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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: System Hardening | 15% | - Kernel and node security configuration - Host security controls |
| Topic 2: Cluster Hardening | 15% | - Authentication and authorization - API server security |
| Topic 3: Cluster Setup | 15% | - Hardening cluster components - Secure installation configuration |
| Topic 4: Minimizing Microservice Vulnerabilities | 20% | - Pod security standards - Container isolation and security contexts |
| Topic 5: Monitoring, Logging and Runtime Security | 15% | - Audit logging and monitoring - Runtime threat detection |
| Topic 6: Supply Chain Security | 20% | - Image scanning and verification - Secure CI/CD practices |
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NEW QUESTION # 12
You are responsible for hardening a Kubernetes cluster hosting sensitive financial data. One of the key security concerns is preventing data exfiltration. How can you use Kubernetes Network Policy to enforce network isolation and prevent unauthorized data access?
Answer:
Explanation:
Solution (Step by Step) :
1. Define the network policy rules:
- Identify tne pods that contain sensitive data and the services they interact with. Use labels to identify these pods and services.
- Create network policies that restrict communication between these pods and the outside world. These policies should only allow traffic from authorized sources, such as internal services or authorized user applications.
2. Create the network policy:
- Define the policy using the 'kubectl apply' command. The policy should specify the target pods, allowed ingress and egress traffic, and the allowed ports and protocols.
3. Deploy the network policy:
- Apply the network policy to the cluster. The policy will be enforced by the Kubemetes network plugin.
Example network policy:
This policy restricts the communication of pods with the label Sapp: financial-data' to only internal services with the label Sapp: internal-service' and to specific IP addresses in the range ' 10.0.0.0/16'. This helps prevent data exfiltration by restricting access to external services or unauthorized clients.
NEW QUESTION # 13
You are building a microservice architecture on Kubernetes- You are using Docker images from a public registry for your applications. One of the microservices is responsible for managing sensitive user data. To minimize the base image footprint and enhance security, you need to create a custom base image that iS as minimal as possible while still containing the required dependencies for your service.
What are the steps you would take to create a custom base image for this microservice? How would you ensure the custom base image is secure, and how would you incorporate it into your deployment process? Provide a step-by-step guide with code examples.
Answer:
Explanation:
Solution (Step by Step) :
1. Choose a Minimal Base Image:
- Select a base image like Alpine Linux, which is known for its small size and security features.
- Use a multi-stage build to minimize the size of the final image.
- Example:
docket-file
FROM alpine:3.16 as builder
# Install required dependencies
RUN apk update && apk add --no-cache python3 python3-dev build-base
2. Security Best Practices: - Use a non-root user inside the container. - Enable security options in your Dockerfile like '-no-cache' to minimize potential vulnerabilities. - Harden the base image: - Remove unnecessary packages and services. - Disable unnecessary pons and protocols. - Set appropriate permissions for files and directories. - Example: dockeflle FROM alpine:3.16 as builder USER nonrootuser RUN apk update && apk add 0--no-cache python3 python3-dev build-base # ... rest of the Dockerfile 3. Deployment Process: - Build the custom base image. - Push the base image to a private registry. - Update the deployment YAML file to use the new base image. - Example:
4. Testing and Monitoring: - Regularly scan the base image for vulnerabilities. - Monitor the container for suspicious activity - Employ security tools like Falco and Clair-
NEW QUESTION # 14
You can switch the cluster/configuration context using the following command: [desk@cli] $ kubectl config use-context qa Context: A pod fails to run because of an incorrectly specified ServiceAccount Task: Create a new service account named backend-qa in an existing namespace qa, which must not have access to any secret. Edit the frontend pod yaml to use backend-qa service account Note: You can find the frontend pod yaml at /home/cert_masters/frontend-pod.yaml
Answer:
Explanation:
[desk@cli] $ k create sa backend-qa -n qa sa/backend-qa created [desk@cli] $ k get role,rolebinding -n qa No resources found in qa namespace. [desk@cli] $ k create role backend -n qa --resource pods,namespaces,configmaps --verb list # No access to secret [desk@cli] $ k create rolebinding backend -n qa --role backend --serviceaccount qa:backend-qa [desk@cli] $ vim /home/cert_masters/frontend-pod.yaml apiVersion: v1 kind: Pod metadata:
name: frontend
spec:
serviceAccountName: backend-qa # Add this
image: nginx
name: frontend
[desk@cli] $ k apply -f /home/cert_masters/frontend-pod.yaml pod created
[desk@cli] $ k create sa backend-qa -n qa serviceaccount/backend-qa created [desk@cli] $ k get role,rolebinding -n qa No resources found in qa namespace. [desk@cli] $ k create role backend -n qa --resource pods,namespaces,configmaps --verb list role.rbac.authorization.k8s.io/backend created [desk@cli] $ k create rolebinding backend -n qa --role backend --serviceaccount qa:backend-qa rolebinding.rbac.authorization.k8s.io/backend created [desk@cli] $ vim /home/cert_masters/frontend-pod.yaml apiVersion: v1 kind: Pod metadata:
name: frontend
spec:
serviceAccountName: backend-qa # Add this
image: nginx
name: frontend
[desk@cli] $ k apply -f /home/cert_masters/frontend-pod.yaml pod/frontend created https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
NEW QUESTION # 15
Context
AppArmor is enabled on the cluster's worker node. An AppArmor profile is prepared, but not enforced yet.
Task
On the cluster's worker node, enforce the prepared AppArmor profile located at /etc/apparmor.d/nginx_apparmor.
Edit the prepared manifest file located at /home/candidate/KSSH00401/nginx-pod.yaml to apply the AppArmor profile.
Finally, apply the manifest file and create the Pod specified in it.
Answer:
Explanation:
NEW QUESTION # 16
You can switch the cluster/configuration context using the following command: [desk@cli] $ kubectl config use-context test-account Task: Enable audit logs in the cluster.
To do so, enable the log backend, and ensure that:
1. logs are stored at /var/log/Kubernetes/logs.txt
2. log files are retained for 5 days
3. at maximum, a number of 10 old audit log files are retained
A basic policy is provided at /etc/Kubernetes/logpolicy/audit-policy.yaml. It only specifies what not to log. Note: The base policy is located on the cluster's master node.
Edit and extend the basic policy to log: 1. Nodes changes at RequestResponse level 2. The request body of persistentvolumes changes in the namespace frontend 3. ConfigMap and Secret changes in all namespaces at the Metadata level Also, add a catch-all rule to log all other requests at the Metadata level Note: Don't forget to apply the modified policy.
Answer:
Explanation:
$ vim /etc/kubernetes/log-policy/audit-policy.yaml
- level: RequestResponse
userGroups: ["system:nodes"]
- level: Request
resources:
- group: "" # core API group
resources: ["persistentvolumes"]
namespaces: ["frontend"]
- level: Metadata
resources:
- group: ""
resources: ["configmaps", "secrets"]
- level: Metadata
$ vim /etc/kubernetes/manifests/kube-apiserver.yaml Add these
- --audit-policy-file=/etc/kubernetes/log-policy/audit-policy.yaml
- --audit-log-path=/var/log/kubernetes/logs.txt
- --audit-log-maxage=5
- --audit-log-maxbackup=10
Explanation
[desk@cli] $ ssh master1 [master1@cli] $ vim /etc/kubernetes/log-policy/audit-policy.yaml apiVersion: audit.k8s.io/v1 # This is required.
kind: Policy
# Don't generate audit events for all requests in RequestReceived stage.
omitStages:
- "RequestReceived"
rules:
# Don't log watch requests by the "system:kube-proxy" on endpoints or services
- level: None
users: ["system:kube-proxy"]
verbs: ["watch"]
resources:
- group: "" # core API group
resources: ["endpoints", "services"]
# Don't log authenticated requests to certain non-resource URL paths.
- level: None
userGroups: ["system:authenticated"]
nonResourceURLs:
- "/api*" # Wildcard matching.
- "/version"
# Add your changes below
- level: RequestResponse
userGroups: ["system:nodes"] # Block for nodes
- level: Request
resources:
- group: "" # core API group
resources: ["persistentvolumes"] # Block for persistentvolumes
namespaces: ["frontend"] # Block for persistentvolumes of frontend ns
- level: Metadata
resources:
- group: "" # core API group
resources: ["configmaps", "secrets"] # Block for configmaps & secrets
- level: Metadata # Block for everything else
[master1@cli] $ vim /etc/kubernetes/manifests/kube-apiserver.yaml
apiVersion: v1
kind: Pod
metadata:
annotations:
kubeadm.kubernetes.io/kube-apiserver.advertise-address.endpoint: 10.0.0.5:6443 labels:
component: kube-apiserver
tier: control-plane
name: kube-apiserver
namespace: kube-system
spec:
containers:
- command:
- kube-apiserver
- --advertise-address=10.0.0.5
- --allow-privileged=true
- --authorization-mode=Node,RBAC
- --audit-policy-file=/etc/kubernetes/log-policy/audit-policy.yaml #Add this
- --audit-log-path=/var/log/kubernetes/logs.txt #Add this
- --audit-log-maxage=5 #Add this
- --audit-log-maxbackup=10 #Add this
...
output truncated
Note: log volume & policy volume is already mounted in vim /etc/kubernetes/manifests/kube-apiserver.yaml so no need to mount it. Reference: https://kubernetes.io/docs/tasks/debug-application-cluster/audit/
NEW QUESTION # 17
......
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