V1.compute.urlmaps.insert remediation

​

Event Information

• The v1.compute.urlMaps.insert event in GCP for Compute refers to the creation of a URL map in the Google Cloud Platform’s Compute Engine service.
• This event occurs when a user or an automated process initiates the creation of a URL map, which is used to route incoming requests to the appropriate backend services or resources.
• The event signifies the start of the URL map creation process and can be used to track and monitor the provisioning of URL maps in GCP Compute Engine.

​

Examples

1. Unauthorized access: If security is impacted with v1.compute.urlMaps.insert in GCP for Compute, it could potentially allow unauthorized users to insert or modify URL maps. This can lead to unauthorized access to resources or sensitive information.

2. Data breaches: Insecure usage of v1.compute.urlMaps.insert can result in data breaches. Attackers may exploit vulnerabilities in the URL maps to gain access to sensitive data or manipulate the routing of traffic, potentially exposing confidential information.

3. Denial of Service (DoS) attacks: Security issues with v1.compute.urlMaps.insert can also lead to DoS attacks. Attackers may manipulate the URL maps to redirect or block legitimate traffic, causing service disruptions and impacting the availability of resources.

​

Remediation

​

Using Console

1. Enable VPC Flow Logs:

• Go to the GCP Console and navigate to the VPC network where the Compute instances are located.
• Select the subnet(s) associated with the Compute instances.
• Click on “Edit” to modify the subnet configuration.
• Scroll down to the “Flow logs” section and click on “Enable flow logs”.
• Configure the desired flow log settings, such as the log destination and filter.
• Click on “Save” to enable VPC flow logs for the selected subnet(s).

2. Implement Network Security Groups:

• Go to the GCP Console and navigate to the VPC network where the Compute instances are located.
• Select the subnet(s) associated with the Compute instances.
• Click on “Edit” to modify the subnet configuration.
• Scroll down to the “Firewall rules” section and click on “Add firewall rule”.
• Configure the necessary firewall rule(s) to restrict inbound and outbound traffic based on the desired security requirements.
• Click on “Save” to apply the firewall rule(s) to the selected subnet(s).

3. Implement Identity and Access Management (IAM) Roles:

• Go to the GCP Console and navigate to the IAM & Admin section.
• Click on “IAM” to manage IAM roles and permissions.
• Identify the relevant IAM roles that need to be assigned to the Compute instances.
• Click on “Add” to add a new IAM role assignment.
• Select the desired Compute instances or instance groups.
• Choose the appropriate IAM role(s) from the available options.
• Click on “Save” to apply the IAM role(s) to the selected Compute instances.

​

Using CLI

1. Enable VPC Flow Logs for GCP Compute instances:

   • Use the gcloud compute instances update command to enable VPC Flow Logs for a specific instance:

     gcloud compute instances update INSTANCE_NAME --enable-network-endpoint-logging
     

2. Restrict SSH access to GCP Compute instances:

   • Use the gcloud compute firewall-rules update command to update the firewall rule for SSH access:

     gcloud compute firewall-rules update FIREWALL_RULE_NAME --source-ranges=IP_RANGE --allow=tcp:22
     

3. Implement disk encryption for GCP Compute instances:

   • Use the gcloud compute disks create command to create an encrypted disk:

     gcloud compute disks create DISK_NAME --size=SIZE --type=DISK_TYPE --encryption-key=KEY_NAME
     

​

Using Python

To remediate the issues mentioned in the previous response for GCP Compute using Python, you can use the following approaches:

1. Enforce secure OS configurations:

   • Use the google-cloud-sdk library to retrieve the list of GCP Compute instances.
   • Iterate through each instance and check the OS configuration settings.
   • Use the googleapiclient library to update the instance settings and enforce secure configurations.
   • Example Python script:

     from google.cloud import compute_v1
     
     def enforce_secure_os_config(project_id):
         compute_client = compute_v1.InstancesClient()
         instances = compute_client.list(project=project_id)
         
         for instance in instances:
             # Check OS configuration settings
             if instance.os_config.secure_boot == False:
                 # Update instance settings to enforce secure boot
                 instance.os_config.secure_boot = True
                 compute_client.update(project=project_id, instance=instance)
     

2. Implement network security controls:

   • Use the google-cloud-sdk library to retrieve the list of GCP Compute instances.
   • Iterate through each instance and check the network security controls.
   • Use the googleapiclient library to update the instance settings and implement necessary network security controls.
   • Example Python script:

     from google.cloud import compute_v1
     
     def implement_network_security_controls(project_id):
         compute_client = compute_v1.InstancesClient()
         instances = compute_client.list(project=project_id)
         
         for instance in instances:
             # Check network security controls
             if instance.network_config.firewall_rules == []:
                 # Add necessary firewall rules
                 firewall_rule = compute_v1.FirewallRule(...)
                 compute_client.insert(project=project_id, firewall_rule=firewall_rule)
     

3. Enable logging and monitoring:

   • Use the google-cloud-sdk library to retrieve the list of GCP Compute instances.
   • Iterate through each instance and enable logging and monitoring.
   • Use the googleapiclient library to update the instance settings and enable necessary logging and monitoring.
   • Example Python script:

     from google.cloud import compute_v1
     
     def enable_logging_and_monitoring(project_id):
         compute_client = compute_v1.InstancesClient()
         instances = compute_client.list(project=project_id)
         
         for instance in instances:
             # Enable logging and monitoring
             instance.logging_config.enable = True
             instance.monitoring_config.enable = True
             compute_client.update(project=project_id, instance=instance)