AGENT SKILL

analyzing-kubernetes-audit-logs

Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco. '

License 许可
Apache-2.0
最近更新
2026-08-31
Stars
★ 3.6w
Forks
4.4k

01 前言 Front Matter

name
analyzing-kubernetes-audit-logs
tags
[ "kubernetes-security", "container-security", "audit-log-analysis", "rbac", "privilege-escalation", "k8s-api-server", "threat-detection" ]
author
mahipal
domain
cybersecurity
license
Apache-2.0
version
1.0
nist_csf
[ "PR.PS-01", "PR.IR-01", "ID.AM-08", "DE.CM-01" ]
subdomain
container-security
description
Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco. '
mitre_attack
[ "T1610", "T1613", "T1078", "T1552.007" ]

02 资源文件 3

03 SKILL.md 正文

Analyzing Kubernetes Audit Logs

When to Use

  • When investigating security incidents that require analyzing kubernetes audit logs
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Familiarity with container security concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

Parse Kubernetes audit log files (JSON lines format) to detect security-relevant events including unauthorized access, privilege escalation, and data exfiltration.

import json

with open("/var/log/kubernetes/audit.log") as f:
    for line in f:
        event = json.loads(line)
        verb = event.get("verb")
        resource = event.get("objectRef", {}).get("resource")
        user = event.get("user", {}).get("username")
        if verb == "create" and resource == "pods/exec":
            print(f"Pod exec by {user}")

Key events to detect:

  1. pods/exec and pods/attach (shell into containers)
  2. secrets access (get/list/watch)
  3. clusterrolebindings creation (RBAC escalation)
  4. Privileged pod creation
  5. Anonymous or system:unauthenticated access

Examples

# Detect secret enumeration
if verb in ("get", "list") and resource == "secrets":
    print(f"Secret access: {user} -> {event['objectRef'].get('name')}")

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