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The Linux Foundation CKS Exam covers various aspects of Kubernetes security, including access control, network security, cluster hardening, authentication and authorization, and monitoring and logging. Candidates are required to demonstrate their knowledge of these topics through a series of practical, scenario-based questions that test their ability to analyze and solve security problems in real-world situations.
It is impossible for everyone to concentrate on one thing for a long time, because as time goes by, people's attention will gradually decrease. Our CKS test preparation materials can teach users how to arrange their time. And our CKS learn materials are arranged for the user reasonable learning time, allow the user to try to avoid long time continuous use of our CKS Exam Questions, so that we can better let users in the most concentrated attention to efficient learning on our CKS training guide.
The CKS Exam is currently available online, and candidates have two hours to complete 15-20 hands-on lab tasks. CKS exam covers a range of topics, including Kubernetes cluster hardening, RBAC implementation, securing Kubernetes networking, securing container images, pod security policies, and monitoring Kubernetes clusters.
NEW QUESTION # 28
Fix all issues via configuration and restart the affected components to ensure the new setting takes effect.
Fix all of the following violations that were found against the API server:- a. Ensure the --authorization-mode argument includes RBAC b. Ensure the --authorization-mode argument includes Node c. Ensure that the --profiling argument is set to false Fix all of the following violations that were found against the Kubelet:- a. Ensure the --anonymous-auth argument is set to false.
b. Ensure that the --authorization-mode argument is set to Webhook.
Fix all of the following violations that were found against the ETCD:-
a. Ensure that the --auto-tls argument is not set to true
Hint: Take the use of Tool Kube-Bench
Answer:
Explanation:
API server:
Ensure the --authorization-mode argument includes RBAC
Turn on Role Based Access Control. Role Based Access Control (RBAC) allows fine-grained control over the operations that different entities can perform on different objects in the cluster. It is recommended to use the RBAC authorization mode.
Fix - Buildtime
Kubernetes
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
component: kube-apiserver
tier: control-plane
name: kube-apiserver
namespace: kube-system
spec:
containers:
- command:
+ - kube-apiserver
+ - --authorization-mode=RBAC,Node
image: gcr.io/google_containers/kube-apiserver-amd64:v1.6.0
livenessProbe:
failureThreshold: 8
httpGet:
host: 127.0.0.1
path: /healthz
port: 6443
scheme: HTTPS
initialDelaySeconds: 15
timeoutSeconds: 15
name: kube-apiserver-should-pass
resources:
requests:
cpu: 250m
volumeMounts:
- mountPath: /etc/kubernetes/
name: k8s
readOnly: true
- mountPath: /etc/ssl/certs
name: certs
- mountPath: /etc/pki
name: pki
hostNetwork: true
volumes:
- hostPath:
path: /etc/kubernetes
name: k8s
- hostPath:
path: /etc/ssl/certs
name: certs
- hostPath:
path: /etc/pki
name: pki
Ensure the --authorization-mode argument includes Node
Remediation: Edit the API server pod specification file /etc/kubernetes/manifests/kube-apiserver.yaml on the master node and set the --authorization-mode parameter to a value that includes Node.
--authorization-mode=Node,RBAC
Audit:
/bin/ps -ef | grep kube-apiserver | grep -v grep
Expected result:
'Node,RBAC' has 'Node'
Ensure that the --profiling argument is set to false
Remediation: Edit the API server pod specification file /etc/kubernetes/manifests/kube-apiserver.yaml on the master node and set the below parameter.
--profiling=false
Audit:
/bin/ps -ef | grep kube-apiserver | grep -v grep
Expected result:
'false' is equal to 'false'
Fix all of the following violations that were found against the Kubelet:- Ensure the --anonymous-auth argument is set to false.
Remediation: If using a Kubelet config file, edit the file to set authentication: anonymous: enabled to false. If using executable arguments, edit the kubelet service file /etc/systemd/system/kubelet.service.d/10-kubeadm.conf on each worker node and set the below parameter in KUBELET_SYSTEM_PODS_ARGS variable.
--anonymous-auth=false
Based on your system, restart the kubelet service. For example:
systemctl daemon-reload
systemctl restart kubelet.service
Audit:
/bin/ps -fC kubelet
Audit Config:
/bin/cat /var/lib/kubelet/config.yaml
Expected result:
'false' is equal to 'false'
2) Ensure that the --authorization-mode argument is set to Webhook.
Audit
docker inspect kubelet | jq -e '.[0].Args[] | match("--authorization-mode=Webhook").string' Returned Value: --authorization-mode=Webhook Fix all of the following violations that were found against the ETCD:- a. Ensure that the --auto-tls argument is not set to true Do not use self-signed certificates for TLS. etcd is a highly-available key value store used by Kubernetes deployments for persistent storage of all of its REST API objects. These objects are sensitive in nature and should not be available to unauthenticated clients. You should enable the client authentication via valid certificates to secure the access to the etcd service.
Fix - Buildtime
Kubernetes
apiVersion: v1
kind: Pod
metadata:
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ""
creationTimestamp: null
labels:
component: etcd
tier: control-plane
name: etcd
namespace: kube-system
spec:
containers:
- command:
+ - etcd
+ - --auto-tls=true
image: k8s.gcr.io/etcd-amd64:3.2.18
imagePullPolicy: IfNotPresent
livenessProbe:
exec:
command:
- /bin/sh
- -ec
- ETCDCTL_API=3 etcdctl --endpoints=https://[192.168.22.9]:2379 --cacert=/etc/kubernetes/pki/etcd/ca.crt
--cert=/etc/kubernetes/pki/etcd/healthcheck-client.crt --key=/etc/kubernetes/pki/etcd/healthcheck-client.key get foo failureThreshold: 8 initialDelaySeconds: 15 timeoutSeconds: 15 name: etcd-should-fail resources: {} volumeMounts:
- mountPath: /var/lib/etcd
name: etcd-data
- mountPath: /etc/kubernetes/pki/etcd
name: etcd-certs
hostNetwork: true
priorityClassName: system-cluster-critical
volumes:
- hostPath:
path: /var/lib/etcd
type: DirectoryOrCreate
name: etcd-data
- hostPath:
path: /etc/kubernetes/pki/etcd
type: DirectoryOrCreate
name: etcd-certs
status: {}
Explanation:
NEW QUESTION # 29
You are building a container image for your application that uses a third-party library. Describe the steps involved in scanning the third- party library for vulnerabilities before incorporating it into your image.
Answer:
Explanation:
Solution (Step by Step) :
1. Choose a Vulnerability Scanner:
- Select a vulnerability scanner that supports the language and dependencies of your third-pady library.
- Some popular options include:
- Snyk
- Aqua Security
- Anchore
- Trivy
2. Scan the Third-Party Library:
- Use the chosen vulnerability scanner to scan the third-pany library for known vulnerabilities.
- Provide the scanner with the library's source code, package manager lock file, or other relevant information.
3. Analyze the Scan Results:
- Review the scan results carefully.
- Identify any high-severity vulnerabilities reported by the scanner.
- Determine the impact of each vulnerability on your application's security.
4. Remediate Vulnerabilities:
- If any high-severity vulnerabilities are found, consider the following options:
- Update the Library: Check if a newer version of the library addresses tne vulnerabilities.
- Use a Different Library: If an updated version is not available or the vulnerabilities cannot be mitigated, consider using a different library.
- Apply Patcnes: If the vulnerabilities are in the code itself, apply patcnes to fix them.
- Accept the Risk: If the vulnerabilities are deemed low-risk or the impact is minimal, you may decide to accept the risk
5. Integrate Scanning into CI/CD Pipeline:
- Integrate the vulnerability scanning process into your continuous integration and continuous delivery (CI/CD) pipeline.
- This will ensure that the library is scanned automatically during each build process, providing early detection of vulnerabilities.
6. Example using Snyk:
- Install Snyk:
npm install snyk --global
- Scan the library:
snyk test --package-manager --package-name
- This command will scan the specified library for vulnerabilities.
- Remediate vulnerabilities:
snyk upgrade --package-manager --package-name
- This command will upgrade the library to the latest version that fixes the vulnerabilities.
NEW QUESTION # 30
Cluster: qa-cluster
Master node: master Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context qa-cluster
Task:
Create a NetworkPolicy named restricted-policy to restrict access to Pod product running in namespace dev.
Only allow the following Pods to connect to Pod products-service:
1. Pods in the namespace qa
2. Pods with label environment: stage, in any namespace
Answer:
Explanation:
$ k get ns qa --show-labels
NAME STATUS AGE LABELS
qa Active 47m env=stage
$ k get pods -n dev --show-labels
NAME READY STATUS RESTARTS AGE LABELS
product 1/1 Running 0 3s env=dev-team
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: restricted-policy
namespace: dev
spec:
podSelector:
matchLabels:
env: dev-team
policyTypes:
- Ingress
ingress:
- from:
- namespaceSelector:
matchLabels:
env: stage
- podSelector:
matchLabels:
env: stage
[desk@cli] $ k get ns qa --show-labels
NAME STATUS AGE LABELS
qa Active 47m env=stage
[desk@cli] $ k get pods -n dev --show-labels
NAME READY STATUS RESTARTS AGE LABELS
product 1/1 Running 0 3s env=dev-team
[desk@cli] $ vim netpol2.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: restricted-policy
namespace: dev
spec:
podSelector:
matchLabels:
env: dev-team
policyTypes:
- Ingress
ingress:
- from:
- namespaceSelector:
matchLabels:
env: stage
- podSelector:
matchLabels:
env: stage
[desk@cli] $ k apply -f netpol2.yaml Reference: https://kubernetes.io/docs/concepts/services-networking/network-policies/
[desk@cli] $ k apply -f netpol2.yaml Reference: https://kubernetes.io/docs/concepts/services-networking/network-policies/
NEW QUESTION # 31
You must complete this task on the following cluster/nodes:
Cluster: apparmor
Master node: master
Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context apparmor
Given: AppArmor is enabled on the worker1 node.
Task:
On the worker1 node,
1. Enforce the prepared AppArmor profile located at: /etc/apparmor.d/nginx
2. Edit the prepared manifest file located at /home/cert_masters/nginx.yaml to apply the apparmor profile
3. Create the Pod using this manifest
Answer:
Explanation:
[desk@cli] $ ssh worker1
[worker1@cli] $apparmor_parser -q /etc/apparmor.d/nginx
[worker1@cli] $aa-status | grep nginx
nginx-profile-1
[worker1@cli] $ logout
[desk@cli] $vim nginx-deploy.yaml
Add these lines under metadata:
annotations: # Add this line
container.apparmor.security.beta.kubernetes.io/<container-name>: localhost/nginx-profile-1
[desk@cli] $kubectl apply -f nginx-deploy.yaml
Explanation
[desk@cli] $ ssh worker1
[worker1@cli] $apparmor_parser -q /etc/apparmor.d/nginx
[worker1@cli] $aa-status | grep nginx
nginx-profile-1
[worker1@cli] $ logout
[desk@cli] $vim nginx-deploy.yaml
[desk@cli] $kubectl apply -f nginx-deploy.yaml pod/nginx-deploy created Reference: https://kubernetes.io/docs/tutorials/clusters/apparmor/ pod/nginx-deploy created
[desk@cli] $kubectl apply -f nginx-deploy.yaml pod/nginx-deploy created Reference: https://kubernetes.io/docs/tutorials/clusters/apparmor/
NEW QUESTION # 32
You are working on a Kubernetes cluster and need to analyze the security posture of a user workload running within a container image. The image is built from a Dockefflle tnat pulls code from a public GitHub repository. You need to identify potential security vulnerabilities in the codebase using a static analysis tool.
Answer:
Explanation:
Solution (Step by Step) :
1. Identify the Code Repository:
- Access the public GitHub repository where the source code for the user workload resides.
2. Install KubeLinter:
- Use 'pip install kube-linter' to install KubeLinter on your machine.
3. Configure KubeLinter:
- Create a configuration file for KubeLinter (e.g., 'kube-linter.yaml') with the following content:
4. Run KubeLinter. - Execute the following command to analyze the source code: bash kube-linter --config kube-linter.yaml --path - Replace '/path/to/your/repository/' with the actual path to the GitHub repository's codebase. 5. Analyze the Results: - KubeLinter will output a report highlighting potential security vulnerabilities, coding best practices violations, and other issues detected in the codebase. - Review the findings carefully and prioritize remediation actions based on the severity and impact of the vulnerabilities.
NEW QUESTION # 33
......
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