Resources. Everything on visual fraud, in one place.
Reports based on public, verifiable data, a practical guide and articles to understand how fake photos are used to collect refunds, claims and returns, and how to stop them.
Data and reference
Visual fraud statistics 2026
More than 30 figures on fraud with AI-edited or AI-generated photos, by industry, each with its source.
Read CasesReal cases of fraud with AI-edited photos
21 documented cases and alerts in 9 countries, from 2023 to 2026, in delivery, insurance, e-commerce, warranties and rentals.
Read GlossaryVisual fraud glossary
Shallowfake, C2PA, metadata, refund abuse and more, explained in a few lines.
ReadReports
Delivery Refund Fraud: Global Trends 2026
How AI-generated photos are used to request food refunds, with cases from China, India, the United States and Latin America.
Read Report · InsuranceInsurance Fraud with AI-Edited Photos: 2026 Trends
Added damage, recycled photos and staged scenes in car and home claims, with data from insurers in several countries.
Read Report · E-commerceE-commerce Return Fraud with AI-Edited Photos: 2026 Trends
“Broken” products and “empty” boxes made with AI to request returns, and how to stop them without punishing honest customers.
Read Report · WarrantyWarranty Fraud with AI-Edited Photos: 2026 Trends
AI-fabricated defects, recycled photos and service providers inflating claims, with manufacturer data and legal warranties in Latin America.
Read Report · RentalsPhoto Fraud in Vacation and Car Rentals: 2026 Trends
Damage claims with edited photos, on both sides: the Airbnb case in New York, Hertz’s scanners and new platform rules.
ReadGuides
Articles
Visual fraud: what it is and how to prevent it
The types of image fraud, where it is growing and how to prevent it with a layered analysis.
Read ArticleWhat is a shallowfake?
A simple edit of a real photo, how it differs from a deepfake and why it is the most common way to cash in on claims.
Read ArticleWhat is C2PA?
The content credentials that certify where a photo came from, who uses them and why they aren’t enough on their own.
ReadHow Vouch solves it
Vouch is a visual fraud detection platform. It analyzes every photo in under 30 seconds with three layers: detection of images generated or edited with AI, a search for the image online and in previous claims, and the customer’s context. It returns a 0–100 risk score with the reason, and gray-area cases go to a specialist. It works from Vouch Web, with no integration, or via API.