Back to results

Kubernetes Anomalous Outbound Network Activity from Process

The following analytic identifies anomalously high outbound network activity from processes running within containerized workloads in a Kubernetes environment. It leverages Network Performance Monitoring metrics…

Description

The following analytic identifies anomalously high outbound network activity from processes running within containerized workloads in a Kubernetes environment. It leverages Network Performance Monitoring metrics collected via an OTEL collector and pulled from Splunk Observability Cloud. The detection compares recent network metrics (tcp.bytes, tcp.new_sockets, tcp.packets, udp.bytes, udp.packets) over the last hour with the average metrics over the past 30 days. This activity is significant as it may indicate data exfiltration, process modification, or container compromise. If confirmed malicious, it could lead to unauthorized data exfiltration, communication with malicious entities, or further attacks within the containerized environment.

Detection logic

Detection requirements

Platform
ContainersIaaSLinuxmacOSWindows

The rule states no platform. This is derived from the ATT&CK technique it maps to.

Known benign triggers

  • No false positives have been identified at this time.

Detections can measure how the public catalogue is used — which detections people look for, and which pages bring them here. It sets a cookie that recognises this browser for 180 days. It is never linked to an account and never follows you to other sites. Privacy notice