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    Collect DomainTools Iris Investigate results

    Supported in:

    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 Accountsection, select the View API Dashboardlink located in the Account Summarytab.
    3. Go to the API Usernamesection 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.

    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.

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

    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 projectsection, 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 Permissionstab.
    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 Configuresection, 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 3.12or 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 Authenticationsection:

      1. Select Require authentication.
      2. Check Identity and Access Management (IAM).

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

    8. Go to the Securitytab:

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

    9. Go to the Containerstab:

      1. Click Variables & Secrets.
      2. Click + Add variablefor 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 & Secretssection, scroll down to Requests:

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

    11. Go to the Settingstab:

      • In the Resourcessection:
        • Memory: Select 512 MiBor higher.
        • CPU: Select 1.

    12. In the Revision scalingsection:

      • 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 editoropens automatically.

    Add function code

    1. Enter mainin 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 Deployto save and deploy the function.

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

    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 Schedulerconsole, find your job.
    2. Click Force runto 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 Logstab.

    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

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

    1. Go to SIEM Settings > Feeds.
    2. Click Add New Feed.
    3. Click Configure a single feed.
    4. In the Feed namefield, enter a name for the feed (for example, DomainTools Iris Investigate ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select DomainTools Threat Intelligenceas the Log type.

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

        chronicle 
 - 
 12345678 
 @chronicle 
 - 
 gcp 
 - 
 prod 
 . 
 iam 
 . 
 gserviceaccount 
 . 
 com

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

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

    1. Go to Cloud Storage > Buckets.
    2. Click your bucket name.
    3. Go to the Permissionstab.
    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.

    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 namefield, enter a name for the feed (for example, DomainTools Iris Investigate ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select DomainTools Threat Intelligenceas 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/

      • 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.

      • 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 Finalizescreen, 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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