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| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Logging, and Runtime Security | 20% | - Perform behavioral analytics to detect malicious activity - Minimize the attack surface using container health indicators - Detect threats at the container level - Audit and detect logs and events for anomalies - Falco - container security monitoring and threat detection - Understand and monitor network traffic |
| Cluster Setup | 10% | - Use role-based access control (RBAC) to minimize exposure - Use Pod Security Policies to control security-related pod behaviors - Understand the security implications of embedding cloud provider flags - Manage sensitive information in clusters - Configure TLS certificates and minimum version for etcd - Use Cis benchmarks to check Kubernetes cluster settings - Implement Pod-to-Pod encryption using mTLS or WireGuard |
| Cluster Hardening | 15% | - Minimize admission of containers with sharing the host process namespace - Minimize admission of containers with sharing the host network namespace - Minimize admission of containers with FlexVolume volumes - Minimize admission of containers with allowPrivilegeEscalation - Minimize admission of containers without seccomp profiles - Minimize admission of containers without AppArmor profile - Minimize admission of containers without a security context - Minimize admission of containers with sharing the host IPC namespace - Minimize admission of containers with raw block devices - Minimize admission of privileged containers - Minimize admission of containers with added capabilities - Minimize admission of containers with capabilities assigned - Minimize admission of containers that allow host namespaces - Minimize admission of containers with hostPath volumes |
| Supply Chain Security | 20% | - Use distroless images for static workload - Use static analysis tools to detect vulnerabilities - Understand the software supply chain best practices - Sign container images and verify signatures - Minimize base image footprint - Understand the container build process - Understand image security scanning and its workflow - Use image admission controllers to prevent use of untrusted images |
| System Hardening | 15% | - Understand the concept of OPA (Open Policy Agent) and Gatekeeper - Enable audit logging - Modify host components to improve security - Kernel defaults and parameters using sysctl |
| Minimize Microservice Vulnerabilities | 20% | - Understand the principle of immutable containers - Set appropriate security contexts for pods and containers - Configure network policies for namespace isolation - Use AppArmor or seccomp profiles to constrain container behavior - Use PSP to enforce security controls - Use OPA Gatekeeper to enforce security controls |
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57. Frage
You are running a Kubernetes cluster with a deployment named "my-app" that has been experiencing unexpected crashes. The crash logs indicate that the container's memory consumption is exceeding the resource limits defined in the deployment YAML. Explain how you can utilize the Kubernetes resource quotas and admission controller to prevent this from happening again.
Antwort:
Begründung:
Solution (Step by Step) :
1. Create a ResourceQuota:
- Define a ResourceQuota that limits the resources that can be consumed by pods in a specific namespace.
- Specify the limits for CPU, memory, storage, and other resources.
- For example, to limit memory usage to 2Gi per pod in the "my-app" namespace:
2. Enable the Resourceauota Admission Controller: - Ensure that the "Resourceauota" admission controller is enabled in your Kubernetes cluster. This can usually be done by setting the 'admissioncontror flag in the 'kube-apiserver' configuration. 3. Apply the ResourceQuota: - Apply the ResourceQuota to the "my-app" namespace using 'kubectl apply -f resource-quota_yaml 4. Update the Deployment - Modify the deployment's YAML file to specify the resource requests and limits for the container, ensuring they are within the defined ResourceQuota limits. For example:
5. Apply the updated deployment - Apply the updated deployment using 'kubectl apply -f deployment.yaml' 6. Monitor and Evaluate: - Monitor the resource consumption of pods in the "my-app" namespace and adjust the ResourceQuota limits as needed to ensure that your cluster remains stable.
58. Frage
You are tasked with hardening a Kubernetes cluster running on a public cloud provider. The cluster currently runs Kubernetes version 1.18 and has been exposed to the internet for several months. A security audit has identified several vulnerabilities in the current Kubernetes version, including CVE-2021-25743, which affects all versions prior to 1.22.
How do you upgrade your cluster to Kubernetes 1.22 and patch the vulnerabilities without disrupting the applications running on the cluster?
Antwort:
Begründung:
Solution (Step by Step) :
1. Plan the upgrade:
- Identify the workloads running in the cluster.
- Understand the dependencies and configurations of each workload.
- Check compatibility of workloads with the new Kubernetes version.
- Research the recommended upgrade path for your cloud provider.
2. Prepare the environment:
- Create a backup of the cluster configuration. This includes the cluster manifest, service account configurations, and any custom resources.
- Test the upgrade process on a staging environment. This helps to identify potential issues and avoid downtime in the production cluster.
- Identify and fix any issues discovered in the staging environment. This could involve updating application configurations or deploying new versions of workloads.
3. Perform the upgrade:
- Use the recommended upgrade process for your cloud provider. Most cloud providers provide automated tools for Kubernetes upgrades.
- Monitor the upgrade process closely. Keep an eye on logs and metrics for any issues or errors.
- Rollback to the previous version if necessary. Have a plan to revert the upgrade if any critical issues arise.
4. Validate the upgrade:
- Verify,/ that all applications are running as expected. Check application logs, metrics, and functionality to ensure that there are no regressions.
- Confirm that the vulnerabilities have been patched. Use tools like 'kubectl audit or 'kubeadm upgrade' to verify the patched version.
Example using Google Kubernetes Engine:
- Create a new cluster with the desired Kubernetes version (1.22) in the Google Cloud Console.
- Use 'kubectl get nodes --all-namespaces to list the nodes in the existing cluster.
- Use 'kubectl drain' to drain the nodes in the existing cluster-
- Use 'kubectl cordon' to cordon the nodes in the existing cluster.
- Once the nodes are drained and cordoned, use 'kubectl delete node to delete the nodes in the existing cluster
- Join the nodes to the new cluster using 'kuoectl join
- Migrate the applications and configurations from the old cluster to the new cluster
- Delete the old cluster
This process ensures a minimal disruption to the applications during the upgrade, and that the vulnerabilities are patched effectively.
59. Frage
Your organization is running a critical application in a Kubernetes cluster, and you need to implement a system to monitor and detect any malicious activity within the containers. Describe how you can leverage audit logs and container runtime security tools like Sysdig to achieve this goal.
Antwort:
Begründung:
Solution (Step by Step) :
1. Enable Kubernetes Audit Logging:
- Configure your Kubernetes cluster to generate audit logs. This involves enabling the 'audit' feature in the 'kube-apiserver' configuration and specifying the desired level of audit logging (e.g., 'Metadata', 'Request' , 'RequestResponse').
2. Define Audit Policies:
- Create audit policies to filter and prioritize the audit events you want to capture. For example, define a policy to audit all container image pulls and API requests related to specific resources.
3. Deploy Sysdig: - Install and configure Sysdig on your Kubernetes cluster Sysdig is a powerful container runtime security tool that provides real-time monitoring and threat detection capabilities. 4. Configure Sysdig Rules: - Create custom rules in Sysdig to detect suspicious activity within containers. These rules can be based on specific events, file access patterns, network connections, and other indicators of compromise.
5. Integrate with Logging and Monitoring Systems: - Integrate Sysdig with your existing logging and monitoring tools (e.g., ELK stack, Prometheus) to centralize and analyze security events. 6. Review and Analyze Logs: - Regularly review the audit logs and Sysdig alerts to identify any potential security threats. - Investigate suspicious events to understand the root cause and take appropriate actions.
60. Frage
Context:
Cluster: prod
Master node: master1
Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context prod
Task:
Analyse and edit the given Dockerfile (based on the ubuntu:18:04 image)
/home/cert_masters/Dockerfile fixing two instructions present in the file being prominent security/best-practice issues.
Analyse and edit the given manifest file
/home/cert_masters/mydeployment.yaml fixing two fields present in the file being prominent security/best-practice issues.
Note: Don't add or remove configuration settings; only modify the existing configuration settings, so that two configuration settings each are no longer security/best-practice concerns.
Should you need an unprivileged user for any of the tasks, use user nobody with user id 65535
Antwort:
Begründung:
1. For Dockerfile: Fix the image version & user name in Dockerfile
2. For mydeployment.yaml : Fix security contexts
Explanation
[desk@cli] $ vim /home/cert_masters/Dockerfile
FROM ubuntu:latest # Remove this
FROM ubuntu:18.04 # Add this
USER root # Remove this
USER nobody # Add this
RUN apt get install -y lsof=4.72 wget=1.17.1 nginx=4.2
ENV ENVIRONMENT=testing
USER root # Remove this
USER nobody # Add this
CMD ["nginx -d"]
[desk@cli] $ vim /home/cert_masters/mydeployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
creationTimestamp: null
labels:
app: kafka
name: kafka
spec:
replicas: 1
selector:
matchLabels:
app: kafka
strategy: {}
template:
metadata:
creationTimestamp: null
labels:
app: kafka
spec:
containers:
- image: bitnami/kafka
name: kafka
volumeMounts:
- name: kafka-vol
mountPath: /var/lib/kafka
securityContext:
{"capabilities":{"add":["NET_ADMIN"],"drop":["all"]},"privileged": True,"readOnlyRootFilesystem": False, "runAsUser": 65535} # Delete This
{"capabilities":{"add":["NET_ADMIN"],"drop":["all"]},"privileged": False,"readOnlyRootFilesystem": True, "runAsUser": 65535} # Add This resources: {} volumes:
- name: kafka-vol
emptyDir: {}
status: {}
Pictorial View:
[desk@cli] $ vim /home/cert_masters/mydeployment.yaml
61. Frage
A container image scanner is set up on the cluster.
Given an incomplete configuration in the directory
/etc/kubernetes/confcontrol and a functional container image scanner with HTTPS endpoint https://test-server.local.8081/image_policy
Antwort: A
Begründung:
2. Validate the control configuration and change it to implicit deny.
Finally, test the configuration by deploying the pod having the image tag as latest.
62. Frage
......
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