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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 of MITRE ATT&CK Data Sources
  • Data Source List
  • Summary
  • Data Source Documentation:
  1. Threat Hunting
  2. Threat Frameworks
  3. MITRE Containers Matrix

MITRE Att&ck Data Sources

Overview of MITRE ATT&CK Data Sources

The MITRE ATT&CK framework not only categorizes adversary tactics and techniques but also provides valuable insights into the data sources that can be used to detect these activities. These data sources are essential for security professionals to monitor and analyze in order to identify and respond to threats effectively. Below is an overview of the key data sources referenced in the MITRE ATT&CK framework:

Data Source List

  1. Application Logs:

    • Logs generated by applications which can provide insights into application-specific activities and potential misuse or exploitation.

  2. Authentication Logs:

    • Logs that record authentication events, such as successful and failed login attempts, helping to detect unauthorized access attempts.

  3. Command Execution:

    • Data capturing the execution of commands on systems, which can reveal malicious script execution or command-line activity.

  4. File Monitoring:

    • Data related to the creation, modification, and deletion of files, aiding in the detection of suspicious file activities.

  5. Network Traffic:

    • Monitoring network communications to identify abnormal traffic patterns, potential data exfiltration, and command and control communications.

  6. Process Monitoring:

    • Data capturing the creation and termination of processes, useful for identifying unauthorized or unusual processes running on a system.

  7. Registry:

    • Monitoring registry modifications and access, particularly in Windows environments, to detect persistence mechanisms and configuration changes.

  8. Sensor Health and Status:

    • Information about the status and health of security sensors, ensuring they are functioning correctly and have not been tampered with.

  9. User Account:

    • Data on user account creation, deletion, and modification, which can indicate potential account misuse or compromise.

  10. BIOS:

    • Information from the Basic Input/Output System (BIOS), useful for detecting low-level tampering and persistence mechanisms.

  11. Email Gateway:

    • Data from email gateways can help in identifying phishing attempts and malicious email attachments or links.

  12. Firewall:

    • Logs and alerts from firewalls provide visibility into blocked and allowed traffic, aiding in the detection of unauthorized access attempts.

  13. Host Network Interface:

    • Data from network interfaces on hosts, which can provide insights into local network traffic and potential lateral movement.

  14. Packet Capture:

    • Detailed data from packet captures, enabling deep analysis of network traffic for signs of malicious activity.

  15. Cloud Service:

    • Monitoring and logging data from cloud services, essential for detecting and responding to threats in cloud environments.

  16. DNS:

    • DNS logs can reveal attempts to resolve malicious domains, indicating potential command and control activities.

  17. Web Proxy:

    • Data from web proxies helps in monitoring and controlling web traffic, useful for identifying access to malicious websites.

Summary

These data sources form the backbone of a comprehensive monitoring and detection strategy. By leveraging these sources, security professionals can gain a holistic view of their environment, enabling the detection and mitigation of adversarial tactics and techniques as outlined in the MITRE ATT&CK framework.

Data Source Documentation:

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Last updated 9 months ago

Data Sources | MITRE ATT&CK®
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