Collect DomainTools Iris Investigate results

Supported in:

Google secops SIEM

Note: This feature is covered by Pre-GA Offerings Terms of the Google Security Operations Service Specific Terms. Pre-GA features might have limited support, and changes to pre-GA features might not be compatible with other pre-GA versions. For more information, see the Google SecOps Technical Support Service guidelines and the Google SecOps Service Specific Terms.

This document explains how to ingest DomainTools Iris Investigate results to Google Security Operations using Google Cloud Storage. The parser transforms raw JSON data from DomainTools' Iris API into a structured format conforming to Google SecOps's Unified Data Model (UDM). It extracts information related to domain details, contact information, security risks, SSL certificates, and other relevant attributes, mapping them to corresponding UDM fields for consistent analysis and threat intelligence.

Before you begin

Ensure that you have the following prerequisites:

• A Google SecOps instance
• Privileged access to DomainTools enterprise account (API access to Iris Investigate)
• A GCP project with Cloud Storage API enabled
• Permissions to create and manage GCS buckets
• Permissions to manage IAM policies on GCS buckets
• Permissions to create Cloud Run services, Pub/Sub topics, and Cloud Scheduler jobs

Get DomainTools API Key and Endpoint

1. Sign in to the DomainTools API Dashboard (only the API owner account can reset the API key).
2. In the My Account section, select the View API Dashboard link located in the Account Summary tab.
3. Go to the API Username section to obtain your username.
4. In the same tab, locate your API Key.

5. Copy and save the key in a secure location. If you need a new key, select Reset API Key.

   Note: Creating a new key will immediately discard the existing key. This action cannot be undone.

6. Note the Iris Investigate endpoint: https://api.domaintools.com/v1/iris-investigate/.

Create Google Cloud Storage bucket

1. Go to the Google Cloud Console.
2. Select your project or create a new one.
3. In the navigation menu, go to Cloud Storage > Buckets.
4. Click Create bucket.

5. Provide the following configuration details:

   Setting	Value
   Name your bucket	Enter a globally unique name (for example, domaintools-iris)
   Location type	Choose based on your needs (Region, Dual-region, Multi-region)
   Location	Select the location (for example, us-central1)
   Storage class	Standard (recommended for frequently accessed logs)
   Access control	Uniform (recommended)
   Protection tools	Optional: Enable object versioning or retention policy

6. Click Create.

Create service account for Cloud Run function

The Cloud Run function needs a service account with permissions to write to GCS bucket and be invoked by Pub/Sub.

Create service account

1. In the GCP Console, go to IAM & Admin > Service Accounts.
2. Click Create Service Account.
3. Provide the following configuration details:
   • Service account name: Enter domaintools-iris-collector-sa.
   • Service account description: Enter Service account for Cloud Run function to collect DomainTools Iris Investigate logs.
4. Click Create and Continue.
5. In the Grant this service account access to project section, add the following roles:
   1. Click Select a role.
   2. Search for and select Storage Object Admin.
   3. Click + Add another role.
   4. Search for and select Cloud Run Invoker.
   5. Click + Add another role.
   6. Search for and select Cloud Functions Invoker.
6. Click Continue.
7. Click Done.

These roles are required for:

• Storage Object Admin: Write logs to GCS bucket and manage state files
• Cloud Run Invoker: Allow Pub/Sub to invoke the function
• Cloud Functions Invoker: Allow function invocation

Grant IAM permissions on GCS bucket

Grant the service account write permissions on the GCS bucket:

1. Go to Cloud Storage > Buckets.
2. Click your bucket name.
3. Go to the Permissions tab.
4. Click Grant access.
5. Provide the following configuration details:
   • Add principals: Enter the service account email (for example, domaintools-iris-collector-sa@PROJECT_ID.iam.gserviceaccount.com).
   • Assign roles: Select Storage Object Admin.
6. Click Save.

Create Pub/Sub topic

Create a Pub/Sub topic that Cloud Scheduler will publish to and the Cloud Run function will subscribe to.

1. In the GCP Console, go to Pub/Sub > Topics.
2. Click Create topic.
3. Provide the following configuration details:
   • Topic ID: Enter domaintools-iris-trigger.
   • Leave other settings as default.
4. Click Create.

Create Cloud Run function to collect logs

The Cloud Run function is triggered by Pub/Sub messages from Cloud Scheduler to fetch logs from DomainTools Iris Investigate API and writes them to GCS.

1. In the GCP Console, go to Cloud Run.
2. Click Create service.
3. Select Function (use an inline editor to create a function).

4. In the Configure section, provide the following configuration details:

   Setting	Value
   Service name	domaintools-iris-collector
   Region	Select region matching your GCS bucket (for example, us-central1)
   Runtime	Select Python 3.12 or later

5. In the Trigger (optional) section:

   1. Click + Add trigger.
   2. Select Cloud Pub/Sub.
   3. In Select a Cloud Pub/Sub topic, choose the Pub/Sub topic (domaintools-iris-trigger).
   4. Click Save.

6. In the Authentication section:

   1. Select Require authentication.
   2. Check Identity and Access Management (IAM).
   Note: Pub/Sub will automatically handle authentication when invoking the function.

7. Scroll down and expand Containers, Networking, Security.

8. Go to the Security tab:

   • Service account: Select the service account (domaintools-iris-collector-sa).

9. Go to the Containers tab:

   1. Click Variables & Secrets.
   2. Click + Add variable for each environment variable:

   Variable Name	Example Value	Description
   GCS_BUCKET	domaintools-iris	GCS bucket name where data will be stored.
   GCS_PREFIX	domaintools/iris/	Optional GCS prefix (subfolder) for objects.
   STATE_KEY	domaintools/iris/state.json	Optional state/checkpoint file key.
   DT_API_KEY	DT-XXXXXXXXXXXXXXXXXXXX	DomainTools API key.
   USE_MODE	HASH	Select which mode to use: HASH, DOMAINS, or QUERY (only one is active at a time).
   SEARCH_HASHES	hash1;hash2;hash3	Required if USE_MODE=HASH. Semicolon-separated list of saved search hashes from the Iris UI.
   DOMAINS	example.com;domaintools.com	Required if USE_MODE=DOMAINS. Semicolon-separated list of domains.
   QUERY_LIST	ip=1.1.1.1;ip=8.8.8.8;domain=example.org	Required if USE_MODE=QUERY. Semicolon-separated list of query strings (k=v&k2=v2).
   PAGE_SIZE	500	Rows per page (default 500).
   MAX_PAGES	20	Max pages per request.

10. In the Variables & Secrets section, scroll down to Requests:

    • Request timeout: Enter 900 seconds (15 minutes).

11. Go to the Settings tab:

    • In the Resources section:
      • Memory: Select 512 MiB or higher.
      • CPU: Select 1.

12. In the Revision scaling section:

    • Minimum number of instances: Enter 0.
    • Maximum number of instances: Enter 100 (or adjust based on expected load).

13. Click Create.

14. Wait for the service to be created (1-2 minutes).

15. After the service is created, the inline code editor opens automatically.

Add function code

1. Enter main in Function entry point

2. In the inline code editor, create two files:

   • First file: main.py:

   import functions_framework
   from google.cloud import storage
   import json
   import os
   import urllib.parse
   from urllib.request import Request, urlopen
   from urllib.error import HTTPError
   import time
   from datetime import datetime, timezone
   
   # Initialize Storage client
   storage_client = storage.Client()
   
   # Environment variables
   GCS_BUCKET = os.environ.get("GCS_BUCKET", "").strip()
   GCS_PREFIX = os.environ.get("GCS_PREFIX", "domaintools/iris/").strip()
   STATE_KEY = os.environ.get("STATE_KEY", "domaintools/iris/state.json").strip()
   DT_API_KEY = os.environ.get("DT_API_KEY", "").strip()
   USE_MODE = os.environ.get("USE_MODE", "HASH").strip().upper()
   SEARCH_HASHES = [h.strip() for h in os.environ.get("SEARCH_HASHES", "").split(";") if h.strip()]
   DOMAINS = [d.strip() for d in os.environ.get("DOMAINS", "").split(";") if d.strip()]
   QUERY_LIST = [q.strip() for q in os.environ.get("QUERY_LIST", "").split(";") if q.strip()]
   PAGE_SIZE = int(os.environ.get("PAGE_SIZE", "500"))
   MAX_PAGES = int(os.environ.get("MAX_PAGES", "20"))
   USE_NEXT = os.environ.get("USE_NEXT", "true").lower() == "true"
   HTTP_TIMEOUT = int(os.environ.get("HTTP_TIMEOUT", "60"))
   RETRIES = int(os.environ.get("HTTP_RETRIES", "2"))
   
   BASE_URL = "https://api.domaintools.com/v1/iris-investigate/"
   HDRS = {
       "X-Api-Key": DT_API_KEY,
       "Accept": "application/json",
   }
   
   def _http_post(url: str, body: dict) -> dict:
       """Make HTTP POST request with form-encoded body."""
       req = Request(url, method="POST")
       for k, v in HDRS.items():
           req.add_header(k, v)
       req.add_header("Content-Type", "application/x-www-form-urlencoded")
   
       encoded_body = urllib.parse.urlencode(body, doseq=True).encode('utf-8')
   
       attempt = 0
       while True:
           try:
               with urlopen(req, data=encoded_body, timeout=HTTP_TIMEOUT) as r:
                   return json.loads(r.read().decode("utf-8"))
           except HTTPError as e:
               if e.code in (429, 500, 502, 503, 504) and attempt < RETRIES:
                   delay = int(e.headers.get("Retry-After", "2"))
                   time.sleep(max(1, delay))
                   attempt += 1
                   continue
               raise
   
   def _write_page(bucket, obj: dict, label: str, page: int) -> str:
       ts = time.strftime("%Y/%m/%d/%H%M%S", time.gmtime())
       key = f"{GCS_PREFIX.rstrip('/')}/{ts}-{label}-p{page:05d}.json"
       blob = bucket.blob(key)
       blob.upload_from_string(
           json.dumps(obj, separators=(",", ":")),
           content_type="application/json"
       )
       return key
   
   def _first_page_params() -> dict:
       params = {"page_size": str(PAGE_SIZE)}
       if USE_NEXT:
           params["next"] = "true"
       return params
   
   def _paginate(bucket, label: str, params: dict) -> tuple:
       pages = 0
       total = 0
   
       while pages < MAX_PAGES:
           data = _http_post(BASE_URL, params)
           _write_page(bucket, data, label, pages)
           resp = data.get("response") or {}
           results = resp.get("results") or []
           total += len(results)
           pages += 1
   
           next_url = resp.get("next") if isinstance(resp, dict) else None
           if next_url:
               parsed = urllib.parse.urlparse(next_url)
               params = dict(urllib.parse.parse_qsl(parsed.query))
               continue
   
           if resp.get("has_more_results") and resp.get("position"):
               base = _first_page_params()
               base.pop("next", None)
               base["position"] = resp["position"]
               params = base
               continue
           break
       return pages, total
   
   def run_hashes(bucket, hashes: list) -> dict:
       agg_pages = agg_results = 0
       for h in hashes:
           params = _first_page_params()
           params["search_hash"] = h
           p, r = _paginate(bucket, f"hash-{h}", params)
           agg_pages += p
           agg_results += r
       return {"pages": agg_pages, "results": agg_results}
   
   def run_domains(bucket, domains: list) -> dict:
       agg_pages = agg_results = 0
       for d in domains:
           params = _first_page_params()
           params["domain"] = d
           p, r = _paginate(bucket, f"domain-{d}", params)
           agg_pages += p
           agg_results += r
       return {"pages": agg_pages, "results": agg_results}
   
   def run_queries(bucket, queries: list) -> dict:
       agg_pages = agg_results = 0
       for q in queries:
           base = _first_page_params()
           for k, v in urllib.parse.parse_qsl(q, keep_blank_values=True):
               base.setdefault(k, v)
           p, r = _paginate(bucket, f"query-{q.replace('=', '-')}", base)
           agg_pages += p
           agg_results += r
       return {"pages": agg_pages, "results": agg_results}
   
   @functions_framework.cloud_event
   def main(cloud_event):
       """
       Cloud Run function triggered by Pub/Sub to fetch DomainTools Iris Investigate results and write to GCS.
   
       Args:
           cloud_event: CloudEvent object containing Pub/Sub message
       """
   
       if not GCS_BUCKET:
           print("Error: GCS_BUCKET environment variable not set")
           return
   
       try:
           bucket = storage_client.bucket(GCS_BUCKET)
   
           if USE_MODE == "HASH" and SEARCH_HASHES:
               res = run_hashes(bucket, SEARCH_HASHES)
           elif USE_MODE == "DOMAINS" and DOMAINS:
               res = run_domains(bucket, DOMAINS)
           elif USE_MODE == "QUERY" and QUERY_LIST:
               res = run_queries(bucket, QUERY_LIST)
           else:
               raise ValueError(
                   "Invalid USE_MODE or missing parameters. Set USE_MODE to HASH | DOMAINS | QUERY "
                   "and provide SEARCH_HASHES | DOMAINS | QUERY_LIST accordingly."
               )
   
           print(f"Successfully processed: {json.dumps({'ok': True, 'mode': USE_MODE, **res})}")
   
       except Exception as e:
           print(f"Error processing DomainTools Iris data: {str(e)}")
           raise
   

   • Second file: requirements.txt:

   functions-framework==3.*
   google-cloud-storage==2.*
   

3. Click Deploy to save and deploy the function.

4. Wait for deployment to complete (2-3 minutes).

   Note: The Pub/Sub trigger configuration automatically creates the necessary subscriptions and permissions.

Create Cloud Scheduler job

Cloud Scheduler will publish messages to the Pub/Sub topic at regular intervals, triggering the Cloud Run function.

1. In the GCP Console, go to Cloud Scheduler.
2. Click Create Job.

3. Provide the following configuration details:

   Setting	Value
   Name	domaintools-iris-1h
   Region	Select same region as Cloud Run function
   Frequency	0 * * * * (every hour, on the hour)
   Timezone	Select timezone (UTC recommended)
   Target type	Pub/Sub
   Topic	Select the Pub/Sub topic (domaintools-iris-trigger)
   Message body	{} (empty JSON object)

4. Click Create.

Schedule frequency options

• Choose frequency based on log volume and latency requirements:

  Frequency	Cron Expression	Use Case
  Every 5 minutes	*/5 * * * *	High-volume, low-latency
  Every 15 minutes	*/15 * * * *	Medium volume
  Every hour	0 * * * *	Standard (recommended)
  Every 6 hours	0 */6 * * *	Low volume, batch processing
  Daily	0 0 * * *	Historical data collection

Test the integration

1. In the Cloud Scheduler console, find your job.
2. Click Force run to trigger the job manually.
3. Wait a few seconds.
4. Go to Cloud Run > Services.
5. Click on your function name (domaintools-iris-collector).
6. Click the Logs tab.

7. Verify the function executed successfully. Look for the following:

   Successfully processed: {"ok": true, "mode": "HASH", "pages": X, "results": Y}
   

8. Go to Cloud Storage > Buckets.

9. Click your bucket name.

10. Navigate to the prefix folder (domaintools/iris/).

11. Verify that new .json files were created with the current timestamp.

If you see errors in the logs:

• HTTP 401: Check DomainTools API credentials in environment variables
• HTTP 403: Verify account has required permissions for Iris Investigate API
• HTTP 429: Rate limiting - function will automatically retry with backoff
• Missing environment variables: Check all required variables are set
• Invalid USE_MODE: Verify USE_MODE is set to HASH, DOMAINS, or QUERY and corresponding parameters are provided

Retrieve the Google SecOps service account

Google SecOps uses a unique service account to read data from your GCS bucket. You must grant this service account access to your bucket.

Get the service account email

1. Go to SIEM Settings > Feeds.
2. Click Add New Feed.
3. Click Configure a single feed.
4. In the Feed name field, enter a name for the feed (for example, DomainTools Iris Investigate).
5. Select Google Cloud Storage V2 as the Source type.
6. Select DomainTools Threat Intelligence as the Log type.

7. Click Get Service Account. A unique service account email is displayed, for example:

   [e-mail]
   

8. Copy this email address for use it in the next step.

   Note: Each Google SecOps instance has a unique service account. Do not use service accounts from other documentation or examples.

Grant IAM permissions to the Google SecOps service account

The Google SecOps service account needs Storage Object Viewer role on your GCS bucket.

1. Go to Cloud Storage > Buckets.
2. Click your bucket name.
3. Go to the Permissions tab.
4. Click Grant access.
5. Provide the following configuration details:
   • Add principals: Paste the Google SecOps service account email.
   • Assign roles: Select Storage Object Viewer.

6. Click Save.

   Note: If you plan to use the deletion option "Delete transferred files" or "Delete transferred files and empty directories," grant Storage Object Admin role instead of Storage Object Viewer.

Configure a feed in Google SecOps to ingest DomainTools Iris Investigate results

1. Go to SIEM Settings > Feeds.
2. Click Add New Feed.
3. Click Configure a single feed.
4. In the Feed name field, enter a name for the feed (for example, DomainTools Iris Investigate).
5. Select Google Cloud Storage V2 as the Source type.
6. Select DomainTools Threat Intelligence as the Log type.
7. Click Next.

8. Specify values for the following input parameters:

   • Storage bucket URL: Enter the GCS bucket URI with the prefix path:

     gs://domaintools-iris/domaintools/iris/
     

     • Replace:

       • domaintools-iris: Your GCS bucket name.
       • domaintools/iris/: Optional prefix/folder path where logs are stored (leave empty for root).

     • Examples:

       • Root bucket: gs://domaintools-iris/
       • With prefix: gs://domaintools-iris/domaintools/iris/
     Note: Always include the trailing slash (/) at the end of the URI.

   • Source deletion option: Select the deletion option according to your preference:

     • Never: Never deletes any files after transfers (recommended for testing).
     • Delete transferred files: Deletes files after successful transfer.

     • Delete transferred files and empty directories: Deletes files and empty directories after successful transfer.

       Note: If you select a deletion option, the service account must have Storage Object Admin role instead of Storage Object Viewer. Update IAM permissions accordingly.

   • Maximum File Age: Include files modified in the last number of days. Default is 180 days.

   • Asset namespace: domaintools.threat_intel

   • Ingestion labels: The label to be applied to the events from this feed.

9. Click Next.

10. Review your new feed configuration in the Finalize screen, and then click Submit.

UDM mapping table

Log Field	UDM Mapping	Logic
active	principal.domain.status	Directly mapped from the active field in the raw log.
additional_whois_email.[].value	about.labels.additional_whois_email	Extracted from additional_whois_email array and added as a label in the about object.
adsense.value	about.labels.adsense	Extracted from adsense.value and added as a label in the about object.
admin_contact.city.value	principal.domain.admin.office_address.city	Directly mapped from the admin_contact.city.value field in the raw log.
admin_contact.country.value	principal.domain.admin.office_address.country_or_region	Directly mapped from the admin_contact.country.value field in the raw log.
admin_contact.email.[].value	principal.domain.admin.email_addresses	Extracted from admin_contact.email array and added to the email_addresses field.
admin_contact.fax.value	principal.domain.admin.attribute.labels.fax	Extracted from admin_contact.fax.value and added as a label with key "fax" in the admin attribute.
admin_contact.name.value	principal.domain.admin.user_display_name	Directly mapped from the admin_contact.name.value field in the raw log.
admin_contact.org.value	principal.domain.admin.company_name	Directly mapped from the admin_contact.org.value field in the raw log.
admin_contact.phone.value	principal.domain.admin.phone_numbers	Directly mapped from the admin_contact.phone.value field in the raw log.
admin_contact.postal.value	principal.domain.admin.attribute.labels.postal	Extracted from admin_contact.postal.value and added as a label with key "postal" in the admin attribute.
admin_contact.state.value	principal.domain.admin.office_address.state	Directly mapped from the admin_contact.state.value field in the raw log.
admin_contact.street.value	principal.domain.admin.office_address.name	Directly mapped from the admin_contact.street.value field in the raw log.
alexa	about.labels.alexa	Directly mapped from the alexa field in the raw log and added as a label in the about object.
baidu_codes.[].value	about.labels.baidu_codes	Extracted from baidu_codes array and added as a label in the about object.
billing_contact.city.value	principal.domain.billing.office_address.city	Directly mapped from the billing_contact.city.value field in the raw log.
billing_contact.country.value	principal.domain.billing.office_address.country_or_region	Directly mapped from the billing_contact.country.value field in the raw log.
billing_contact.email.[].value	principal.domain.billing.email_addresses	Extracted from billing_contact.email array and added to the email_addresses field.
billing_contact.fax.value	principal.domain.billing.attribute.labels.fax	Extracted from billing_contact.fax.value and added as a label with key "fax" in the billing attribute.
billing_contact.name.value	principal.domain.billing.user_display_name	Directly mapped from the billing_contact.name.value field in the raw log.
billing_contact.org.value	principal.domain.billing.company_name	Directly mapped from the billing_contact.org.value field in the raw log.
billing_contact.phone.value	principal.domain.billing.phone_numbers	Directly mapped from the billing_contact.phone.value field in the raw log.
billing_contact.postal.value	principal.domain.billing.attribute.labels.postal	Extracted from billing_contact.postal.value and added as a label with key "postal" in the billing attribute.
billing_contact.state.value	principal.domain.billing.office_address.state	Directly mapped from the billing_contact.state.value field in the raw log.
billing_contact.street.value	principal.domain.billing.office_address.name	Directly mapped from the billing_contact.street.value field in the raw log.
create_date.value	principal.domain.creation_time	Converted to timestamp format from the create_date.value field in the raw log.
data_updated_timestamp	principal.domain.audit_update_time	Converted to timestamp format from the data_updated_timestamp field in the raw log.
domain	principal.hostname	Directly mapped from the domain field in the raw log.
domain_risk.components.[].evidence	security_result.detection_fields.evidence	Extracted from domain_risk.components.[].evidence array and added as a detection field with key "evidence" in the security_result object.
domain_risk.components.[].name	security_result.category_details	Directly mapped from the domain_risk.components.[].name field in the raw log.
domain_risk.components.[].risk_score	security_result.risk_score	Directly mapped from the domain_risk.components.[].risk_score field in the raw log.
domain_risk.components.[].threats	security_result.threat_name	The first element of the domain_risk.components.[].threats array is mapped to security_result.threat_name.
domain_risk.components.[].threats	security_result.detection_fields.threats	The remaining elements of the domain_risk.components.[].threats array are added as detection fields with key "threats" in the security_result object.
domain_risk.risk_score	security_result.risk_score	Directly mapped from the domain_risk.risk_score field in the raw log.
email_domain.[].value	about.labels.email_domain	Extracted from email_domain array and added as a label in the about object.
expiration_date.value	principal.domain.expiration_time	Converted to timestamp format from the expiration_date.value field in the raw log.
fb_codes.[].value	about.labels.fb_codes	Extracted from fb_codes array and added as a label in the about object.
first_seen.value	principal.domain.first_seen_time	Converted to timestamp format from the first_seen.value field in the raw log.
ga4.[].value	about.labels.ga4	Extracted from ga4 array and added as a label in the about object.
google_analytics.value	about.labels.google_analytics	Extracted from google_analytics.value and added as a label in the about object.
gtm_codes.[].value	about.labels.gtm_codes	Extracted from gtm_codes array and added as a label in the about object.
hotjar_codes.[].value	about.labels.hotjar_codes	Extracted from hotjar_codes array and added as a label in the about object.
ip.[].address.value	principal.ip	The first element of the ip array is mapped to principal.ip.
ip.[].address.value	about.labels.ip_address	The remaining elements of the ip array are added as labels with key "ip_address" in the about object.
ip.[].asn.[].value	network.asn	The first element of the first ip.asn array is mapped to network.asn.
ip.[].asn.[].value	about.labels.asn	The remaining elements of the ip.asn arrays are added as labels with key "asn" in the about object.
ip.[].country_code.value	principal.location.country_or_region	The country_code.value of the first element in the ip array is mapped to principal.location.country_or_region.
ip.[].country_code.value	about.location.country_or_region	The country_code.value of the remaining elements in the ip array are mapped to about.location.country_or_region.
ip.[].isp.value	principal.labels.isp	The isp.value of the first element in the ip array is mapped to principal.labels.isp.
ip.[].isp.value	about.labels.isp	The isp.value of the remaining elements in the ip array are mapped to about.labels.isp.
matomo_codes.[].value	about.labels.matomo_codes	Extracted from matomo_codes array and added as a label in the about object.
monitor_domain	about.labels.monitor_domain	Directly mapped from the monitor_domain field in the raw log and added as a label in the about object.
monitoring_domain_list_name	about.labels.monitoring_domain_list_name	Directly mapped from the monitoring_domain_list_name field in the raw log and added as a label in the about object.
mx.[].domain.value	about.domain.name	Directly mapped from the mx.[].domain.value field in the raw log.
mx.[].host.value	about.hostname	Directly mapped from the mx.[].host.value field in the raw log.
mx.[].ip.[].value	about.ip	Extracted from mx.[].ip array and added to the ip field.
mx.[].priority	about.security_result.priority_details	Directly mapped from the mx.[].priority field in the raw log.
name_server.[].domain.value	about.labels.name_server_domain	Extracted from name_server.[].domain.value and added as a label with key "name_server_domain" in the about object.
name_server.[].host.value	principal.domain.name_server	Extracted from name_server.[].host.value and added to the name_server field.
name_server.[].host.value	about.domain.name_server	Extracted from name_server.[].host.value and added to the name_server field.
name_server.[].ip.[].value	about.labels.ip	Extracted from name_server.[].ip array and added as a label with key "ip" in the about object.
popularity_rank	about.labels.popularity_rank	Directly mapped from the popularity_rank field in the raw log and added as a label in the about object.
redirect.value	about.labels.redirect	Extracted from redirect.value and added as a label in the about object.
redirect_domain.value	about.labels.redirect_domain	Extracted from redirect_domain.value and added as a label in the about object.
registrant_contact.city.value	principal.domain.registrant.office_address.city	Directly mapped from the registrant_contact.city.value field in the raw log.
registrant_contact.country.value	principal.domain.registrant.office_address.country_or_region	Directly mapped from the registrant_contact.country.value field in the raw log.
registrant_contact.email.[].value	principal.domain.registrant.email_addresses	Extracted from registrant_contact.email array and added to the email_addresses field.
registrant_contact.fax.value	principal.domain.registrant.attribute.labels.fax	Extracted from registrant_contact.fax.value and added as a label with key "fax" in the registrant attribute.
registrant_contact.name.value	principal.domain.registrant.user_display_name	Directly mapped from the registrant_contact.name.value field in the raw log.
registrant_contact.org.value	principal.domain.registrant.company_name	Directly mapped from the registrant_contact.org.value field in the raw log.
registrant_contact.phone.value	principal.domain.registrant.phone_numbers	Directly mapped from the registrant_contact.phone.value field in the raw log.
registrant_contact.postal.value	principal.domain.registrant.attribute.labels.postal	Extracted from registrant_contact.postal.value and added as a label with key "postal" in the registrant attribute.
registrant_contact.state.value	principal.domain.registrant.office_address.state	Directly mapped from the registrant_contact.state.value field in the raw log.
registrant_contact.street.value	principal.domain.registrant.office_address.name	Directly mapped from the registrant_contact.street.value field in the raw log.
registrant_name.value	about.labels.registrant_name	Extracted from registrant_name.value and added as a label in the about object.
registrant_org.value	about.labels.registrant_org	Extracted from registrant_org.value and added as a label in the about object.
registrar.value	principal.domain.registrar	Directly mapped from the registrar.value field in the raw log.
registrar_status	about.labels.registrar_status	Extracted from registrar_status array and added as a label in the about object.
server_type	network.tls.client.server_name	Directly mapped from the server_type field in the raw log.
soa_email.[].value	principal.user.email_addresses	Extracted from soa_email array and added to the email_addresses field.
spf_info	about.labels.spf_info	Directly mapped from the spf_info field in the raw log and added as a label in the about object.
ssl_email.[].value	about.labels.ssl_email	Extracted from ssl_email array and added as a label in the about object.
ssl_info.[].alt_names.[].value	about.labels.alt_names	Extracted from ssl_info.[].alt_names array and added as a label in the about object.
ssl_info.[].common_name.value	about.labels.common_name	Extracted from ssl_info.[].common_name.value and added as a label in the about object.
ssl_info.[].duration.value	about.labels.duration	Extracted from ssl_info.[].duration.value and added as a label in the about object.
ssl_info.[].email.[].value	about.labels.ssl_info_email	Extracted from ssl_info.[].email array and added as a label with key "ssl_info_email" in the about object.
ssl_info.[].hash.value	network.tls.server.certificate.sha1	The hash.value of the first element in the ssl_info array is mapped to network.tls.server.certificate.sha1.
ssl_info.[].hash.value	about.labels.hash	The hash.value of the remaining elements in the ssl_info array are mapped to about.labels.hash.
ssl_info.[].issuer_common_name.value	network.tls.server.certificate.issuer	The issuer_common_name.value of the first element in the ssl_info array is mapped to network.tls.server.certificate.issuer.
ssl_info.[].issuer_common_name.value	about.labels.issuer_common_name	The issuer_common_name.value of the remaining elements in the ssl_info array are mapped to about.labels.issuer_common_name.
ssl_info.[].not_after.value	network.tls.server.certificate.not_after	The not_after.value of the first element in the ssl_info array is converted to timestamp format and mapped to network.tls.server.certificate.not_after.
ssl_info.[].not_after.value	about.labels.not_after	The not_after.value of the remaining elements in the ssl_info array are mapped to about.labels.not_after.
ssl_info.[].not_before.value	network.tls.server.certificate.not_before	The not_before.value of the first element in the ssl_info array is converted to timestamp format and mapped to network.tls.server.certificate.not_before.
ssl_info.[].not_before.value	about.labels.not_before	The not_before.value of the remaining elements in the ssl_info array are mapped to about.labels.not_before.
ssl_info.[].organization.value	network.organization_name	The organization.value of the first element in the ssl_info array is mapped to network.organization_name.
ssl_info.[].organization.value	about.labels.organization	The organization.value of the remaining elements in the ssl_info array are mapped to about.labels.organization.
ssl_info.[].subject.value	about.labels.subject	Extracted from ssl_info.[].subject.value and added as a label in the about object.
statcounter_project_codes.[].value	about.labels.statcounter_project_codes	Extracted from statcounter_project_codes array and added as a label in the about object.
statcounter_security_codes.[].value	about.labels.statcounter_security_codes	Extracted from statcounter_security_codes array and added as a label in the about object.
tags.[].label	about.file.tags	Extracted from tags.[].label and added to the tags field.
tags.[].scope	security_result.detection_fields.scope	Extracted from tags.[].scope and added as a detection field with key "scope" in the security_result object.
tags.[].tagged_at	security_result.detection_fields.tagged_at	Extracted from tags.[].tagged_at and added as a detection field with key "tagged_at" in the security_result object.
technical_contact.city.value	principal.domain.tech.office_address.city	Directly mapped from the technical_contact.city.value field in the raw log.
technical_contact.country.value	principal.domain.tech.office_address.country_or_region	Directly mapped from the technical_contact.country.value field in the raw log.
technical_contact.email.[].value	principal.domain.tech.email_addresses	Extracted from technical_contact.email array and added to the email_addresses field.
technical_contact.fax.value	principal.domain.tech.attribute.labels.fax	Extracted from technical_contact.fax.value and added as a label with key "fax" in the tech attribute.
technical_contact.name.value	principal.domain.tech.user_display_name	Directly mapped from the technical_contact.name.value field in the raw log.
technical_contact.org.value	principal.domain.tech.company_name	Directly mapped from the technical_contact.org.value field in the raw log.
technical_contact.phone.value	principal.domain.tech.phone_numbers	Directly mapped from the technical_contact.phone.value field in the raw log.
technical_contact.postal.value	principal.domain.tech.attribute.labels.postal	Extracted from technical_contact.postal.value and added as a label with key "postal" in the tech attribute.
technical_contact.state.value	principal.domain.tech.office_address.state	Directly mapped from the technical_contact.state.value field in the raw log.
technical_contact.street.value	principal.domain.tech.office_address.name	Directly mapped from the technical_contact.street.value field in the raw log.
tld	about.labels.tld	Directly mapped from the tld field in the raw log and added as a label in the about object.
timestamp	about.labels.timestamp	Directly mapped from the timestamp field in the raw log and added as a label in the about object.
website_response	principal.network.http.response_code	Directly mapped from the website_response field in the raw log.
website_title	about.labels.website_title	Directly mapped from the website_title field in the raw log and added as a label in the about object.
whois_url	principal.domain.whois_server	Directly mapped from the whois_url field in the raw log.
yandex_codes.[].value	about.labels.yandex_codes	Extracted from yandex_codes array and added as a label in the about object.
edr.client.hostname		Set to the value of the domain field.
edr.client.ip_addresses		Set to the value of the first element in the ip array, specifically ip.[0].address.value.
edr.raw_event_name		Set to "STATUS_UPDATE" if principal.hostname is present, otherwise set to "GENERIC_EVENT".
metadata.event_timestamp		Copied from the top-level create_time field in the raw log.
metadata.event_type		Set to "STATUS_UPDATE" if principal.hostname is present, otherwise set to "GENERIC_EVENT".
metadata.log_type		Set to "DOMAINTOOLS_THREATINTEL".
metadata.product_name		Set to "DOMAINTOOLS".
metadata.vendor_name		Set to "DOMAINTOOLS".

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