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Event Information

  1. The dns.managedZones.delete event in GCP for CloudDNS indicates that a managed zone has been deleted in the Cloud DNS service.
  2. This event signifies that the DNS records and configurations associated with the deleted managed zone will no longer be available.
  3. It is important to note that deleting a managed zone is a permanent action and cannot be undone, so caution should be exercised before performing this operation.

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Examples

  • Unauthorized deletion: If an attacker gains access to the necessary credentials or privileges, they can use the dns.managedZones.delete method to delete managed zones in CloudDNS. This can result in the loss of DNS records and disrupt the availability of services relying on those records.

  • Data loss: Accidental or malicious use of the dns.managedZones.delete method without proper backups or safeguards in place can lead to permanent data loss. If critical DNS zones are deleted, it can take significant time and effort to restore the lost data and reconfigure DNS settings.

  • Service disruption: Deleting managed zones in CloudDNS can cause service disruption for applications and services that rely on DNS resolution. If DNS records are deleted, clients may not be able to resolve the IP addresses associated with the services, resulting in downtime or reduced availability.

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Remediation

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Using Console

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

  1. Enable DNSSEC for GCP CloudDNS:

    • Go to the GCP Console and navigate to the Cloud DNS page.
    • Select the DNS zone for which you want to enable DNSSEC.
    • Click on the “DNSSEC” tab.
    • Click on the “Enable DNSSEC” button.
    • Follow the instructions provided to complete the DNSSEC setup process.

  2. Implement DNS logging and monitoring for GCP CloudDNS:

    • Go to the GCP Console and navigate to the Cloud DNS page.
    • Select the DNS zone for which you want to enable logging and monitoring.
    • Click on the “Logs” tab.
    • Click on the “Enable Logging” button.
    • Configure the desired log sink destination, such as Cloud Storage or BigQuery.
    • Click on the “Enable Monitoring” button.
    • Configure the desired monitoring settings, such as alerting policies.
    • Click on the “Save” button to apply the changes.

  3. Implement DNS firewall rules for GCP CloudDNS:

    • Go to the GCP Console and navigate to the Cloud DNS page.
    • Select the DNS zone for which you want to implement firewall rules.
    • Click on the “Firewall Rules” tab.
    • Click on the “Add Rule” button.
    • Configure the desired firewall rule settings, such as source IP ranges and action.
    • Click on the “Save” button to apply the firewall rule.

Note: The exact steps may vary slightly depending on the GCP Console version and interface. It is recommended to refer to the official GCP documentation for detailed instructions.

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Using CLI

To remediate the issues in GCP CloudDNS using GCP CLI, you can follow these steps:

  1. Ensure proper IAM permissions:

    • Grant the necessary IAM roles to the user or service account executing the CLI commands.
    • Use the gcloud projects add-iam-policy-binding command to add IAM policies to the project.

  2. Implement DNSSEC for CloudDNS:

    • Enable DNSSEC for a managed zone using the gcloud dns managed-zones update command with the --dnssec-state flag set to on.
    • Sign the zone using the gcloud dns managed-zones dns-keys sign command.

  3. Enable logging and monitoring for CloudDNS:

    • Enable query logging for a managed zone using the gcloud dns managed-zones update command with the --enable-query-logging flag set to true.
    • Create a log sink using the gcloud logging sinks create command to export the logs to a desired destination.
    • Set up monitoring and alerting using Cloud Monitoring to receive notifications for DNS-related events.

Please note that the actual CLI commands may vary based on your specific requirements and configurations. Make sure to refer to the official GCP documentation for detailed instructions and syntax.

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Using Python

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

  1. Ensure DNSSEC is enabled:

    • Use the Google Cloud DNS Python client library to retrieve the DNSSEC state of a managed zone.
    • If DNSSEC is not enabled, use the same library to enable DNSSEC for the zone.
    • Here’s an example script:
    from google.cloud import dns

def enable_dnssec(project_id, zone_name):
    client = dns.Client(project=project_id)
    zone = client.zone(zone_name)
    zone.dnssec_state = dns.DnsSecState.ON
    zone.update()

# Usage
enable_dnssec('your-project-id', 'your-zone-name')

  2. Implement DNS logging:

    • Use the Google Cloud Logging Python client library to create a log sink for DNS logs.
    • Configure the log sink to export DNS logs to a desired destination (e.g., Cloud Storage, BigQuery, Pub/Sub).
    • Here’s an example script:
    from google.cloud import logging_v2

def create_dns_log_sink(project_id, sink_name, destination_uri):
    client = logging_v2.LoggingServiceV2Client()
    parent = f"projects/{project_id}"
    sink = {
        "name": sink_name,
        "destination": destination_uri,
        "filter": "logName:cloudaudit.googleapis.com%2Factivity AND protoPayload.methodName:dns",
    }
    client.create_sink(parent, sink)

# Usage
create_dns_log_sink('your-project-id', 'your-sink-name', 'your-destination-uri')

  3. Implement DNS query logging:

    • Use the Google Cloud Monitoring Python client library to create a metric for DNS query logs.
    • Configure the metric to collect and analyze DNS query logs.
    • Here’s an example script:
    from google.cloud import monitoring_v3

def create_dns_query_metric(project_id, metric_name):
    client = monitoring_v3.MetricServiceClient()
    project_name = f"projects/{project_id}"
    metric_descriptor = {
        "name": metric_name,
        "type": "logging.googleapis.com/user/your-metric-type",
        "metric_kind": monitoring_v3.MetricDescriptor.MetricKind.GAUGE,
        "value_type": monitoring_v3.MetricDescriptor.ValueType.DOUBLE,
        "unit": "1",
        "labels": [
            {
                "key": "resource_type",
                "value_type": "STRING",
                "description": "Type of the resource",
            },
        ],
    }
    client.create_metric_descriptor(project_name, metric_descriptor)

# Usage
create_dns_query_metric('your-project-id', 'your-metric-name')

Please note that you need to have the necessary permissions and authentication set up to execute these scripts successfully.