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Linux Foundation CKS(Certified Kubernetes Security Specialist)Certification Examは、Kubernetesセキュリティのコンセプトとベストプラクティスを熟知したいプロフェッショナル向けの高度に求められる認定試験です。CKS試験は、Kubernetesクラスタで実行されるコンテナ化されたアプリケーションを安全にする能力をテストするように設計されています。Kubernetesアーキテクチャ、セキュリティ原則、ベストプラクティスに深い理解が必要な上級レベルの認定試験です。
Linux Foundation CKS(Certified Kubernetes Security Specialist)試験は、Kubernetesセキュリティに特化したプロフェッショナルの知識とスキルをテストするために設計された認定プログラムです。Kubernetesは人気のあるオープンソースのコンテナオーケストレーションシステムであり、その使用が増えるにつれて、熟練したKubernetesセキュリティスペシャリストの必要性も高まっています。CKS試験は、Kubernetes環境をセキュリティ強化する専門家の専門知識を認定する業界承認の認定資格です。
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質問 # 48
You are running a highly sensitive application in your Kubernetes cluster, which stores personal identifiable information (PII) dat
a. You suspect that a malicious actor might have injected a malicious container image into your cluster and is now attempting to exfiltrate this data. You need to implement a solution to detect and prevent any suspicious data exfiltration attempts from within your cluster.
正解:
解説:
Solution (Step by Step):
1. Enable Container Security Policies (CSP) with Admission Control:
- Configure a CSP policy using the 'PodSecurityPolicy' or the newer 'PodSecurity' object.
- Restrict network egress for containers running your sensitive application to only allow communication to approved external services and destinations.
- Define rules within the CSP policy tnat disallow any container from accessing privileged ports or using privileged capabilities. This will limit the
attackers ability to establish unauthorized connections or manipulate system resources.
- Example CSP policy With 'P0dSecurity'
2. Implement Network Policies: - Configure network policies to restrict outbound network traffic from pods running tne sensitive application. - Allow only specific ports and destinations required tor the application's functionality. - This step helps prevent any unauthorized connections from the compromised container to external networks. - Example Network Policy:
3. Deploy Intrusion Detection Systems (IDS) in the Cluster: - Deploy an IDS solution like Falco or Sysdig within your cluster. - Configure Falco to monitor for suspicious activities like file system modifications, network connections, or process executions that might indicate data exfiltration attempts. - Falco can trigger alerts and block malicious activities based on the defined rules. - Example Falco rule:
4. Utilize Runtime Security Tools: - Deploy a runtime security tool like Aqua Security, Twistlock, or Snyk. - These tools monitor running containers for suspicious behaviors and vulnerabilities. - They can enforce security policies, detect anomalies, and alen you about potential data breaches. - This helps you quickly identify compromised containers and take appropriate actions. 5. Implement Data Encryption and Access Control: - Encrypt the PII data stored in your Kubernetes cluster at rest and in transit - Utilize tools like Vault or KMS to manage and secure encryption keys. - Implement access control measures to limit access to sensitive data to authorized users and applications. - This minimizes the impact of a data breach even if the malicious container gains access to the data. By combining these security measures, you can significantly reduce the risk of data exfiltration and enhance the security posture of your sensitive application running in the Kubernetes cluster.
質問 # 49
You have a Kubernetes cluster with a custom admission controller that enforces certain security policies. You need to write a script that can be used to test the functionality of the admission controller by creating a Pod With specific properties that should be rejected by the controller.
正解:
解説:
Solution (Step by Step) :
1. Define tne admission controller policy:
- Assume the admission controller is configured to reject Pods that are not running in a specific namespace, like 'secure-namespace
2. Create a test Pod YAML file:
3. Write a Python script to create the Pod and check the result
4. Run the script: - Save the script as . - Execute the script using 'python test _ admission_controller.py' 5. Verify the results: - You should see the output indicating that the pod creation was rejected by the admission controller.
質問 # 50
You are tasked with securing a Kubernetes cluster that runs sensitive workloads. You need to implement a mechanism to enforce least privilege access for all pods in the cluster.
正解:
解説:
Solution (Step by Step) :
1. Create a Service Account with Limited Permissions:
- Create a new ServiceAccount with minimal permissions:
2. Create a Role with Limited Permissions: - Create a Role that only grants the necessary permissions for the pods:
3. Bind the Role to the Service Account: - Bind the Role to the ServiceAccount:
4. Configure PodS to use the Service Account - Update your Deployment YAML to use the ServiceAccount:
質問 # 51
SIMULATION
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://acme.local.8081/image_policy
1. Enable the admission plugin.
2. Validate the control configuration and change it to implicit deny.
Finally, test the configuration by deploying the pod having the image tag as the latest.
正解:A
質問 # 52
SIMULATION
Create a PSP that will only allow the persistentvolumeclaim as the volume type in the namespace restricted.
Create a new PodSecurityPolicy named prevent-volume-policy which prevents the pods which is having different volumes mount apart from persistentvolumeclaim.
Create a new ServiceAccount named psp-sa in the namespace restricted.
Create a new ClusterRole named psp-role, which uses the newly created Pod Security Policy prevent-volume-policy Create a new ClusterRoleBinding named psp-role-binding, which binds the created ClusterRole psp-role to the created SA psp-sa.
Hint:
Also, Check the Configuration is working or not by trying to Mount a Secret in the pod maifest, it should get failed.
POD Manifest:
apiVersion: v1
kind: Pod
metadata:
name:
spec:
containers:
- name:
image:
volumeMounts:
- name:
mountPath:
volumes:
- name:
secret:
secretName:
正解:
解説:
See the Explanation belowExplanation:
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
name: restricted
annotations:
seccomp.security.alpha.kubernetes.io/allowedProfileNames: 'docker/default,runtime/default' apparmor.security.beta.kubernetes.io/allowedProfileNames: 'runtime/default' seccomp.security.alpha.kubernetes.io/defaultProfileName: 'runtime/default' apparmor.security.beta.kubernetes.io/defaultProfileName: 'runtime/default' spec:
privileged: false
# Required to prevent escalations to root.
allowPrivilegeEscalation: false
# This is redundant with non-root + disallow privilege escalation,
# but we can provide it for defense in depth.
requiredDropCapabilities:
- ALL
# Allow core volume types.
volumes:
- 'configMap'
- 'emptyDir'
- 'projected'
- 'secret'
- 'downwardAPI'
# Assume that persistentVolumes set up by the cluster admin are safe to use.
- 'persistentVolumeClaim'
hostNetwork: false
hostIPC: false
hostPID: false
runAsUser:
# Require the container to run without root privileges.
rule: 'MustRunAsNonRoot'
seLinux:
# This policy assumes the nodes are using AppArmor rather than SELinux.
rule: 'RunAsAny'
supplementalGroups:
rule: 'MustRunAs'
ranges:
# Forbid adding the root group.
- min: 1
max: 65535
fsGroup:
rule: 'MustRunAs'
ranges:
# Forbid adding the root group.
- min: 1
max: 65535
readOnlyRootFilesystem: false
質問 # 53
......
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さらに、Jpshiken CKSダンプの一部が現在無料で提供されています:https://drive.google.com/open?id=1f52U3Y_Pi_gigfB5qVFchFVKFTY2Ud0V