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Digital forgery without the marketing fog.
Practical analysis of AI-generated images, deepfakes, fabricated evidence and verification methods. Every article is built around technical sources, institutional guidance and current fraud intelligence.
01AI / MEDIA FORENSICS0203
LATEST ANALYSES
VINTED / SCAMS / AI / 2026 GUIDE22 min
Vinted scams in 2026: what to do if you have been scammed and how to challenge fake AI evidence
Scammed on Vinted? A practical guide to fake returns, empty parcels, counterfeit goods, phishing, account takeovers and AI-edited damage photos.
Vinted scamsscammed on VintedVinted buyer scam
Read article ↗IMAGE VERIFICATION / PRACTICE11 min
How to tell if an image is AI-generated: methods that still make sense in 2026
How to detect AI images using metadata, C2PA, pixel and compression forensics, multiple detectors and sensible interpretation. A practical NIST-based guide.
how to tell if an image is AI generatedAI image detectionAI image detector
Read article ↗FRAUD INTELLIGENCE / DEEPFAKE12 min
Deepfake fraud: how AI impersonation works and how people and companies can defend themselves
Deepfakes, voice cloning, fake video and synthetic images in fraud. Attack chain, FBI and FTC evidence, and practical verification controls for people and businesses.
deepfake fraudAI scamsvoice cloning scam
Read article ↗E-COMMERCE / DIGITAL EVIDENCE13 min
Fake images in e-commerce returns and claims: how AI changes the value of digital evidence
How to verify images submitted in e-commerce returns, claims and disputes when AI can fabricate or alter evidence. A practical evidence workflow and its limits.
fake images ecommerceAI return fraudecommerce claim image verification
Read article ↗03
Sources
Research, practice and risk analysis for digital forgery and synthetic media.
NISTFBI / IC3FTCC2PAEuropolINTERPOL