1. Sign in to the AWS Management Console and open the Route 53 service.
2. In the Route 53 dashboard, click on “Hosted zones” in the left sidebar.
3. Select the hosted zone that contains the misconfigured CNAME record.
4. In the hosted zone details, locate the CNAME record that points to the S3 bucket.
5. Click on the checkbox next to the CNAME record to select it.
6. Click on the “Actions” button above the record list and select “Edit record set” from the dropdown menu.
7. In the “Edit record set” dialog box, you will see the CNAME record details.
8. Change the value of the “Alias” field to “No” to remove the CNAME alias.
9. In the “Value” field, enter the actual endpoint or domain name of the S3 bucket that the CNAME record was pointing to.
10. Click on the “Save Record Set” button to save the changes.

​

1. Open the AWS Management Console and go to the Route53 service.
2. Select the hosted zone where the vulnerable CNAME record is located.
3. Identify the CNAME record that is pointing to an S3 bucket.

1. Open the AWS Management Console and go to the VPC service.
2. Select the VPC where your S3 bucket is located.
3. Click on “Endpoints” in the left sidebar.
4. Click on “Create Endpoint” and select com.amazonaws.<region>.s3 as the service name.
5. Choose the relevant route table and security groups.
6. Click on “Create Endpoint” to create the S3 endpoint.

1. Open the AWS CLI on your local machine.
2. Run the following command to update the CNAME record:

aws route53 change-resource-record-sets --hosted-zone-id <hosted-zone-id> --change-batch '{
  "Changes": [
    {
      "Action": "UPSERT",
      "ResourceRecordSet": {
        "Name": "<cname-record-name>",
        "Type": "CNAME",
        "TTL": 300,
        "ResourceRecords": [
          {
            "Value": "<s3-endpoint-domain>"
          }
        ]
      }
    }
  ]
}'

1. Wait for the changes to propagate, which may take a few minutes.
2. Use the following command to check the status of the change:

aws route53 get-change --id <change-id>

1. Install the required dependencies:
   • boto3: AWS SDK for Python
   • dnspython: DNS toolkit for Python
   You can use the following command to install them:
   pip install boto3 dnspython
   
2. Import the necessary modules in your Python script:
   import boto3
   import dns.resolver
   
3. Create a function to check for vulnerable CNAME records:
   def check_vulnerable_cname(domain):
       try:
           resolver = dns.resolver.Resolver()
           cname_records = resolver.query(domain, 'CNAME')
           for record in cname_records:
               if record.target.to_text().endswith('.s3.amazonaws.com.'):
                   print(f'{domain} has a vulnerable CNAME record pointing to {record.target.to_text()}')
       except dns.resolver.NXDOMAIN:
           print(f'{domain} does not exist')
       except dns.resolver.NoAnswer:
           print(f'{domain} does not have any CNAME records')
   
4. Create a function to fix the vulnerable CNAME records:
   def fix_vulnerable_cname(domain):
       try:
           client = boto3.client('route53')
           hosted_zones = client.list_hosted_zones_by_name(DNSName=domain)
           for zone in hosted_zones['HostedZones']:
               zone_id = zone['Id']
               records = client.list_resource_record_sets(HostedZoneId=zone_id)
               for record in records['ResourceRecordSets']:
                   if record['Type'] == 'CNAME' and record['ResourceRecords'][0]['Value'].endswith('.s3.amazonaws.com.'):
                       record['ResourceRecords'][0]['Value'] = '<new_value>'
                       client.change_resource_record_sets(
                           HostedZoneId=zone_id,
                           ChangeBatch={
                               'Changes': [
                                   {
                                       'Action': 'UPSERT',
                                       'ResourceRecordSet': record
                                   }
                               ]
                           }
                       )
                       print(f'Successfully fixed CNAME record in {zone["Name"]}')
       except Exception as e:
           print(f'Error: {str(e)}')
   
   Note: Replace <new_value> with the desired value for the CNAME record.
5. Call the functions with the domain you want to check and fix:
   domain = '<your_domain>'
   check_vulnerable_cname(domain)
   fix_vulnerable_cname(domain)
   
   Note: Replace <your_domain> with the actual domain name.

# Delete the vulnerable CNAME record by setting count = 0 so Terraform issues a DELETE.
# WARNING: This is destructive and will remove the DNS record RECORD_NAME.
# WARNING: This may cause service disruption if the domain is expected to be in use.
# WARNING: Before deleting, verify that this DNS record is no longer needed.
# WARNING: An alternative is to create the S3 bucket corresponding to CNAME_TARGET if that is the intended configuration.

resource "aws_route53_record" "vulnerable_cname" {
  count   = 0  # set from 1 (or remove this resource entirely) to have Terraform delete the record
  zone_id = "HOSTED_ZONE_ID"       # replace with the hosted zone ID
  name    = "RECORD_NAME"          # replace with the full DNS name (e.g., sub.example.com.)
  type    = "CNAME"
  ttl     = 300                    # replace with the TTL used by the existing record

  records = [
    "CNAME_TARGET"                 # replace with the current CNAME target (e.g., my-bucket.s3-website-us-east-1.amazonaws.com)
  ]
}

• HOSTED_ZONE_ID with the ID of the Route 53 hosted zone.
• RECORD_NAME with the exact DNS name of the vulnerable record.
• CNAME_TARGET with the current CNAME value.