### Description

https://github.com/apache/airflow/pull/17946 implements a `/robots.txt` endpoint to block search engines crawling Airflow - in the cases where it is (accidentally) exposed to the public Internet.

If we record any GET requests to that end-point we'd have a strong warning flag that the deployment is exposed, and could issue a warning in the UI, or even enable some kill-switch on the deployment. 

Some deployments are likely intentionally available and rely on auth mechanisms on the `login` endpoint, so there should be a config option to suppress the warnings.

An alternative approach would be to monitor for requests from specific user-agents used by crawlers for the same reasons

### Use case/motivation

People who accidentally expose airflow have a slightly higher chance of realising they've done so and tighten their security.

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

airflow/www/views.py
return check_dag_edit_acl_for_actions
class SlaMissModelView(AirflowModelView):
    """View to show SlaMiss table"""
    route_base = '/slamiss'
    datamodel = AirflowModelView.CustomSQLAInterface(SlaMiss)  
    class_permission_name = permissions.RESOURCE_SLA_MISS
    method_permission_name = {
        'list': 'read',
    }
    base_permissions = [
        permissions.ACTION_CAN_READ,
        permissions.ACTION_CAN_ACCESS_MENU,
    ]
    list_columns = ['dag_id', 'task_id', 'execution_date', 'email_sent', 'timestamp']
    label_columns = {
        'execution_date': 'Logical Date',
    }
    add_columns = ['dag_id', 'task_id', 'execution_date', 'email_sent', 'timestamp']
    edit_columns = ['dag_id', 'task_id', 'execution_date', 'email_sent', 'timestamp']
    search_columns = ['dag_id', 'task_id', 'email_sent', 'timestamp', 'execution_date']
    base_order = ('execution_date', 'desc')
    base_filters = [['dag_id', DagFilter, lambda: []]]
    formatters_columns = {
        'task_id': wwwutils.task_instance_link,
        'execution_date': wwwutils.datetime_f('execution_date'),
        'timestamp': wwwutils.datetime_f('timestamp'),
        'dag_id': wwwutils.dag_link,
    }
class XComModelView(AirflowModelView):
    """View to show records from XCom table"""