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Event Information

  1. The v1.compute.autoscalers.delete event in GCP for Compute indicates that an autoscaler has been deleted in the specified project or region.
  2. This event signifies that the autoscaler, which automatically adjusts the number of instances in a managed instance group based on specified criteria, has been removed from the system.
  3. It is important to note that deleting an autoscaler will stop any scaling activities associated with it, and the managed instance group will no longer be automatically adjusted based on the defined scaling policies.

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Examples

  1. Unauthorized deletion of autoscalers: If security is impacted with v1.compute.autoscalers.delete in GCP for Compute, it could potentially allow unauthorized users or malicious actors to delete autoscalers. This could disrupt the auto-scaling functionality of the application, leading to performance issues or downtime.

  2. Data loss or exposure: Deleting autoscalers without proper authorization could result in the loss or exposure of sensitive data. Autoscalers are often used to manage the scaling of resources based on demand, and deleting them without proper controls could lead to data loss or unauthorized access to sensitive information.

  3. Service disruption: Deleting autoscalers without proper authorization could cause service disruption by affecting the availability and performance of the application. Autoscalers play a crucial role in ensuring that the application can handle varying levels of traffic and workload. Unauthorized deletion could result in service interruptions or degraded performance.

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Remediation

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Using Console

To remediate the issues mentioned in the previous response for GCP Compute using the GCP console, you can follow these step-by-step instructions:

  1. Enable VPC Flow Logs:

    • Go to the GCP Console and navigate to the VPC network page.
    • Select the VPC network where you want to enable flow logs.
    • Click on “Edit” at the top of the page.
    • Scroll down to the “Flow logs” section and click on “Enable flow logs”.
    • Configure the desired flow log settings, such as the filter, destination, and sampling rate.
    • Click on “Save” to enable flow logs for the selected VPC network.

  2. Enable CloudTrail for GCP:

    • Go to the GCP Console and navigate to the CloudTrail page.
    • Click on “Create a new trail” to create a new CloudTrail configuration.
    • Provide a name for the trail and select the desired GCP project.
    • Choose the services for which you want to enable CloudTrail logging.
    • Configure the storage settings, such as the bucket name and object prefix.
    • Optionally, enable log file validation and data events.
    • Click on “Create” to enable CloudTrail for the selected GCP project.

  3. Enable Security Center for GCP:

    • Go to the GCP Console and navigate to the Security Command Center page.
    • Click on “Enable Security Command Center” to enable Security Center for the selected GCP project.
    • Wait for the Security Command Center to be enabled.
    • Once enabled, navigate to the Security Command Center dashboard.
    • Review the security findings and recommendations provided by Security Center.
    • Take necessary actions to remediate the identified security issues based on the recommendations.

Note: The exact steps and options may vary slightly depending on the current version of the GCP Console and the specific configuration requirements. It is always recommended to refer to the official GCP documentation for the most up-to-date instructions.

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Using CLI

To remediate the issues mentioned in the previous response for GCP Compute using GCP CLI, you can follow these steps:

  1. Disable SSH access for the default service account:

    • Use the following command to get the email address of the default service account: 
      gcloud iam service-accounts list --filter="displayName:Compute Engine default service account"
    • Once you have the email address, use the following command to remove the roles associated with SSH access: 
      gcloud projects remove-iam-policy-binding PROJECT_ID --member=serviceAccount:EMAIL_ADDRESS --role=roles/compute.osLogin

  2. Enable VPC Flow Logs for network monitoring:

    • Use the following command to enable VPC Flow Logs for a specific subnet: 
      gcloud compute networks subnets update SUBNET_NAME --region=REGION --enable-flow-logs

  3. Restrict public access to Cloud Storage buckets:

    • Use the following command to update the bucket ACL and remove all public access: 
      gsutil iam ch allUsers:legacyObjectReader gs://BUCKET_NAME

Please note that you need to replace the placeholders (PROJECT_ID, EMAIL_ADDRESS, SUBNET_NAME, REGION, and BUCKET_NAME) with the actual values specific to your GCP environment.

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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)