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部署与运维 · SKILL.md

implementing-rbac-hardening-for-kubernetes

implementing-rbac-hardening-for-kubernetes

【部署与运维】通过实施最小权限策略、审计角色绑定、消除 cluster-admin 权限蔓延并集成外部身份提供商,加固 Kubernetes 基于角色的访问控制(RBAC)。

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GitHub

name: implementing-rbac-hardening-for-kubernetes description: 通过实施最小权限策略、审计角色绑定、消除 cluster-admin 权限蔓延并集成外部身份提供商,加固 Kubernetes 基于角色的访问控制(RBAC)。 domain: cybersecurity subdomain: container-security tags: [kubernetes, rbac, access-control, least-privilege, security-hardening, iam, oidc, service-accounts] version: "1.0" author: mahipal license: Apache-2.0

实施 Kubernetes RBAC 加固

概述

Kubernetes 基于角色的访问控制(RBAC,Role-Based Access Control)根据分配给用户、组和服务账户的角色来管理对集群资源的访问。默认配置通常会授予过多权限,若不主动加固,RBAC 会成为权限提升(Privilege Escalation)、横向移动(Lateral Movement)和数据外泄(Exfiltration)的主要攻击入口。加固工作需要实施最小权限原则(Least Privilege)、消除不必要的 ClusterRole 绑定、隔离服务账户、集成外部身份提供商,并持续进行审计。

前置条件

  • Kubernetes 集群 v1.24+,已启用 RBAC(v1.6 起默认开启)
  • 具有 cluster-admin 权限的 kubectl 访问(用于初始审计)
  • 用于用户认证的外部身份提供商(OIDC)
  • API server 已启用审计日志

核心加固原则

1. 消除 cluster-admin 权限蔓延

审计并移除不必要的 cluster-admin 绑定:

# 列出所有 cluster-admin 绑定
kubectl get clusterrolebindings -o json | jq -r '
  .items[] |
  select(.roleRef.name == "cluster-admin") |
  "\(.metadata.name) -> \(.subjects[]? | "\(.kind)/\(.name) (\(.namespace // "cluster"))")"
'

2. 优先使用命名空间范围的 Role 而非 ClusterRole

使用 Role 和 RoleBinding 替代 ClusterRole 和 ClusterRoleBinding:

# 推荐:命名空间范围的角色
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  namespace: application
  name: app-developer
rules:
  - apiGroups: ["apps"]
    resources: ["deployments"]
    verbs: ["get", "list", "watch", "create", "update", "patch"]
  - apiGroups: [""]
    resources: ["pods", "pods/log"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["configmaps"]
    verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  namespace: application
  name: app-developer-binding
subjects:
  - kind: Group
    name: dev-team
    apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: Role
  name: app-developer
  apiGroup: rbac.authorization.k8s.io

3. 为每个工作负载使用专用服务账户

apiVersion: v1
kind: ServiceAccount
metadata:
  name: payment-processor
  namespace: payments
automountServiceAccountToken: false  # 禁用自动挂载
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: payment-processor
  namespace: payments
spec:
  template:
    spec:
      serviceAccountName: payment-processor
      automountServiceAccountToken: true  # 仅在明确需要时挂载
      containers:
        - name: processor
          image: payments/processor:v2.1@sha256:abc...

4. 限制危险权限

阻止可导致权限提升的权限:

# 需要限制的危险动词/资源:
# - secrets: get, list, watch(暴露命名空间内所有密钥)
# - pods/exec: create(允许在 Pod 内执行命令)
# - pods: create(带特权 securityContext)
# - serviceaccounts/token: create(生成新令牌)
# - clusterroles/clusterrolebindings: create, update(自我提权)
# - nodes/proxy: create(绕过 API server 授权)

# 安全的只读角色示例
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: security-viewer
rules:
  - apiGroups: [""]
    resources: ["pods", "services", "namespaces", "nodes"]
    verbs: ["get", "list", "watch"]
  - apiGroups: ["apps"]
    resources: ["deployments", "daemonsets", "statefulsets"]
    verbs: ["get", "list", "watch"]
  - apiGroups: ["networking.k8s.io"]
    resources: ["networkpolicies"]
    verbs: ["get", "list", "watch"]

5. 集成 OIDC 实现用户认证

# OIDC 集成的 API server 参数
apiVersion: v1
kind: Pod
metadata:
  name: kube-apiserver
spec:
  containers:
    - name: kube-apiserver
      command:
        - kube-apiserver
        - --oidc-issuer-url=https://idp.company.com
        - --oidc-client-id=kubernetes
        - --oidc-username-claim=email
        - --oidc-groups-claim=groups
        - --oidc-ca-file=/etc/kubernetes/pki/oidc-ca.crt

RBAC 审计流程

步骤 1:枚举所有绑定

# 列出所有带主体的 ClusterRoleBinding
kubectl get clusterrolebindings -o json | jq -r '
  .items[] | select(.subjects != null) |
  .subjects[] as $s |
  "\(.metadata.name) | \(.roleRef.name) | \($s.kind)/\($s.name)"
' | sort | column -t -s '|'

# 列出所有命名空间的 RoleBinding
kubectl get rolebindings --all-namespaces -o json | jq -r '
  .items[] | select(.subjects != null) |
  .subjects[] as $s |
  "\(.metadata.namespace) | \(.metadata.name) | \(.roleRef.name) | \($s.kind)/\($s.name)"
' | sort | column -t -s '|'

步骤 2:识别过度授权的服务账户

# 查找具有 cluster-admin 或 admin 角色的服务账户
kubectl get clusterrolebindings -o json | jq -r '
  .items[] |
  select(.roleRef.name == "cluster-admin" or .roleRef.name == "admin") |
  select(.subjects[]?.kind == "ServiceAccount") |
  "\(.subjects[] | select(.kind == "ServiceAccount") | "\(.namespace)/\(.name)")"
'

步骤 3:检查默认服务账户使用情况

# 查找使用默认服务账户的 Pod
kubectl get pods --all-namespaces -o json | jq -r '
  .items[] |
  select(.spec.serviceAccountName == "default" or .spec.serviceAccountName == null) |
  "\(.metadata.namespace)/\(.metadata.name)"
'

步骤 4:验证令牌自动挂载

# 查找自动挂载服务账户令牌的 Pod
kubectl get pods --all-namespaces -o json | jq -r '
  .items[] |
  select(.spec.automountServiceAccountToken != false) |
  "\(.metadata.namespace)/\(.metadata.name) sa=\(.spec.serviceAccountName // "default")"
'

工具

rbac-lookup

# 安装 rbac-lookup
kubectl krew install rbac-lookup

# 查看特定用户的 RBAC 配置
kubectl rbac-lookup developer@company.com

# 以宽格式查看所有 RBAC 绑定
kubectl rbac-lookup --kind user -o wide

rakkess(访问审查)

# 安装 rakkess
kubectl krew install access-matrix

# 显示当前用户的访问矩阵
kubectl access-matrix

# 显示特定服务账户的访问权限
kubectl access-matrix --sa payments:payment-processor

参考资料

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