Manage IP address ranges using the API

You can use the Data Enrichment APIs to manage IP address ranges.

To use the manage IP address ranges script

1. Create a CSV file with the following expected fields: Name, IP_Address_Ranges, Category, Tag(id), and Override_ISP_Name.
   Here's an example of the CSV file contents:

   name, ip_address_ranges, category, tag(id), isp_name
   Test 1,200.200.200.200/24 201.201.201.201/24,1, ,
   Test 2,1.1.1.5/32 31.31.31.4/24,1,000000290000000000000000 0000002d0000000000000000  ,
   Test 3,2.2.2.2/32,1,0000002d0000000000000000,
   Test 4,5.6.5.4/32,2,,test
   

2. Update the values for the following script variables: OPTION_DELETE_ENABLED, IP_RANGES_BASE_URL, CSV_ABSOLUTE_PATH, YOUR_TOKEN

   Important

   If you set OPTION_DELETE_ENABLED to True, any IP address ranges that are defined in your tenant but do not exist in the CSV files will be deleted from the tenant by the script. If you use this option, make sure that the CSV file defines all the IP address ranges you want in your tenant.

3. Run the script to create new records and update existing rules with the matching name.

Request body parameters

• "filters": Filter objects with all the search filters for the request, see Data Enrichment filters for more information. To avoid having your requests be throttled, make sure to include a limitation on your query.
• "limit": Integer. In scan mode, between 500 and 5000 (defaults to 500). Controls the number of iterations used for scanning all the data.

Response parameters

• "data": the returned data. Will contain up to "limit" number of records each iteration. If there are more records to be pulled (hasNext=true), the last few records will be dropped to ensure that all data is listed only once.
• "hasNext": Boolean. Denotes whether another iteration on the data is needed.
• "nextQueryFilters": If another iteration is needed, it contains the consecutive JSON query to be run. Use this as the "filters" parameter in the next request.

The following Python example uses the contents of a CSV file to manage (create, update, or delete) IP address ranges in your Defender for Cloud Apps environment.

import csv
import http
import requests
import json
 
OPTION_DELETE_ENABLED = False
IP_RANGES_BASE_URL = 'https://<tenant_id>.<tenant_region>.portal.cloudappsecurity.com/api/v1/subnet/'
IP_RANGES_UPDATE_SUFFIX = 'update_rule/'
IP_RANGES_CREATE_SUFFIX = 'create_rule/'
CSV_ABSOLUTE_PATH = 'rules.csv'
YOUR_TOKEN = '<your_token>'
HEADERS = {
  'Authorization': 'Token {}'.format(YOUR_TOKEN),
  'Content-Type': 'application/json'
}
 
# Get all records.
def get_records():
  list_request_data = {
    # Optionally, edit to match your filters
    'filters': {},
    "skip": 0,
    "limit": 20
  }
  records = []
  has_next = True
  while has_next:
    response = requests.post(IP_RANGES_BASE_URL, json=list_request_data, headers=HEADERS)
    if response.status_code != http.HTTPStatus.OK:
      raise Exception(f'Error getting existing subnets from tenant. Stopping script run. Error: {response.content}')
    content = json.loads(response.content)
    response_data = content.get('data', [])
    records += response_data
    has_next = content.get('hasNext', False)
    list_request_data["skip"] += len(response_data)
  return records
 
# Rule fields are compared to the CSV row.
def rule_matching(record, ip_address_ranges, category, tag, isp_name, ):
  new_tags = sorted([new_tag for new_tag in tag.split(' ') if new_tag != ''])
  existing_tags = sorted([existing_tag.get('id') for existing_tag in record.get('tags', [])])
  rule_exists_conditions = [sorted([subnet.get('originalString', False) for subnet in record.get('subnets', [])]) !=
  sorted(ip_address_ranges.split(' ')),
  str(record.get('category', False)) != category,
  existing_tags != new_tags,
  bool(record.get('organization', False)) != bool(isp_name) or
  (record.get('organization', False) is not None and not isp_name)]
  if any(rule_exists_conditions):
    return False
  return True
 
def create_update_rule(name, ip_address_ranges, category, tag, isp_name, records, request_data):
  for record in records:
    # Records are compared by name(unique).
    # This can be changed to id (to update the name), it will include adding id to the CSV and changing row shape.
    if record["name"] == name:
    # request_data["_tid"] = record["_tid"]
      if not rule_matching(record, ip_address_ranges, category, tag, isp_name):
        # Update existing rule
        request_data['_id'] = record['_id']
        response = requests.post(f"{IP_RANGES_BASE_URL}{record['_id']}/{IP_RANGES_UPDATE_SUFFIX}", json=request_data, headers=HEADERS)
        if response.status_code == http.HTTPStatus.OK:
          print('Rule updated', request_data)
        else:
          print('Error updating rule. Request data:', request_data, ' Response:', response.content)
          json.loads(response.content)
        return record
      else:
        # The exact same rule exists. no need for change.
        print('The exact same rule exists. no need for change. Rule name: ', name)
        return record
  # Create new rule.
  response = requests.post(f"{IP_RANGES_BASE_URL}{IP_RANGES_CREATE_SUFFIX}", json=request_data, headers=HEADERS)
  if response.status_code == http.HTTPStatus.OK:
    print('Rule created:', request_data)
  else:
    print('Error creating rule. Request data:', request_data, ' Response:', response.content)
    # added record
    return record
 
# Request data creation.
def create_request_data(name, ip_address_ranges, category, tag, isp_name):
  tags = [new_tag for new_tag in tag.split(' ') if new_tag != '']
  request_data = {"name": name, "subnets": ip_address_ranges.split(' '), "category": category, "tags": tags}
  if isp_name:
    request_data["overrideOrganization"] = True
    request_data["organization"] = isp_name
  return request_data
 
def main():
  # CSV fields are: Name,IP_Address_Ranges,Category,Tag(id),Override_ISP_Name
  # Multiple values (eg: multiple subnets) will be space-separated. (eg: value1 value2)
  records = get_records()
  with open(CSV_ABSOLUTE_PATH, newline='\n') as your_file:
    reader = csv.reader(your_file, delimiter=',')
    # move the reader object to point on the next row, headers are not needed
    next(reader)
    for row in reader:
      name, ip_address_ranges, category, tag, isp_name = row
      request_data = create_request_data(name, ip_address_ranges, category, tag, isp_name)
      if records:
      # Existing records were retrieved from your tenant
        record = create_update_rule(name, ip_address_ranges, category, tag, isp_name, records, request_data)
        record_id = record['_id']
      else:
        # No existing records were retrieved from your tenant
        response = requests.post(f"{IP_RANGES_BASE_URL}{IP_RANGES_CREATE_SUFFIX}", json=request_data, headers=HEADERS)
        if response.status_code == http.HTTPStatus.OK:
          record_id = json.loads(response.content)
          print('Rule created:', request_data)
        else:
          print('Error creating rule. Request data:', request_data, ' Response:', response.content)
      if OPTION_DELETE_ENABLED:
        # Remove CSV file record from tenant records.
        if record_id:
          for record in records:
            if record['_id'] == record_id:
              records.remove(record)
  if OPTION_DELETE_ENABLED:
    # Delete remaining tenant records, i.e. records that aren't in the CSV file.
    for record in records:
      requests.delete(f"{IP_RANGES_BASE_URL}{record['_id']}/", headers=HEADERS)
 
if __name__ == '__main__':
  main()

Next steps

Best practices for protecting your organization

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