Collect Mandiant Threat Intelligence Custom IOC logs

Supported in:

This document explains how to ingest Mandiant Threat Intelligence Custom IOC data to Google Security Operations using Google Cloud Storage V2.

Mandiant Threat Intelligence provides context-rich indicators of compromise (IOCs) including IP addresses, domains, URLs, file hashes, and email addresses. The platform delivers threat intelligence based on frontline incident response investigations, enabling security teams to identify and prioritize threats targeting their organization.

Before you begin

Ensure that you have the following prerequisites:

  • A Google SecOps instance
  • 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
  • Active Mandiant Advantage Threat Intelligence subscription
  • Privileged access to Mandiant Advantage portal

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, mandiant-ioc-logs)
    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.

Collect Mandiant Advantage credentials

Get Mandiant site URL

  1. Sign in to your Mandiant Advantage instance.
  2. Note your site URL from the browser address bar.
    • The URL is: https://advantage.mandiant.com

Create API credentials

  1. Sign in to Mandiant Advantage.
  2. Go to Settings.
  3. Scroll down to API Access and Keys or select it from the navigation menu.
  4. Click Get Key ID and Secret.
  5. Copy and save the API credentials securely:
    • Key ID: Copy this value (also referred to as API Key ID or Public Key)
    • Key Secret: Copy this value (also referred to as API Secret or Private Key)

Verify permissions

To verify the account has the required permissions:

  1. Sign in to Mandiant Advantage.
  2. Go to Settings.
  3. Review your user permissions under User Information.
  4. Verify that you have access to Threat Intelligence module.
  5. If you cannot see Threat Intelligence data, contact your Mandiant administrator to grant appropriate permissions.

Test API access

  • Test your credentials before proceeding with the integration:

    # Replace with your actual credentials
    API_KEY_ID="your-key-id"
    API_SECRET="your-key-secret"
    API_BASE="https://api.intelligence.mandiant.com"
    
    # Get OAuth token
    TOKEN=$(curl -s -X POST "${API_BASE}/token" \
        -H "Content-Type: application/x-www-form-urlencoded" \
        -d "grant_type=client_credentials" \
        -u "${API_KEY_ID}:${API_SECRET}" | jq -r '.access_token')
    
    # Test API access
    curl -v -H "Authorization: Bearer ${TOKEN}" \
        "${API_BASE}/v4/indicator?limit=1"
    

If the test is successful, you should receive a JSON response with indicator data. If you receive an error:

  • HTTP 401: Check that API Key ID and Secret are correct
  • HTTP 403: Verify account has Threat Intelligence permissions
  • HTTP 404: Verify the API base URL is correct

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 mandiant-ioc-collector-sa (for example, mandiant-ioc-collector-sa)
    • Service account description: Enter Service account for Cloud Run function to collect Mandiant IOC 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 on your bucket name (for example, mandiant-ioc-logs).
  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, mandiant-ioc-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 mandiant-ioc-trigger (for example, mandiant-ioc-trigger)
    • Leave other settings as default
  4. Click Create.

Create Cloud Run function to collect logs

The Cloud Run function will be triggered by Pub/Sub messages from Cloud Scheduler to fetch IOC data from Mandiant Threat Intelligence API and write 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 mandiant-ioc-collector (for example, mandiant-ioc-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 (for example, mandiant-ioc-trigger).
    4. Click Save.
  6. In the Authentication section:

    1. Select Require authentication.
    2. Check Identity and Access Management (IAM).
  1. Scroll down and expand Containers, Networking, Security.
  2. Go to the Security tab:
    • Service account: Select the service account (for example, mandiant-ioc-collector-sa)
  3. Go to the Containers tab:

    1. Click Variables & Secrets.
    2. Click + Add variable for each environment variable:
    Variable Name Example Value Description
    GCS_BUCKET mandiant-ioc-logs GCS bucket name
    GCS_PREFIX mandiant-ioc Prefix for log files
    STATE_KEY mandiant-ioc/state.json State file path
    API_BASE https://api.intelligence.mandiant.com API base URL
    API_KEY_ID your-key-id Mandiant API Key ID
    API_SECRET your-key-secret Mandiant API Secret
    MAX_RECORDS 1000 Max records per run
    PAGE_SIZE 100 Records per page
    LOOKBACK_HOURS 24 Initial lookback period
  4. In the Variables & Secrets section, scroll down to Requests:

    • Request timeout: Enter 600 seconds (10 minutes)
  5. Go to the Settings tab:

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

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

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

  9. After the service is created, the inline code editor will open automatically.

Add function code

  1. Enter main in the Entry point field.
  2. In the inline code editor, create two files:

    • main.py:

      import functions_framework
      from google.cloud import storage
      import json
      import os
      import urllib3
      from datetime import datetime, timezone, timedelta
      import time
      import base64
      
      # Initialize HTTP client with timeouts
      http = urllib3.PoolManager(
          timeout=urllib3.Timeout(connect=5.0, read=30.0),
          retries=False,
      )
      
      # Initialize Storage client
      storage_client = storage.Client()
      
      # Environment variables
      GCS_BUCKET = os.environ.get('GCS_BUCKET')
      GCS_PREFIX = os.environ.get('GCS_PREFIX', 'mandiant-ioc')
      STATE_KEY = os.environ.get('STATE_KEY', 'mandiant-ioc/state.json')
      API_BASE = os.environ.get('API_BASE', 'https://api.intelligence.mandiant.com')
      API_KEY_ID = os.environ.get('API_KEY_ID')
      API_SECRET = os.environ.get('API_SECRET')
      MAX_RECORDS = int(os.environ.get('MAX_RECORDS', '1000'))
      PAGE_SIZE = int(os.environ.get('PAGE_SIZE', '100'))
      LOOKBACK_HOURS = int(os.environ.get('LOOKBACK_HOURS', '24'))
      
      def to_unix_seconds(dt: datetime) -> int:
          """Convert datetime to Unix epoch seconds."""
          if dt.tzinfo is None:
              dt = dt.replace(tzinfo=timezone.utc)
          dt = dt.astimezone(timezone.utc)
          return int(dt.timestamp())
      
      def parse_datetime(value: str) -> datetime:
          """Parse ISO datetime string to datetime object."""
          if value.endswith("Z"):
              value = value[:-1] + "+00:00"
          return datetime.fromisoformat(value)
      
      @functions_framework.cloud_event
      def main(cloud_event):
          """
          Cloud Run function triggered by Pub/Sub to fetch Mandiant IOC data and write to GCS.
      
          Args:
              cloud_event: CloudEvent object containing Pub/Sub message
          """
      
          if not all([GCS_BUCKET, API_BASE, API_KEY_ID, API_SECRET]):
              print('Error: Missing required environment variables')
              return
      
          try:
              # Get GCS bucket
              bucket = storage_client.bucket(GCS_BUCKET)
      
              # Load state
              state = load_state(bucket, STATE_KEY)
      
              # Determine time window
              now = datetime.now(timezone.utc)
              last_time = None
      
              if isinstance(state, dict) and state.get("last_event_time"):
                  try:
                      last_time = parse_datetime(state["last_event_time"])
                      # Overlap by 2 minutes to catch any delayed events
                      last_time = last_time - timedelta(minutes=2)
                  except Exception as e:
                      print(f"Warning: Could not parse last_event_time: {e}")
      
              if last_time is None:
                  last_time = now - timedelta(hours=LOOKBACK_HOURS)
      
              print(f"Fetching IOCs from {last_time.isoformat()} to {now.isoformat()}")
      
              # Convert to Unix timestamps
              start_epoch = to_unix_seconds(last_time)
              end_epoch = to_unix_seconds(now)
      
              # Fetch IOCs
              records, newest_event_time = fetch_iocs(
                  api_base=API_BASE,
                  api_key_id=API_KEY_ID,
                  api_secret=API_SECRET,
                  start_epoch=start_epoch,
                  end_epoch=end_epoch,
                  page_size=PAGE_SIZE,
                  max_records=MAX_RECORDS,
              )
      
              if not records:
                  print("No new IOC records found.")
                  save_state(bucket, STATE_KEY, now.isoformat())
                  return
      
              # Write to GCS as NDJSON
              timestamp = now.strftime('%Y%m%d_%H%M%S')
              object_key = f"{GCS_PREFIX}/iocs_{timestamp}.ndjson"
              blob = bucket.blob(object_key)
      
              ndjson = '\n'.join([json.dumps(record, ensure_ascii=False) for record in records]) + '\n'
              blob.upload_from_string(ndjson, content_type='application/x-ndjson')
      
              print(f"Wrote {len(records)} records to gs://{GCS_BUCKET}/{object_key}")
      
              # Update state with newest event time
              if newest_event_time:
                  save_state(bucket, STATE_KEY, newest_event_time)
              else:
                  save_state(bucket, STATE_KEY, now.isoformat())
      
              print(f"Successfully processed {len(records)} records")
      
          except Exception as e:
              print(f'Error processing IOCs: {str(e)}')
              raise
      
      def load_state(bucket, key):
          """Load state from GCS."""
          try:
              blob = bucket.blob(key)
              if blob.exists():
                  state_data = blob.download_as_text()
                  return json.loads(state_data)
          except Exception as e:
              print(f"Warning: Could not load state: {e}")
      
          return {}
      
      def save_state(bucket, key, last_event_time_iso: str):
          """Save the last event timestamp to GCS state file."""
          try:
              state = {'last_event_time': last_event_time_iso}
              blob = bucket.blob(key)
              blob.upload_from_string(
                  json.dumps(state, indent=2),
                  content_type='application/json'
              )
              print(f"Saved state: last_event_time={last_event_time_iso}")
          except Exception as e:
              print(f"Warning: Could not save state: {e}")
      
      def get_oauth_token(api_base: str, api_key_id: str, api_secret: str) -> str:
          """Get OAuth 2.0 access token from Mandiant API."""
          token_url = f"{api_base}/token"
      
          # Create Basic Auth header
          auth_string = f"{api_key_id}:{api_secret}"
          auth_bytes = auth_string.encode('utf-8')
          auth_b64 = base64.b64encode(auth_bytes).decode('utf-8')
      
          headers = {
              'Authorization': f'Basic {auth_b64}',
              'Content-Type': 'application/x-www-form-urlencoded',
              'Accept': 'application/json'
          }
      
          body = 'grant_type=client_credentials'
      
          try:
              response = http.request('POST', token_url, body=body, headers=headers)
      
              if response.status != 200:
                  print(f"Token request failed: {response.status}")
                  print(f"Response: {response.data.decode('utf-8')}")
                  raise Exception(f"Failed to get OAuth token: HTTP {response.status}")
      
              token_data = json.loads(response.data.decode('utf-8'))
              return token_data['access_token']
      
          except Exception as e:
              print(f"Error getting OAuth token: {e}")
              raise
      
      def fetch_iocs(api_base: str, api_key_id: str, api_secret: str, start_epoch: int, end_epoch: int, page_size: int, max_records: int):
          """
          Fetch IOCs from Mandiant Threat Intelligence API with pagination and rate limiting.
      
          Args:
              api_base: API base URL
              api_key_id: Mandiant API Key ID
              api_secret: Mandiant API Secret
              start_epoch: Start time in Unix epoch seconds
              end_epoch: End time in Unix epoch seconds
              page_size: Number of records per page
              max_records: Maximum total records to fetch
      
          Returns:
              Tuple of (records list, newest_event_time ISO string)
          """
          # Get OAuth token
          access_token = get_oauth_token(api_base, api_key_id, api_secret)
      
          endpoint = f"{api_base}/v4/indicator"
      
          headers = {
              'Authorization': f'Bearer {access_token}',
              'Accept': 'application/json',
              'Content-Type': 'application/json',
              'User-Agent': 'GoogleSecOps-MandiantCollector/1.0'
          }
      
          records = []
          newest_time = None
          page_num = 0
          backoff = 1.0
          next_url = None
      
          while True:
              page_num += 1
      
              if len(records) >= max_records:
                  print(f"Reached max_records limit ({max_records})")
                  break
      
              # Build request URL
              if next_url:
                  # Use next URL from pagination
                  url = next_url
              else:
                  # First request with time filtering
                  params = []
                  params.append(f"start_epoch={start_epoch}")
                  params.append(f"end_epoch={end_epoch}")
                  params.append(f"limit={min(page_size, max_records - len(records))}")
                  url = f"{endpoint}?{'&'.join(params)}"
      
              try:
                  response = http.request('GET', url, headers=headers)
      
                  # Handle rate limiting with exponential backoff
                  if response.status == 429:
                      retry_after = int(response.headers.get('Retry-After', str(int(backoff))))
                      print(f"Rate limited (429). Retrying after {retry_after}s...")
                      time.sleep(retry_after)
                      backoff = min(backoff * 2, 30.0)
                      continue
      
                  backoff = 1.0
      
                  if response.status != 200:
                      print(f"HTTP Error: {response.status}")
                      response_text = response.data.decode('utf-8')
                      print(f"Response body: {response_text}")
                      return [], None
      
                  data = json.loads(response.data.decode('utf-8'))
      
                  # Extract results
                  page_results = data.get('indicators', [])
      
                  if not page_results:
                      print(f"No more results (empty page)")
                      break
      
                  print(f"Page {page_num}: Retrieved {len(page_results)} IOCs")
                  records.extend(page_results)
      
                  # Track newest event time
                  for ioc in page_results:
                      try:
                          # Extract last_updated timestamp
                          event_time = ioc.get('last_updated')
                          if event_time:
                              if newest_time is None or parse_datetime(event_time) > parse_datetime(newest_time):
                                  newest_time = event_time
                      except Exception as e:
                          print(f"Warning: Could not parse event time: {e}")
      
                  # Check for next page
                  next_url = data.get('next')
                  if not next_url:
                      print("No more pages (no next URL)")
                      break
      
              except Exception as e:
                  print(f"Error fetching IOCs: {e}")
                  return [], None
      
          print(f"Retrieved {len(records)} total records from {page_num} pages")
          return records, newest_time
      
    • requirements.txt:

      functions-framework==3.*
      google-cloud-storage==2.*
      urllib3>=2.0.0
      
  3. Click Deploy to 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 mandiant-ioc-collector-hourly (for example, mandiant-ioc-collector-hourly)
    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 (for example, mandiant-ioc-trigger)
    Message body {} (empty JSON object)
  4. Click Create.

Schedule frequency options

  • Choose frequency based on IOC update 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 (for example, mandiant-ioc-collector-hourly).
  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 (for example, mandiant-ioc-collector).
  6. Click the Logs tab.
  7. Verify the function executed successfully. Look for:

    Fetching IOCs from YYYY-MM-DDTHH:MM:SS+00:00 to YYYY-MM-DDTHH:MM:SS+00:00
    Page 1: Retrieved X IOCs
    Wrote X records to gs://bucket-name/mandiant-ioc/iocs_YYYYMMDD_HHMMSS.ndjson
    Successfully processed X records
    
  8. Go to Cloud Storage > Buckets.

  9. Click on your bucket name (for example, mandiant-ioc-logs).

  10. Navigate to the prefix folder (for example, mandiant-ioc/).

  11. Verify that a new .ndjson file was created with the current timestamp.

If you see errors in the logs:

  • HTTP 401: Check API Key ID and Secret in environment variables
  • HTTP 403: Verify account has Threat Intelligence permissions
  • HTTP 429: Rate limiting - function will automatically retry with backoff
  • Missing environment variables: Check all required variables are set
  • Token request failed: Verify API credentials are correct and not expired

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, Mandiant Custom IOC).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select Mandiant Custom IOC as the Log type.
  7. Click Get Service Account. A unique service account email will be displayed, for example:

    chronicle-12345678@chronicle-gcp-prod.iam.gserviceaccount.com
    
  8. Copy this email address for use in the next step.

  9. Click Next.

  10. Specify values for the following input parameters:

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

      gs://mandiant-ioc-logs/mandiant-ioc/
      
      • Replace:
        • mandiant-ioc-logs: Your GCS bucket name.
        • mandiant-ioc: Prefix/folder path where IOC logs are stored.
    • 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: The asset namespace

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

  11. Click Next.

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

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 on your bucket name (for example, mandiant-ioc-logs).
  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.

UDM mapping table

Log Field UDM Mapping Logic
associated_hashes.value entity.file.md5 Value from associated_hashes.value if hash.type == "md5", else from value if type == "md5"
value entity.file.md5
associated_hashes.value entity.file.sha1 Value from associated_hashes.value if hash.type == "sha1", else from value if type == "sha1"
value entity.file.sha1
associated_hashes.value entity.file.sha256 Value from associated_hashes.value if hash.type == "sha256", else from value if type == "sha256"
value entity.file.sha256
value entity.hostname Value copied directly if type == "fqdn"
value entity.ip Value copied directly if type == "ipv4"
threat_rating.threat_score entity.labels Merged label objects with key "threat_score" and value from threat_rating.threat_score, key "mscore" and value from mscore, key "is_exclusive" and value from is_exclusive, key "is_publishable" and value from ispublishable, and for each misp field, key "misp" and value from misp.
mscore entity.labels
is_exclusive entity.labels
is_publishable entity.labels
misp.akamai entity.labels
misp.alexa entity.labels
misp.alexa_1M entity.labels
misp.amazon-aws entity.labels
misp.apple entity.labels
misp.automated-malware-analysis entity.labels
misp.bank-website entity.labels
misp.captive-portals entity.labels
misp.censys-scanning entity.labels
misp.cisco_1M entity.labels
misp.cisco_top1000 entity.labels
misp.cisco_top10k entity.labels
misp.cisco_top20k entity.labels
misp.cisco_top5k entity.labels
misp.cloudflare entity.labels
misp.common-contact-emails entity.labels
misp.common-ioc-false-positive entity.labels
misp.covid entity.labels
misp.covid-19-cyber-threat-coalition-whitelist entity.labels
misp.covid-19-krassi-whitelist entity.labels
misp.crl-hostname entity.labels
misp.crl-ip entity.labels
misp.dax30 entity.labels
misp.digitalside entity.labels
misp.disposable-email entity.labels
misp.dynamic-dns entity.labels
misp.eicar.com entity.labels
misp.empty-hashes entity.labels
misp.fastly entity.labels
misp.findip-host entity.labels
misp.google entity.labels
misp.google-chrome-crux-1million entity.labels
misp.google-gcp entity.labels
misp.google-gmail-sending-ips entity.labels
misp.googlebot entity.labels
misp.ipv6-linklocal entity.labels
misp.majestic_million entity.labels
misp.majestic_million_1M entity.labels
misp.microsoft entity.labels
misp.microsoft-attack-simulator entity.labels
misp.microsoft-azure entity.labels
misp.microsoft-azure-appid entity.labels
misp.microsoft-azure-china entity.labels
misp.microsoft-azure-germany entity.labels
misp.microsoft-azure-us-gov entity.labels
misp.microsoft-office365 entity.labels
misp.microsoft-office365-cn entity.labels
misp.microsoft-office365-ip entity.labels
misp.microsoft-win10-connection-endpoints entity.labels
misp.moz-top500 entity.labels
misp.mozilla-CA entity.labels
misp.mozilla-IntermediateCA entity.labels
misp.multicast entity.labels
misp.nioc-filehash entity.labels
misp.openai-gptbot entity.labels
misp.ovh-cluster entity.labels
misp.parking-domain entity.labels
misp.parking-domain-ns entity.labels
misp.phone_numbers entity.labels
misp.public-dns-hostname entity.labels
misp.public-dns-v4 entity.labels
misp.public-dns-v6 entity.labels
misp.public-ipfs-gateways entity.labels
misp.rfc1918 entity.labels
misp.rfc3849 entity.labels
misp.rfc5735 entity.labels
misp.rfc6598 entity.labels
misp.rfc6761 entity.labels
misp.second-level-tlds entity.labels
misp.security-provider-blogpost entity.labels
misp.sinkholes entity.labels
misp.smtp-receiving-ips entity.labels
misp.smtp-sending-ips entity.labels
misp.stackpath entity.labels
misp.tenable-cloud-ipv4 entity.labels
misp.tenable-cloud-ipv6 entity.labels
misp.ti-falsepositives entity.labels
misp.tlds entity.labels
misp.tranco entity.labels
misp.tranco10k entity.labels
misp.umbrella-blockpage-hostname entity.labels
misp.umbrella-blockpage-v4 entity.labels
misp.umbrella-blockpage-v6 entity.labels
misp.university_domains entity.labels
misp.url-shortener entity.labels
misp.vpn-ipv4 entity.labels
misp.vpn-ipv6 entity.labels
misp.whats-my-ip entity.labels
misp.wikimedia entity.labels
misp.zscaler entity.labels
value entity.url Value copied directly if type == "url"
last_seen event.ioc.active_timerange.end Date parsed from last_seen using ISO8601
first_seen event.ioc.active_timerange.start Date parsed from first_seen using ISO8601
sources.0.category event.ioc.categorization Joined from sources.0.category array with comma separator
threat_rating.threat_score event.ioc.confidence_score Value copied directly
value event.ioc.domain_and_ports.domain Value copied directly if type == "fqdn"
event.ioc.feed_name event.ioc.feed_name Set to "Mandiant"
value event.ioc.ip_and_ports.ip_address Converted to ipaddress if type == "ipv4"
type metadata.entity_type Set to FILE if associated_hashes.type in md5 sha1 sha256, else DOMAIN_NAME if type == "fqdn", IP_ADDRESS if type == "ipv4", URL if type == "url", FILE if type in md5 sha1 sha256, UNKNOWN_ENTITYTYPE else
associated_hashes.type metadata.entity_type
custom_ioc_expire_date metadata.interval.end_time Date parsed from custom_ioc_expire_date using ISO8601 if type in fqdn ipv4 url
first_seen metadata.interval.start_time Date parsed from first_seen using ISO8601 or UNIX
id metadata.product_entity_id Value copied directly
threat_det metadata.threat Merged from threat_det
attributed_associations threat_det.associations Merged threat_association objects from attributed_associations and associations, with fields set from association.id, name, type, region_code.country_or_region, associated_actors, alias, role, first_reference_time, last_reference_time, industries_affected
associations threat_det.associations
campaigns threat_det.campaigns Merged campaign.name from campaigns array
category threat_det.category_details Merged from category array
threat_rating.confidence_level threat_det.confidence Set to LOW_CONFIDENCE if matches low, MEDIUM_CONFIDENCE if medium, HIGH_CONFIDENCE if high, else UNKNOWN_CONFIDENCE
threat_rating.confidence_score threat_det.confidence_details Value from threat_rating.confidence_score converted to string, or from mscore if threat_rating.confidence_score empty
mscore threat_det.confidence_details
first_seen threat_det.first_discovered_time Date from first_seen if not empty, else from firstSeen, using ISO8601 or UNIX
firstSeen threat_det.first_discovered_time
first_seen threat_det.last_updated_time Date parsed from first_seen using ISO8601 or UNIX
threat_rating.threat_score threat_det.risk_score Converted to float from threat_rating.threat_score if not empty, else from mscore
mscore threat_det.risk_score
threat_rating.severity_level threat_det.severity Set to LOW if low, MEDIUM if medium, HIGH if high, else UNKNOWN_SEVERITY
threat_det.threat_feed_name threat_det.threat_feed_name Set to "Mandiant"
value threat_det.url_back_to_product Set to "https://advantage.mandiant.com/search?query=%{value}" if type in fqdn ipv4 url md5
verdict_simple.timestamp threat_det.verdict_info Merged from verdict_info_simple after setting verdict_time from timestamp, verdict_response from verdict if malicious, verdict_type from verdict_source
verdict_simple.verdict threat_det.verdict_info
verdict_simple.verdict_source threat_det.verdict_info
metadata.product_name metadata.product_name Set to "MANDIANT_CUSTOM_IOC"
metadata.vendor_name metadata.vendor_name Set to "MANDIANT_CUSTOM_IOC"

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