SMASH is an Anti-Fraud framework based on a widespread model of Transaction Monitoring. It learns to recognize users of online payment services and their usually behaviour thanks to Closed algorithms, able to analyze and to correlate more than one hundred of parameters. These information are correlated and matched with usually behaviours of users themselves, determining in real time the factor's risk of every transaction.