US Patent 11843624 Trained model to detect malicious command and control traffic

The technology disclosed relates to a method, system, and non-transitory computer-readable media that classifies cloud traffic between a client and cloud application as malicious command and control (C2) cloud traffic or benign cloud traffic. A cloud traffic classifier, in communication with a network security system, is provided intercepted cloud traffic as an input, and generate an output that classifies the cloud traffic as malicious command and control (C2) cloud traffic or benign cloud traffic. The classifier may use signals such as beaconing behavior, anomalous entity, anomalous agent, anomalous username, anomalous username, anomalous agent, cat's paw behavior of the client, anomalous hostname access patterns, and/or malicious task sequence execution.