Identifying malicious network devices

Abstract

Embodiments provide for maliciousness scores to be determined for IP addresses and/or network domains. For example, a request to evaluate malicious activity with respect to an IP address/network domain may be received. Multiple, and in some cases disparate, third-party systems may provide malicious activity information associated with the IP address and/or network domain. A feature set may be extracted from the malicious activity information and statistical values may be calculated from the extracted data and added to the feature set. The features set may be provided to a machine learning model as input and a maliciousness score/classification may be returned. A remedial action may be performed in accordance with the output of the machine learning model.