is blocking fraud without penalizing legitimate customers. Each additional verification increases checkout abandonment. E-retailers must calibrate friction level based on their vertical and customer base.
High-risk sectors like luxury or high-value electronics accept substantial friction. Other sectors like mainstream fashion or services prioritize frictionless experience even at the cost of slightly higher fraud that they absorb through payment insurance.
Collaboration between banks, card networks, and e-retailers is intensifying. Sharing fraud data without revealing personal information allows the ecosystem to adapt collectively. Common risk assessment tools are emerging, funded by industry and oriented toward proactive protection.