A method for identifying a risk merchant comprises: determining, for each of at least one marked merchant cluster based on a user correlation degree of a merchant to be identified and the each marked merchant cluster, a degree of similarity between the merchant to be identified and the marked merchant cluster, wherein each marked merchant in the each marked merchant cluster is marked with a corresponding risk category by a trained classification model, and the user correlation degree of the merchant to be identified and the marked merchant cluster comprises a user correlation coefficient of the merchant to be identified and the marked merchant cluster and a number of same users of the merchant to be identified and the marked merchant cluster; and determining whether the merchant to be identified is a risk merchant based on the degree of similarity between the merchant to be identified and the each marked merchant cluster.