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Event Information

  1. The v1.compute.targetHttpProxies.patch event in GCP for Compute refers to a modification or update made to a target HTTP proxy resource in the Google Cloud Platform.

  2. This event indicates that changes have been made to the configuration of a target HTTP proxy, which is responsible for forwarding HTTP or HTTPS traffic to a backend service or a URL map in GCP.

  3. The event can be triggered when modifications are made to properties such as the URL map associated with the target HTTP proxy, the SSL policy, or other settings related to the proxy’s behavior and routing of traffic.

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Examples

  1. Unauthorized access: If security is impacted with v1.compute.targetHttpProxies.patch in GCP for Compute, it could potentially allow unauthorized access to the target HTTP proxies. This could lead to unauthorized users gaining control over the proxies and potentially intercepting or modifying the traffic flowing through them.

  2. Data breaches: A security impact of v1.compute.targetHttpProxies.patch in GCP for Compute could result in data breaches. If unauthorized access is gained to the target HTTP proxies, sensitive data transmitted through these proxies could be compromised. This could include personally identifiable information (PII), financial data, or any other sensitive information being transmitted over the network.

  3. Service disruption: Another security impact of v1.compute.targetHttpProxies.patch in GCP for Compute could be service disruption. If unauthorized access is gained to the target HTTP proxies, an attacker could potentially disrupt the normal operation of the proxies, leading to service outages or degraded performance. This could impact the availability and reliability of the applications or services relying on these proxies.

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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 above instructions assume that you have the necessary permissions and access to the GCP Console.

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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

Note: Replace PROJECT_ID with your GCP project ID, EMAIL_ADDRESS with the email address of the default service account, SUBNET_NAME with the name of the subnet, REGION with the region where the subnet is located, and BUCKET_NAME with the name of the Cloud Storage bucket.

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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)