1. Login to the AWS console and navigate to the Route 53 service.
2. Click on the Hosted Zones option in the left-hand menu.
3. Select the hosted zone for which you want to restrict DNS access.
4. Click on the “Create Record Set” button to create a new record set.
5. In the “Name” field, enter the domain name for which you want to restrict DNS access.
6. In the “Type” field, select the appropriate DNS record type (such as A, CNAME, etc.).
7. In the “Value” field, enter the IP address or domain name of the resource that the DNS record should point to.
8. Scroll down to the “Routing Policy” section and select “Simple” routing policy.
9. In the “Alias” section, select “No” to disable the alias feature.
10. Click on the “Create” button to create the record set.

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1. Open the AWS CLI on your local machine.
2. Run the following command to list all the Route 53 hosted zones in your account:
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   Ask AI

   aws route53 list-hosted-zones
   

3. Identify the hosted zone that has unrestricted DNS access and make a note of its ID.
4. Run the following command to update the hosted zone to restrict DNS access:
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   Ask AI

   aws route53 update-hosted-zone-Comment \
   --id <hosted-zone-id> \
   --comment "Restricted DNS Access"
   

   Note: Replace <hosted-zone-id> with the ID of the hosted zone identified in step 3.
5. Run the following command to verify that the hosted zone has been updated:
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   Ask AI

   aws route53 get-hosted-zone \
   --id <hosted-zone-id>
   

   Note: Replace <hosted-zone-id> with the ID of the hosted zone identified in step 3.
6. Verify that the DNS access has been restricted by checking the DNS settings in the AWS Management Console. Note: The DNS access should now be restricted to authorized users only.

1. Connect to the AWS account using the Boto3 library in Python.
2. Get a list of all Route53 hosted zones using the list_hosted_zones() method.
3. For each hosted zone, get a list of all the record sets using the list_resource_record_sets() method.
4. Check each record set for any entries that have an empty or wildcard Name field and an A or CNAME record type.
5. If any such record sets are found, remove them using the change_resource_record_sets() method.

import boto3

# Connect to AWS account
client = boto3.client('route53')

# Get a list of all hosted zones
response = client.list_hosted_zones()
hosted_zones = response['HostedZones']

# Loop through each hosted zone
for zone in hosted_zones:
    zone_id = zone['Id']
    zone_name = zone['Name']

    # Get a list of all record sets in the zone
    response = client.list_resource_record_sets(HostedZoneId=zone_id)
    record_sets = response['ResourceRecordSets']

    # Loop through each record set
    for record_set in record_sets:
        # Check if the record set has an empty or wildcard name and an A or CNAME record type
        if (record_set['Name'] == '' or record_set['Name'].startswith('*.')) and \
           (record_set['Type'] == 'A' or record_set['Type'] == 'CNAME'):
            # Remove the record set
            change_batch = {
                'Changes': [
                    {
                        'Action': 'DELETE',
                        'ResourceRecordSet': record_set
                    }
                ]
            }
            client.change_resource_record_sets(HostedZoneId=zone_id, ChangeBatch=change_batch)