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CTHFM: Kubernetes
  • Welcome
  • Kubernetes Fundamentals
    • Kubernetes Components
      • Kubernetes Master Node
      • Worker Nodes
      • Pods
      • Service
      • ConfigMaps and Secrets
      • Namespaces
      • Deployments
      • ReplicaSets
      • Jobs and CronJobs
      • Horizontal Pod Autoscaler (HPA)
      • Kubernetes Ports and Protocols
    • Kubectl
      • Installation and Setup
      • Basic Kubectl
      • Working With Pods
      • Deployments and ReplicaSets
      • Services and Networking
      • ConfigMaps and Secrets
      • YAML Manifest Management
      • Debugging and Troubleshooting
      • Kubectl Scripting: Security
      • Customizing Kubectl
      • Security Best Practices
      • Common Issues
      • Reading YAML Files
    • MiniKube
      • Intro
      • Prerequisites
      • Installation MiniKube
      • Starting MiniKube
      • Deploy a Sample Application
      • Managing Kubernetes Resources
      • Configuring MiniKube
      • Persistent Storage in Minikube
      • Using Minikube for Local Development
      • Common Pitfalls
      • Best Practices
  • Kubernetes Logging
    • Kubernetes Logging Overview
    • Audit Logs
    • Node Logs
    • Pod Logs
    • Application Logs
    • Importance of Logging
    • Types of Logs
    • Collecting and Aggregating Logs
    • Monitoring and Alerting
    • Log Parsing and Enrichment
    • Security Considerations in Logging
    • Best Practices
    • Kubernetes Logging Architecture
  • Threat Hunting
    • Threat Hunting Introduction
    • What Makes Kubernetes Threat Hunting Unique
    • Threat Hunting Process
      • Hypothesis Generation
      • Investigation
      • Identification
      • Resolution & Follow Up
    • Pyramid of Pain
    • Threat Frameworks
      • MITRE Containers Matrix
        • MITRE Att&ck Concepts
        • MITRE Att&ck Data Sources
        • MITRE ATT&CK Mitigations
        • MITRE Att&ck Containers Matrix
      • Microsoft Threat for Kubernetes
    • Kubernetes Behavioral Analysis and Anomaly Detection
    • Threat Hunting Ideas
    • Threat Hunting Labs
  • Security Tools
    • Falco
      • Falco Overview
      • Falco's Architecture
      • Runtime Security Explained
      • Installation and Setup
      • Falco Rules
      • Tuning Falco Rules
      • Integrating Falco with Kubernetes
      • Detecting Common Threats with Falco
      • Integrating Falco with Other Security Tools
      • Automating Incident Response with Falco
      • Managing Falco Performance and Scalability
      • Updating and Maintaining Falco
      • Real-World Case Studies and Lessons Learned
      • Labs
        • Deploying Falco on a Kubernetes Cluster
        • Writing and Testing Custom Falco Rules
        • Integrating Falco with a SIEM System
        • Automating Responses to Falco Alerts
    • Open Policy Agent (OPA)
      • Introduction to Open Policy Agent (OPA)
      • Getting Started with OPA
      • Rego
      • Advanced Rego Concepts
      • Integrating OPA with Kubernetes
      • OPA Gatekeeper
      • Policy Enforcement in Microservices
      • OPA API Gateways
      • Introduction to CI/CD Pipelines and Policy Enforcement
      • External Data in OPA
      • Introduction to Decision Logging
      • OPA Performance Monitoring
      • OPA Implementation Best Practices
      • OPA Case Studies
      • OPA Ecosystem
    • Kube-Bench
    • Kube-Hunter
    • Trivy
    • Security Best Practices and Documentation
      • RBAC Good Practices
      • Official CVE Feed
      • Kubernetes Security Checklist
      • Securing a Cluster
      • OWASP
  • Open Source Tools
    • Cloud Native Computing Foundation (CNCF)
      • Security Projects
  • Infrastructure as Code
    • Kubernetes and Terraform
      • Key Focus Areas for Threat Hunters
      • Infastructure As Code: Kubernetes
      • Infrastructure as Code (IaC) Basics
      • Infastructure As Code Essential Commands
      • Terraform for Container Orchestration
      • Network and Load Balancing
      • Secrets Management
      • State Management
      • CI/CD
      • Security Considerations
      • Monitoring and Logging
      • Scaling and High Availability
      • Backup and Disaster Recovery
    • Helm
      • What is Helm?
      • Helm Architecture
      • Write Helm Charts
      • Using Helm Charts
      • Customizing Helm Charts
      • Customizing Helm Charts
      • Building Your Own Helm Chart
      • Advanced Helm Chart Customization
      • Helm Repositories
      • Helm Best Practices
      • Helmfile and Continuous Integration
      • Managing Secrets with Helm and Helm Secrets
      • Troubleshooting and Debugging Helm
      • Production Deployments
      • Helm Case Studies
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On this page
  • Kube-hunter
  • Key Features of Kube-hunter:
  • Typical Use Cases:
  • Documentation:
  1. Security Tools

Kube-Hunter

Kube-hunter

Kube-hunter is an open-source tool designed for security testing and auditing of Kubernetes clusters. Developed by Aqua Security, it is used to identify potential security vulnerabilities within Kubernetes environments by simulating an attacker's behavior. Kube-hunter helps cluster administrators and security professionals assess the security posture of their Kubernetes clusters by scanning for various types of misconfigurations and vulnerabilities.

Key Features of Kube-hunter:

  1. Passive and Active Hunting Modes:

    • Passive Mode: In this mode, kube-hunter performs a non-intrusive scan to gather basic information about the cluster without interacting with it directly. It is useful for gathering preliminary data without making any changes to the environment.

    • Active Mode: In this mode, kube-hunter actively attempts to exploit discovered vulnerabilities, simulating real-world attack scenarios. This mode is more intrusive and is used to validate the existence of potential vulnerabilities.

  2. Network Scanning:

    • Kube-hunter can perform network scans to identify Kubernetes-related services, open ports, and publicly accessible endpoints that could be exploited by attackers.

  3. Vulnerability Detection:

    • The tool detects a wide range of vulnerabilities, including those related to Kubernetes configurations, exposed dashboard interfaces, misconfigured RBAC (Role-Based Access Control) settings, and more.

  4. Reporting:

    • Kube-hunter provides detailed reports of discovered vulnerabilities, along with descriptions, severity levels, and recommendations for remediation. These reports can be used to prioritize and address security issues within the cluster.

  5. Running Environments:

    • Kube-hunter can be run as a Docker container, as a Kubernetes pod within the cluster, or even from an external machine. This flexibility allows it to be used in various deployment scenarios.

  6. Community and Extensibility:

    • Being open-source, kube-hunter benefits from community contributions and regular updates. Users can contribute to the project by adding new tests, enhancing existing ones, or providing feedback on detected issues.

Typical Use Cases:

  • Security Audits: Kube-hunter is commonly used in security audits to assess the security posture of Kubernetes clusters, helping organizations identify and fix vulnerabilities before they can be exploited by attackers.

  • Penetration Testing: Security professionals use kube-hunter as part of penetration testing activities to simulate attacks on Kubernetes clusters and evaluate the effectiveness of security controls.

  • Training and Education: Kube-hunter is also used in training environments to teach security practitioners and Kubernetes administrators about common security issues and best practices in securing Kubernetes environments.

Documentation:

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Last updated 7 months ago

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