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| Section | Weight | Objectives |
|---|---|---|
| Supply Chain Security | 20% | - Use static analysis tools to detect vulnerabilities - Use distroless images for static workload - Understand image security scanning and its workflow - Minimize base image footprint - Understand the container build process - Understand the software supply chain best practices - Sign container images and verify signatures - Use image admission controllers to prevent use of untrusted images |
| Cluster Setup | 10% | - Use Pod Security Policies to control security-related pod behaviors - Use role-based access control (RBAC) to minimize exposure - Use Cis benchmarks to check Kubernetes cluster settings - Understand the security implications of embedding cloud provider flags - Manage sensitive information in clusters - Implement Pod-to-Pod encryption using mTLS or WireGuard - Configure TLS certificates and minimum version for etcd |
| Minimize Microservice Vulnerabilities | 20% | - Use AppArmor or seccomp profiles to constrain container behavior - Use PSP to enforce security controls - Configure network policies for namespace isolation - Use OPA Gatekeeper to enforce security controls - Set appropriate security contexts for pods and containers - Understand the principle of immutable containers |
| Monitoring, Logging, and Runtime Security | 20% | - Falco - container security monitoring and threat detection - Detect threats at the container level - Minimize the attack surface using container health indicators - Understand and monitor network traffic - Audit and detect logs and events for anomalies - Perform behavioral analytics to detect malicious activity |
| System Hardening | 15% | - Enable audit logging - Understand the concept of OPA (Open Policy Agent) and Gatekeeper - Modify host components to improve security - Kernel defaults and parameters using sysctl |
| Cluster Hardening | 15% | - Minimize admission of containers with sharing the host network namespace - Minimize admission of containers with raw block devices - Minimize admission of containers with hostPath volumes - Minimize admission of containers without seccomp profiles - Minimize admission of containers with added capabilities - Minimize admission of containers without AppArmor profile - Minimize admission of containers that allow host namespaces - Minimize admission of containers with capabilities assigned - Minimize admission of containers with allowPrivilegeEscalation - Minimize admission of containers without a security context - Minimize admission of privileged containers - Minimize admission of containers with sharing the host IPC namespace - Minimize admission of containers with sharing the host process namespace - Minimize admission of containers with FlexVolume volumes |
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NEW QUESTION # 26
SIMULATION
use the Trivy to scan the following images,
1. amazonlinux:1
2. k8s.gcr.io/kube-controller-manager:v1.18.6
Look for images with HIGH or CRITICAL severity vulnerabilities and store the output of the same in /opt/trivy-vulnerable.txt
Answer: A
NEW QUESTION # 27
You are running a web application in a Kubernetes cluster using a Deployment named 'web-apps. The application is vulnerable to a known CVE that can be exploited through tne web server. You need to implement a security policy to prevent pods from accessing the vulnerable web server port.
Answer:
Explanation:
Solution (Step by Step) :
1. Identity the vulnerable port:
- For this example, assume the vulnerable port is 8080.
2. Create a Securitycontext for the web server:
3. Apply the updated Deployment: bash kubectl apply -f web-app-deployment.yaml - The 'securityContext' is used to restrict the capabilities of the container. - 'drop: ["NET BIND SERVICET prevents the container from binding to ports below 1024 (including port 8080). - This policy will prevent pods from accessing the vulnerable web server port and mitigate the CVE. Important Notes: - You can adjust the 'drop' list to restrict other capabilities as needed. - You might need to redeploy the web application with a different port that is not restricted-
NEW QUESTION # 28
You are running a Kubernetes cluster in AWS with a workload that involves sensitive data processing. You suspect that some of your pods might be compromised and are leaking data to an external server. You need to identify the compromised pods and isolate them from the network. Explain the steps you would take to achieve this, including the tools and techniques you would use to monitor network traffic, identify suspicious activity, and isolate compromised pods.
Answer:
Explanation:
Solution (Step by Step):
1. Enable Network Policy: Start by enabling network policies in your Kubernetes cluster. This will restrict network traffic between pods based on predefined rules.
Implementation:
2. Monitor Network Traffic with tools like: Kubernetes Network Policy: Analyze the network policies configured on your cluster to identify any potentially suspicious traffic patterns. Kube-Proxy: Use 'kubectl proxy' to monitor the network traffic within your cluster. Observe incoming and outgoing traffic to identify any unusual patterns. Network Security Monitoring Tools: Consider using dedicated network security monitoring tools like Suricata, Zeek, or tcpdump for more comprehensive network analysis. Implementation: bash kubectl proxy --port=8001 # Start kubectl proxy # In a separate terminal, run the following command to view traffic to a specific pod: curl -v http://localhost.'8001/api/v1/namespaces/default/pods//proxy/ # Analyze the output to identify suspicious traffic. 3. Analyze Logs for Suspicious Activity: Kubernetes Logs: I-Ise tools like ' kubectl logs to inspect the logs of your pods, especially those related to data processing. Look for signs of unauthorized access, data exfiltration attempts, or unusual activity patterns. Security Logging: Configure your cluster to collect security-related events and logs in a centralized logging system like Elasticsearch, Fluentd, and Kibana (EFK) stack. Security Monitoring Tools: Employ tools like Falco or Auditd to actively monitor and analyze security-related events within your Kubernetes cluster. Implementation: bash kubectl logs -f # View logs of the pod 4. Isolate Compromised Pods: Network Segmentation: Use network policies to restrict the network access of suspected pods. Pod Disruption Budget (PDB): Ensure that your workload doesn't become unavailable during the isolation process. Service Disruption: If the compromised pod belongs to a service, consider temporarily removing it from the service's endpoint list to isolate the compromised service instance. Implementation:
5. Investigate and Remediate: Root Cause Analysis: Once the compromised pod is isolated, perform a thorough analysis to determine the cause of the compromise. This may involve examining system logs, network traffic, and potentially performing forensic analysis on the compromised pod Security Remediation: Address the root cause of the compromise by patching vulnerabilities, updating security configurations, and nardening your systems. Recovery and Restoration: If necessary, recover data that may have been leaked and restore your system to a secure state. Implementation: bash # Investigate the cause of the compromise: kubectl logs -f # Analyze the network traffic related to the pod using kubectl proxy and network monitoring tools. # Remediate the compromise: kubectl delete pod # Replace with the name of the compromised pod # Update security configurations # Patch vulnerabilities # Consider using a new container image with updated security measures # Restore data if necessary
NEW QUESTION # 29
SIMULATION
Given an existing Pod named nginx-pod running in the namespace test-system, fetch the service-account-name used and put the content in /candidate/KSC00124.txt Create a new Role named dev-test-role in the namespace test-system, which can perform update operations, on resources of type namespaces.
Create a new RoleBinding named dev-test-role-binding, which binds the newly created Role to the Pod's ServiceAccount ( found in the Nginx pod running in namespace test-system).
Answer: A
NEW QUESTION # 30
SIMULATION
Create a User named john, create the CSR Request, fetch the certificate of the user after approving it.
Create a Role name john-role to list secrets, pods in namespace john
Finally, Create a RoleBinding named john-role-binding to attach the newly created role john-role to the user john in the namespace john.
To Verify: Use the kubectl auth CLI command to verify the permissions.
Answer:
Explanation:
See explanation below
Explanation:
se kubectl to create a CSR and approve it.
Get the list of CSRs:
kubectl get csr
Approve the CSR:
kubectl certificate approve myuser
Get the certificate
Retrieve the certificate from the CSR:
kubectl get csr/myuser -o yaml
here are the role and role-binding to give john permission to create NEW_CRD resource:
kubectl apply -f roleBindingJohn.yaml --as=john
rolebinding.rbac.authorization.k8s.io/john_external-rosource-rb created kind: RoleBinding apiVersion: rbac.authorization.k8s.io/v1 metadata:
name: john_crd
namespace: development-john
subjects:
- kind: User
name: john
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: ClusterRole
name: crd-creation
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: crd-creation
rules:
- apiGroups: ["kubernetes-client.io/v1"]
resources: ["NEW_CRD"]
verbs: ["create, list, get"]
NEW QUESTION # 31
......
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