The Six Scam Types Quietly Draining Bank Accounts Online

Jessica Albright · 2026-10-20

Online financial scams aren't some niche problem anymore. They've become a pervasive crime of the digital age, and they show up on every kind of online intermediary service you can think of — including the biggest platforms and search engines out there. The European Commission commissioned a study in 2025 to support its supervisory and enforcement work under the Digital Services Act (DSA). The goal? Map out how financial scams actually look across online platforms, then assess the strategies already in play — and the ones still emerging — to curb them. Open Evidence and Spark Legal and Policy Consulting carried out the research. One important note: the study doesn't evaluate whether the largest platforms and search engines are complying with the rules. It's a map, not a report card. So what did they find? Let's break it down. ### Six Categories, One Messy Reality The study sorts online financial scams into six broad buckets: - Investment scams - Romance scams - E-commerce scams - Employment and collaboration scams - Unexpected gain scams - Disaster relief scams Here's the part that should make you sit up: investment scams and romance scams are the most common and fastest-growing forms in Europe. And the lines between categories are blurring. Scammers mix and match methods, so a single scheme might start as a romance scam and slide into an investment pitch before the victim even notices the shift. > "The scam landscape is increasingly being redefined by overlapping methods across different categories." That's the study's own framing — and it's a warning worth taking seriously. ### The Platform Features Scammers Love Scams don't happen in a vacuum. They ride on the very features that make platforms useful. The study zeroes in on the ones scammers exploit most: - Advertising systems - Recommender systems - Content moderation of organic content - Monetisation systems - App store content and private messaging functions - Inauthentic identities and account manipulation - Deceptive commercial content - Generative AI That last one deserves a pause. Generative AI is making it cheaper and faster to produce convincing fake profiles, fake testimonials, and fake investment pitches at scale. What used to take a team now takes a few prompts. The study also shows how scams operate across multiple platforms at once, often facilitated by organized criminal networks. A victim might get hooked on one service, groomed on another, and drained through a third. No single platform sees the whole picture — which is exactly why coordination matters. ### What This Means for Business Professionals If you handle fraud prevention, compliance, or customer trust at your company, this study is worth your time. It gives you a shared vocabulary for the scam types you're likely already seeing in your incident reports. It also highlights which platform features create the most exposure. A few practical takeaways: - Audit your advertising and recommendation systems for scam-adjacent patterns - Treat identity verification as a first line of defense, not an afterthought - Watch for cross-category scams instead of training teams on isolated typologies - Build reporting channels that capture the full scam journey, not just the final transaction The full study and its executive summary are available in French and English for anyone who wants the deeper detail. But even the headline findings make one thing clear: financial scams online aren't a single problem with a single fix. They're a shifting ecosystem — and the defenses need to shift with them.