技能 编程开发 Kubernetes 审计日志分析

Kubernetes 审计日志分析

v20260426
analyzing-kubernetes-audit-logs
分析 Kubernetes API Server 的审计日志,识别 exec/attach、Secrets 访问、RBAC 修改、特权 Pod 创建和匿名请求等可疑事件,帮助安全团队进行事件调查或补全 SIEM 检测规则。
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概览

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')}")
信息
Category 编程开发
Name analyzing-kubernetes-audit-logs
版本 v20260426
大小 8.21KB
更新时间 2026-05-10
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