ScamClassifier^SM Model: Successfully Registered for Access

Thank you for signing up to access the ScamClassifier model. Click the button below to download the full model with supporting terms and definitions – and refer to the ScamClassifier model webpage for more information.

The ScamClassifier model supports consistent and detailed classification, reporting, analysis and identification of scams and related trends – a prerequisite to help promote accuracy of scam reporting, detection and mitigation. It can be used as a standalone classification structure – or applied either before or after the FraudClassifier^SM model is used more broadly to classify an incident as fraud.