Abstract: A method and apparatus for automatically identifying a fraudulent order are disclosed. The method comprises: a model training phase which comprises: taking history orders, which have been determined as fraudulent or not, as training samples, and extracting characteristics from respective history orders to provide respective characteristic vectors for the history orders; and training an order identifying model using the characteristic vectors for respective history orders, and an order identifying phase which comprises: extracting characteristics from an order to be identified to provide a characteristic vector for the order to be identified, and inputting the characteristic vector for the order to be identified into the order identifying model to obtain therefrom a result of whether the order to be identified is fraudulent or not. The method and apparatus according to the present disclosure are more adaptable to the rapid development of electronic commerce market, and more difficult to break.