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Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q171-Q176):

NEW QUESTION # 171
Your Kubernetes cluster uses a snared secret to authenticate and authorize users accessing a sensitive API. However, you are concerned about the potential tor compromised secrets in the cluster, leading to unauthorized access. How can you securely manage secrets in the cluster using a secrets management solution like HashiCorp Vault, minimizing the risk of unauthorized access?

Answer:

Explanation:
Solution (Step by Step) :
1. Deploy HashiCorp Vault:
- Install Vault on a secure infrastructure within your cluster or outside. This could be a dedicated virtual machine or a Kubernetes pod.
- Configure Vault with the appropriate security settings. This includes enabling TLS, setting up authentication methods, and configuring access controls.
2. Configure Secrets Management:
- Create a secret engine in Vault to manage the shared secret This could be a "KV' engine or a specific engine for storing secrets.
- Store the shared secret securely in Vault.
- Configure Vault to provide access to the secret only to authorized applications or services. This can be achieved using Vault's roles and policies.
3. Integrate Vault with Kubernetes
- Use the Kubernetes Vault provider to connect the cluster to Vault. This allows Kubernetes to access secrets stored in Vault.
- Configure Kubernetes to use Vault for secret management. This can be done by creating a Vault Secret Manager, which provides a way to inject secrets into pods or other Kubernetes resources.
4. Update the application:
- MOdify the application to retrieve secrets from Vault instead of accessing them directly from the Kubernetes secret. This ensures that the application interacts with the secure secrets in Vault
5. Monitor and rotate secrets:
- Regularly monitor the access and usage of secrets in Vault.
- Implement a process to rotate the shared secret periodically. This minimizes the risk of unauthorized access if the secret is compromised.
This approach significantly improves the security of your clusters secrets by removing them from Kubernetes and using a dedicated secrets management system.
This multi-step process ensures that your sensitive data is stored securely and only authorized services or applications can access it.

NEW QUESTION # 172
Cluster: admission-cluster
Master node: master
Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context admission-cluster
Context:
A container image scanner is set up on the cluster, but it's not yet fully integrated into the cluster's configuration. When complete, the container image scanner shall scan for and reject the use of vulnerable images.
Task:
You have to complete the entire task on the cluster's master node, where all services and files have been prepared and placed.
Given an incomplete configuration in directory /etc/Kubernetes/config and a functional container image scanner with HTTPS endpoint https://imagescanner.local:8181/image_policy:
1. Enable the necessary plugins to create an image policy
2. Validate the control configuration and change it to an implicit deny
3. Edit the configuration to point to the provided HTTPS endpoint correctly Finally, test if the configuration is working by trying to deploy the vulnerable resource /home/cert_masters/test-pod.yml Note: You can find the container image scanner's log file at /var/log/policy/scanner.log

Answer:

Explanation:
[master@cli] $ cd /etc/Kubernetes/config
1. Edit kubeconfig to explicity deny
[master@cli] $ vim kubeconfig.json
"defaultAllow": false # Change to false
2. fix server parameter by taking its value from ~/.kube/config
[master@cli] $cat /etc/kubernetes/config/kubeconfig.yaml | grep server
server:
3. Enable ImagePolicyWebhook
[master@cli] $ vim /etc/kubernetes/manifests/kube-apiserver.yaml
- --enable-admission-plugins=NodeRestriction,ImagePolicyWebhook # Add this
- --admission-control-config-file=/etc/kubernetes/config/kubeconfig.json # Add this Explanation
[desk@cli] $ ssh master
[master@cli] $ cd /etc/Kubernetes/config
[master@cli] $ vim kubeconfig.json
{
"imagePolicy": {
"kubeConfigFile": "/etc/kubernetes/config/kubeconfig.yaml",
"allowTTL": 50,
"denyTTL": 50,
"retryBackoff": 500,
"defaultAllow": true # Delete this
"defaultAllow": false # Add this
}
}

Note: We can see a missing value here, so how from where i can get this value
[master@cli] $cat ~/.kube/config | grep server
or
[master@cli] $cat /etc/kubernetes/manifests/kube-apiserver.yaml

[master@cli] $vim /etc/kubernetes/config/kubeconfig.yaml

[master@cli] $ vim /etc/kubernetes/manifests/kube-apiserver.yaml - --enable-admission-plugins=NodeRestriction # Delete This - --enable-admission-plugins=NodeRestriction,ImagePolicyWebhook # Add this - --admission-control-config-file=/etc/kubernetes/config/kubeconfig.json # Add this Reference: https://kubernetes.io/docs/reference/access-authn-authz/admission-controllers/
- --enable-admission-plugins=NodeRestriction # Delete This
- --enable-admission-plugins=NodeRestriction,ImagePolicyWebhook # Add this
- --admission-control-config-file=/etc/kubernetes/config/kubeconfig.json # Add this
[master@cli] $ vim /etc/kubernetes/manifests/kube-apiserver.yaml - --enable-admission-plugins=NodeRestriction # Delete This - --enable-admission-plugins=NodeRestriction,ImagePolicyWebhook # Add this - --admission-control-config-file=/etc/kubernetes/config/kubeconfig.json # Add this Reference: https://kubernetes.io/docs/reference/access-authn-authz/admission-controllers/

NEW QUESTION # 173
You are responsible for securing the Kubernetes clusters supply chain. You want to ensure that only images from trusted registries are allowed to be deployed to the cluster. How would you configure Kubernetes to restrict deployments to only images from specific registries?

Answer:

Explanation:
Solution (Step by Step) :
1. Create a Pod Security Policy (PSP):
- A PSP is a policy that enforces security restrictions on pods. You can define the allowed registries for image pulls within the PSP
- create a PSP YAML file:

2. Define Allowed Registries: - Within the 'spec' of your PSP, create a field 'seLinux' and then define the allowed registries within the 'seLinux' field. - Example:

3. Apply the PSP: - Apply the PSP to your cluster using 'kubectl apply -f restricted-registry-psp.yaml' 4. Create a Service Account: - Create a service account that will be allowed to run pods with this PSP:

5. Bind the PSP to the Service Account: - Add the 'securityContext' field to your deployment and specify the PSP you just created:

- Apply the deployment: bash kubectl apply -f deploymentyaml - Now, the deployment will only be able to pull images from the specified registry.

NEW QUESTION # 174
You must complete this task on the following cluster/nodes: Cluster: immutable-cluster Master node: master1 Worker node: worker1 You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context immutable-cluster
Context: It is best practice to design containers to be stateless and immutable.
Task:
Inspect Pods running in namespace prod and delete any Pod that is either not stateless or not immutable.
Use the following strict interpretation of stateless and immutable:
1. Pods being able to store data inside containers must be treated as not stateless.
Note: You don't have to worry whether data is actually stored inside containers or not already.
2. Pods being configured to be privileged in any way must be treated as potentially not stateless or not immutable.

Answer:

Explanation:
k get pods -n prod
k get pod <pod-name> -n prod -o yaml | grep -E 'privileged|ReadOnlyRootFileSystem' Delete the pods which do have any of these 2 properties privileged:true or ReadOnlyRootFileSystem: false
[desk@cli]$ k get pods -n prod
NAME READY STATUS RESTARTS AGE
cms 1/1 Running 0 68m
db 1/1 Running 0 4m
nginx 1/1 Running 0 23m
[desk@cli]$ k get pod nginx -n prod -o yaml | grep -E 'privileged|RootFileSystem'
{"apiVersion":"v1","kind":"Pod","metadata":{"annotations":{},"creationTimestamp":null,"labels":{"run":"nginx"},"name":"nginx","namespace":"prod"},"spec":{"containers":[{"image":"nginx","name":"nginx","resources":{},"securityContext":{"privileged":true}}],"dnsPolicy":"ClusterFirst","restartPolicy":"Always"},"status":{}} f:privileged: {} privileged: true

[desk@cli]$ k delete pod nginx -n prod
[desk@cli]$ k get pod db -n prod -o yaml | grep -E 'privileged|RootFilesystem'

[desk@cli]$ k delete pod cms -n prod Reference: https://kubernetes.io/docs/concepts/policy/pod-security-policy/ https://cloud.google.com/architecture/best-practices-for-operating-containers Reference:
[desk@cli]$ k delete pod cms -n prod Reference: https://kubernetes.io/docs/concepts/policy/pod-security-policy/ https://cloud.google.com/architecture/best-practices-for-operating-containers

NEW QUESTION # 175
You are monitoring a Kubernetes cluster running a critical web application. You observe a sudden spike in resource consumption, specifically CPU utilization, on a specific pod within the cluster. The pod's CPL] usage is significantly higher than its usual baseline. How can you use behavioral analytics to investigate the cause of this spike and potentially identify malicious activity? Provide a step-by-step approach with concrete examples and tools.

Answer:

Explanation:
Solution (Step by Step):
1. Identify the affected pod: Use 'kubectl get podS or the Kubernetes dashboard to identity the pod exhibiting abnormal CPU usage.
2. Gatner relevant data:
- Kubernetes Events: Examine the pod's events using 'kubectl describe pod ' or 'kubectl get events -field-selector Look for unusual events like container restarts, tailed probes, or resource limits being exceeded.
- Pod logs: Use 'kubectl logs to retrieve the pod's logs. Analyze the logs for suspicious activity like error messages, unusual requests, or unexpected commands.
- Resource metrics: Employ monitoring tools like Prometheus, Grafana, or Datadog to visualize the pod's CPU usage over time. Identity potential anomalies like sudden spikes or sustained high usage that deviate from the baseline.
- Network traffic: Analyze network traffic associated with the pod using tools like tcpdump, Wireshark, or network monitoring dashboards. Look for unusual connections, excessive bandwidth consumption, or suspicious communication patterns.
3. Analyze the collected data:
- Baseline Comparison: Compare the current resource usage with the pod's historical performance baseline. Identify significant deviations that could indicate a problem.
- Behavioral Analysis: Look for unusual or unexpected actions within the pod's logs and events. For example, observe if the pod is executing scripts, running unexpected commands, or making excessive network calls.
4. Identify potential causes:
- Code Bug: Check for recent code changes or deployments that could have introduced resource-intensive code.
- Resource Contention: Analyze other pods sharing the same node to identify any potential resource contention.
- Malicious Activity: Consider the possibility of malicious activity if the observed behavior is consistent with known attack patterns. Examples include:
- Cryptojacking: The pod could be running cryptocurrency mining software.
- Denial-of-Service (DoS): The pod might be launching attacks against other resources.
- Data Exfiltration: The pod could be trying to steal sensitive data from the cluster
5. Investigate further:
- Security Scanning: Conduct a security scan of the affected container image to identify potential vulnerabilities. I-Jse tools like Clair, Trivy, or Anchore
- Network Forensics: If suspicious network traffic is identified, conduct network forensics analysis to track the source and destination of the traffic.
- Threat Intelligence: Use threat intelligence feeds to correlate observed behavior with known attack patterns and identify potential threat actors.
6. Remediation:
- Isolate the pod: If malicious activity is suspected, isolate the pod to prevent further harm.
- Patch vulnerabilities: Apply security patches to the affected container image and the Kubernetes nodes-
- Implement security controls: Strengthen security controls to prevent future attacks. Examples include:
- Network Segmentation: Isolate sensitive applications and data.
- Access Control: Use role-based access control (RBAC) to restrict access to sensitive resources.
- Intrusion Detection: Implement intrusion detection systems (IDS) to monitor for suspicious activity
Example (using Prometheus & Grafana):
- Configure Prometheus to scrape metrics from the Kubernetes cluster
- Use Grafana to create a dashboard with panels displaying pod resource usage over time.
- Analyze the dashboard to identify sudden spikes or sustained high CPU utilization.
- Drill down into the affected pod and examine logs and events to identify potential causes.

NEW QUESTION # 176
......

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