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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
  • Writing and Testing Custom Falco Rules Overview
  • Step 1: Understand the Structure of a Falco Rule
  • Step 2: Write a Custom Falco Rule
  • Step 3: Load the Custom Rule into Falco
  • Step 4: Test the Custom Rule
  • Step 5: Fine-Tune the Rule (Optional)
  • Step 6: Clean Up
  • Conclusion:
  1. Security Tools
  2. Falco
  3. Labs

Writing and Testing Custom Falco Rules

Writing and Testing Custom Falco Rules Overview

Objective: In this lab, you will learn how to write custom Falco rules tailored to your specific security requirements. You will then test these rules by simulating various security incidents within your Kubernetes environment to ensure that Falco triggers the appropriate alerts. This hands-on exercise will help you understand how to extend Falco’s monitoring capabilities to better fit your organization’s security needs.

Prerequisites:

  • A running Kubernetes cluster with Falco installed (as completed in Lab 5.1).

  • Basic understanding of Falco rules and how they are structured.

  • kubectl command-line tool configured to interact with your cluster.

Step 1: Understand the Structure of a Falco Rule

Before writing custom rules, it’s important to understand the basic structure of a Falco rule. A typical Falco rule consists of:

  • Rule Name: A unique name that identifies the rule.

  • Description: A brief explanation of what the rule is detecting.

  • Condition: The criteria that must be met for the rule to trigger.

  • Output: The alert message generated when the rule is triggered.

  • Priority: The severity level of the alert (e.g., Warning, Critical).

  • Tags: Optional labels that help categorize the rule.

Step 2: Write a Custom Falco Rule

Now, you’ll write a custom Falco rule that detects a specific security scenario. In this example, we’ll create a rule that detects any attempts to modify the /etc/passwd file, which could indicate an unauthorized attempt to gain elevated privileges.

  1. Create a new YAML file for your custom rule:

    touch falco-custom-rules.yaml
  2. Open the file in your preferred text editor and add the following rule:

    - rule: Unauthorized Access to /etc/passwd
      desc: Detects any attempt to modify the /etc/passwd file, which may indicate a privilege escalation attempt.
      condition: open_write and fd.name = "/etc/passwd"
      output: "Unauthorized access to /etc/passwd detected (user=%user.name command=%proc.cmdline)"
      priority: Critical
      tags: [filesystem, privilege_escalation]

    Explanation:

    • The condition specifies that the rule will trigger if there is an attempt to write (open_write) to the /etc/passwd file.

    • The output message provides details about the user and command involved in the event.

    • The priority is set to Critical due to the potential severity of the action.

Step 3: Load the Custom Rule into Falco

To apply your custom rule, you need to load it into Falco. This is typically done by adding the custom rule to Falco’s configuration.

  1. Create a ConfigMap in Kubernetes to hold your custom rules:

    kubectl create configmap falco-custom-rules --from-file=falco-custom-rules.yaml -n falco
  2. Edit the Falco DaemonSet to include your custom rules. You’ll need to modify the Falco deployment to mount the ConfigMap containing your custom rules.

    • First, open the Falco DaemonSet configuration for editing:

      kubectl edit daemonset falco -n falco
    • Add a volume to the DaemonSet that mounts the ConfigMap:

      volumes:
        - name: falco-custom-rules
          configMap:
            name: falco-custom-rules
    • Then, mount the volume in the Falco container:

      volumeMounts:
        - mountPath: /etc/falco/rules.d/falco-custom-rules.yaml
          name: falco-custom-rules
          subPath: falco-custom-rules.yaml
  3. Save and exit the editor. Kubernetes will automatically update the Falco pods with the new configuration.

Step 4: Test the Custom Rule

Now that your custom rule is loaded, you can test it by simulating an event that should trigger the rule.

  1. Start a test pod with an interactive shell:

    kubectl run -it --rm test-shell --image=busybox -- sh
  2. Inside the shell, try to modify the /etc/passwd file:

    echo "fakeuser:x:1001:1001::/home/fakeuser:/bin/sh" >> /etc/passwd

    This command simulates an unauthorized attempt to add a user to the /etc/passwd file.

  3. Exit the shell.

  4. Check the Falco logs to see if the custom rule was triggered:

    kubectl logs -n falco -l app=falco

    You should see an alert similar to the following:

    18:45:23.123456789: Critical Unauthorized access to /etc/passwd detected (user=root command=sh -c echo "fakeuser:x:1001:1001::/home/fakeuser:/bin/sh" >> /etc/passwd)

Step 5: Fine-Tune the Rule (Optional)

Depending on your environment, you may need to fine-tune the rule to reduce false positives or make it more specific.

  • Refine the Condition:

    • You could adjust the condition to only trigger on certain processes or users, making the rule more targeted.

  • Test Various Scenarios:

    • Simulate different scenarios, such as legitimate modifications by system administrators, to ensure that the rule only triggers on truly unauthorized attempts.

Step 6: Clean Up

After completing the lab, clean up the resources you created.

  1. Delete the test pod (if not already removed):

    kubectl delete pod test-shell
  2. Optionally, remove the custom rule:

    kubectl delete configmap falco-custom-rules -n falco
    • Edit the Falco DaemonSet to remove the volume mount if you’re not keeping the custom rule:

      kubectl edit daemonset falco -n falco
    • Remove the corresponding entries for the falco-custom-rules volume and volume mount.

Conclusion:

In this lab, you successfully wrote and tested a custom Falco rule to detect unauthorized modifications to the /etc/passwd file. This exercise demonstrated how to extend Falco’s monitoring capabilities by creating rules tailored to your specific security needs. You also learned how to load custom rules into Falco and validate their effectiveness through testing. With this knowledge, you can now create and deploy custom rules to enhance the security monitoring of your Kubernetes environment.

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Last updated 9 months ago