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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
  • Overview
  • 1. Cluster Provisioning and Configuration:
  • 2. Kubernetes Resources Management:
  • 3. Terraform State and Kubernetes Integration:
  • 4. CI/CD Integration:
  • 5. Monitoring and Logging:
  • 6. Compliance and Best Practices:
  • 7. Networking and Security Groups:
  • 8. Access Control and Identity Management:
  1. Infrastructure as Code
  2. Kubernetes and Terraform

Key Focus Areas for Threat Hunters

Overview

Terraform is used to deploy and manage Kubernetes clusters, a threat hunter should focus on the following key areas to ensure the security and integrity of the deployment:


1. Cluster Provisioning and Configuration:

  • Kubernetes Cluster Setup: Terraform can provision Kubernetes clusters using providers like kubernetes, kubernetes-alpha, or cloud-specific providers (e.g., azurerm for Azure, aws for EKS). Threat hunters should ensure that these clusters are set up following security best practices, such as securing the API server, limiting access to the control plane, and using private endpoints where possible.

  • Node Pools: Terraform manages node pools (e.g., worker nodes in GKE, EKS, or AKS). Ensuring that these nodes are correctly configured with minimal permissions and secured using proper network security groups and firewalls is essential.

  • RBAC Policies: Terraform can define RBAC policies within Kubernetes. A threat hunter should audit these policies to ensure that they enforce the principle of least privilege and do not inadvertently expose sensitive resources.

2. Kubernetes Resources Management:

  • Namespace Segmentation: Terraform can create and manage namespaces within a Kubernetes cluster. Ensuring proper segmentation and applying appropriate network policies between namespaces can prevent lateral movement within the cluster.

  • Resource Definitions: Terraform may manage Kubernetes resources like Pods, Deployments, Services, Ingress, etc. Threat hunters should be vigilant about configurations that could expose the cluster to risk, such as privileged containers, insecure service exposures, or improper Ingress configurations.

  • Secrets Management: Terraform can manage Kubernetes secrets. It’s crucial to ensure that secrets are handled securely, encrypted at rest, and not exposed in logs or state files.

3. Terraform State and Kubernetes Integration:

  • State File Security: Terraform state files contain the current configuration of the Kubernetes cluster. Threat hunters need to ensure these files are encrypted and securely stored, as they could contain sensitive information like cluster credentials, secrets, and resource configurations.

  • Drift Detection: Kubernetes resources can change independently of Terraform. Monitoring for drift between the Terraform state and the actual Kubernetes state is essential to detect unauthorized changes.

4. CI/CD Integration:

  • Pipeline Security: When Terraform is integrated into CI/CD pipelines for deploying Kubernetes resources, it’s important to ensure that the pipeline itself is secure. This includes using signed commits, secure storage for pipeline secrets, and implementing role-based access controls to prevent unauthorized changes.

  • Automated Scanning: Integrate security tools that scan Terraform configurations and Kubernetes manifests as part of the CI/CD pipeline to detect and prevent potential misconfigurations or vulnerabilities before they are deployed.

5. Monitoring and Logging:

  • Terraform Execution Logs: Monitoring Terraform execution logs for commands like terraform apply, terraform destroy, or terraform plan is crucial for detecting unauthorized changes or misconfigurations in the Kubernetes cluster.

  • Kubernetes Audit Logs: Ensure that Kubernetes audit logs are enabled and monitored. These logs should be correlated with Terraform activity to detect any discrepancies or unauthorized actions that might indicate a compromise.

6. Compliance and Best Practices:

  • Policy Enforcement: Utilize tools like Open Policy Agent (OPA) or Kubernetes-native admission controllers to enforce security policies on Kubernetes resources managed by Terraform. These tools can help ensure compliance with security standards and best practices.

  • Security Scanning: Use tools like tfsec for Terraform and kube-bench or kube-hunter for Kubernetes to assess the security of the deployment. These tools can help identify vulnerabilities or misconfigurations that a threat hunter should be aware of.

7. Networking and Security Groups:

  • Network Policies: Ensure that network policies are correctly applied to control traffic between pods and services. Misconfigured network policies can expose sensitive data or services to unauthorized access.

  • Ingress/Egress Control: Monitor and review the configuration of Ingress controllers and load balancers deployed via Terraform to ensure they are not exposing sensitive endpoints or allowing unwanted traffic into the cluster.

8. Access Control and Identity Management:

  • Kubernetes Service Accounts: Terraform may manage Kubernetes service accounts and their roles. It’s important to ensure these are properly scoped with minimal permissions and are not overly privileged.

  • IAM Integration: When using managed Kubernetes services (e.g., EKS, AKS, GKE), ensure that the integration with cloud IAM roles is securely configured to prevent privilege escalation or unauthorized access.

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Last updated 9 months ago