Collect ForgeRock OpenIDM logs

Supported in:

This document explains how to ingest ForgeRock OpenIDM logs to Google Security Operations using Google Cloud Storage V2.

ForgeRock OpenIDM (now branded as PingIDM) is an identity management platform that provides user provisioning, synchronization, password management, and access governance. It logs identity lifecycle events, authentication attempts, reconciliation operations, and configuration changes to audit logs accessible over REST.

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
  • Privileged access to ForgeRock OpenIDM or PingIDM instance with administrative credentials

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, forgerock-openidm-audit-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 ForgeRock OpenIDM credentials

Get ForgeRock OpenIDM base URL

  1. Sign in to your ForgeRock OpenIDM or PingIDM instance.
  2. Note your base URL from the browser address bar.
    • Format: https://openidm.example.com
    • Do not include trailing slashes or paths like /admin

Get administrative credentials

  1. Obtain administrative credentials for your ForgeRock OpenIDM instance.
  2. You will need:

    • Username: Administrative username (for example, openidm-admin)
    • Password: Administrative password

Verify permissions

To verify the account has the required permissions:

  1. Sign in to ForgeRock OpenIDM.
  2. Go to Configure > System Preferences > Audit.
  3. If you can see audit configuration and topics, you have the required permissions.
  4. If you cannot see this option, contact your administrator to grant audit read permissions.

Test API access

Test your credentials before proceeding with the integration:

# Replace with your actual credentials
OPENIDM_BASE_URL="https://openidm.example.com"
OPENIDM_USERNAME="openidm-admin"
OPENIDM_PASSWORD="your-admin-password"

# Test API access to authentication audit topic
curl -v \
    -H "X-OpenIDM-Username: ${OPENIDM_USERNAME}" \
    -H "X-OpenIDM-Password: ${OPENIDM_PASSWORD}" \
    -H "Accept-API-Version: resource=1.0" \
    -H "Accept: application/json" \
    "${OPENIDM_BASE_URL}/openidm/audit/authentication?_queryFilter=true&_pageSize=1"

Expected response: HTTP 200 with JSON containing audit events.

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 forgerock-openidm-collector-sa.
    • Service account description: Enter Service account for Cloud Run function to collect ForgeRock OpenIDM 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 (for example, forgerock-openidm-audit-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, forgerock-openidm-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 forgerock-openidm-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 logs from ForgeRock OpenIDM 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 forgerock-openidm-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 forgerock-openidm-trigger.
    4. Click Save.
  6. In the Authentication section:

    1. Select Require authentication.
    2. Check Identity and Access Management (IAM).
  7. Scroll to and expand Containers, Networking, Security.

  8. Go to the Security tab:

    • Service account: Select the service account forgerock-openidm-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 forgerock-openidm-audit-logs GCS bucket name
      GCS_PREFIX openidm Prefix for log files
      STATE_KEY openidm/state.json State file path
      OPENIDM_BASE_URL https://openidm.example.com OpenIDM base URL
      OPENIDM_USERNAME openidm-admin OpenIDM admin username
      OPENIDM_PASSWORD your-admin-password OpenIDM admin password
      AUDIT_TOPICS access,activity,authentication,config,sync Comma-separated audit topics
      PAGE_SIZE 100 Records per page
      MAX_PAGES 50 Maximum pages per topic
  10. In the Variables & Secrets section, scroll down to Requests:

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

    • In the Resources section:
      • Memory: Select 512 MiB or higher.
      • CPU: Select 1.
    • In the Revision scaling section:
      • Minimum number of instances: Enter 0.
      • Maximum number of instances: Enter 100 (or adjust based on expected load).
  12. Click Create.

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

  14. 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:

    • First file: main.py:
    import functions_framework
    from google.cloud import storage
    import json
    import os
    import urllib3
    from datetime import datetime, timezone
    
    # 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', 'openidm')
    STATE_KEY = os.environ.get('STATE_KEY', 'openidm/state.json')
    OPENIDM_BASE_URL = os.environ.get('OPENIDM_BASE_URL')
    OPENIDM_USERNAME = os.environ.get('OPENIDM_USERNAME')
    OPENIDM_PASSWORD = os.environ.get('OPENIDM_PASSWORD')
    AUDIT_TOPICS = os.environ.get('AUDIT_TOPICS', 'access,activity,authentication,config,sync').split(',')
    PAGE_SIZE = int(os.environ.get('PAGE_SIZE', '100'))
    MAX_PAGES = int(os.environ.get('MAX_PAGES', '50'))
    
    @functions_framework.cloud_event
    def main(cloud_event):
        """
        Cloud Run function triggered by Pub/Sub to fetch ForgeRock OpenIDM logs and write to GCS.
    
        Args:
            cloud_event: CloudEvent object containing Pub/Sub message
        """
    
        if not all([GCS_BUCKET, OPENIDM_BASE_URL, OPENIDM_USERNAME, OPENIDM_PASSWORD]):
            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)
    
            all_events = []
            for topic in AUDIT_TOPICS:
                topic = topic.strip()
                print(f"Fetching audit logs for topic: {topic}")
                events = fetch_audit_logs(topic, state.get(topic, {}))
                all_events.extend(events)
    
                if events:
                    latest_timestamp = max(e.get('timestamp', '') for e in events)
                    state[topic] = {
                        'last_timestamp': latest_timestamp,
                        'last_run': datetime.now(timezone.utc).isoformat(),
                        'events_count': len(events)
                    }
    
            if all_events:
                write_to_gcs(bucket, all_events)
                save_state(bucket, STATE_KEY, state)
                print(f"Successfully processed {len(all_events)} audit events")
            else:
                print("No new audit events to process")
    
        except Exception as e:
            print(f'Error processing logs: {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, state):
        """Save state to GCS."""
        try:
            blob = bucket.blob(key)
            blob.upload_from_string(
                json.dumps(state, indent=2),
                content_type='application/json'
            )
            print(f"Saved state: {json.dumps(state)}")
        except Exception as e:
            print(f"Warning: Could not save state: {e}")
    
    def fetch_audit_logs(topic, topic_state):
        """
        Fetch audit logs from ForgeRock OpenIDM API with pagination.
    
        Args:
            topic: Audit topic name
            topic_state: State dictionary for this topic
    
        Returns:
            List of audit events
        """
        base_url = OPENIDM_BASE_URL.rstrip('/')
    
        all_events = []
        last_timestamp = topic_state.get('last_timestamp')
    
        query_filter = 'true'
        if last_timestamp:
            query_filter = f'timestamp gt "{last_timestamp}"'
    
        page_offset = 0
        page_count = 0
    
        while page_count < MAX_PAGES:
            try:
                url = f"{base_url}/openidm/audit/{topic}"
                params = {
                    '_queryFilter': query_filter,
                    '_pageSize': str(PAGE_SIZE),
                    '_pagedResultsOffset': str(page_offset),
                    '_sortKeys': 'timestamp'
                }
    
                query_string = '&'.join([f"{k}={urllib3.request.urlencode({k: v})[len(k)+1:]}" for k, v in params.items()])
                full_url = f"{url}?{query_string}"
    
                headers = {
                    'X-OpenIDM-Username': OPENIDM_USERNAME,
                    'X-OpenIDM-Password': OPENIDM_PASSWORD,
                    'Accept-API-Version': 'resource=1.0',
                    'Accept': 'application/json'
                }
    
                response = http.request('GET', full_url, headers=headers)
    
                if response.status != 200:
                    print(f"API error for topic {topic}: {response.status} - {response.data.decode('utf-8')}")
                    break
    
                data = json.loads(response.data.decode('utf-8'))
                events = data.get('result', [])
    
                if not events:
                    print(f"No more events for topic {topic}")
                    break
    
                all_events.extend(events)
                page_offset += PAGE_SIZE
                page_count += 1
    
                print(f"Fetched page {page_count} for topic {topic}, total events: {len(all_events)}")
    
                if len(events) < PAGE_SIZE:
                    break
    
            except urllib3.exceptions.HTTPError as e:
                print(f"HTTP error for topic {topic}: {str(e)}")
                break
            except json.JSONDecodeError as e:
                print(f"JSON decode error for topic {topic}: {str(e)}")
                break
            except Exception as e:
                print(f"Unexpected error for topic {topic}: {str(e)}")
                break
    
        return all_events
    
    def write_to_gcs(bucket, events):
        """Write events to GCS as NDJSON."""
        timestamp = datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')
        filename = f"{GCS_PREFIX}/openidm_audit_{timestamp}.json"
    
        ndjson_content = '\n'.join([json.dumps(event) for event in events])
    
        blob = bucket.blob(filename)
        blob.upload_from_string(
            ndjson_content.encode('utf-8'),
            content_type='application/x-ndjson'
        )
    
        print(f"Wrote {len(events)} events to gs://{GCS_BUCKET}/{filename}")
    
    • Second file: 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 forgerock-openidm-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 forgerock-openidm-trigger
    Message body {} (empty JSON object)
  4. Click Create.

Schedule frequency options

Choose the 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 forgerock-openidm-collector-hourly.
  2. Click Force run to trigger the job manually.
  3. Wait a few seconds.
  4. Go to Cloud Run > Services.
  5. Click your function name forgerock-openidm-collector.
  6. Click the Logs tab.
  7. Verify the function executed successfully. Look for:

    Fetching audit logs for topic: access
    Fetched page 1 for topic access, total events: X
    Wrote X events to gs://forgerock-openidm-audit-logs/openidm/openidm_audit_YYYYMMDD_HHMMSS.json
    Successfully processed X audit events
    
  8. Go to Cloud Storage > Buckets.

  9. Click on your bucket name forgerock-openidm-audit-logs.

  10. Navigate to the prefix folder openidm/.

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

If you see errors in the logs:

  • HTTP 401: Check OpenIDM credentials in environment variables
  • HTTP 403: Verify account has audit read permissions
  • HTTP 404: Verify OPENIDM_BASE_URL is correct and does not include trailing paths
  • Missing environment variables: Check all required variables are set

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.

Configure a feed in Google SecOps to ingest ForgeRock OpenIDM logs

  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, ForgeRock OpenIDM Audit Logs).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select FORGEROCK_OPENIDM as the Log type.

  7. Click Get Service Account.

  8. A unique service account email will be displayed, for example:

    chronicle-12345678@chronicle-gcp-prod.iam.gserviceaccount.com
    
  9. Copy this email address. You will use it in the next step.

  10. Click Next.

  11. Specify values for the following input parameters:

    • Storage bucket URL: Enter the GCS bucket URI with the prefix path:
    gs://forgerock-openidm-audit-logs/openidm/
    
    • Replace:
      • forgerock-openidm-audit-logs: Your GCS bucket name.
      • openidm: The prefix path where 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.
  12. Click Next.

  13. 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 your bucket name forgerock-openidm-audit-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
additional_label, additional_elapsed_time, additional_ContentLength, additional_accept_encoding, additional_Accept, additional_accept_language, additional_origin_hop, additional_cache_control, additional_Connection, additional_Cookie, additional_Pragma, additional_exchange_id, additional_contentType, additional_X-content_type-Options, fluenttag_label, source_label, topic_label, request_protocol_label, taskName_label, linkQualifier_label, situation_label, mapping_label, eventid_label, context_roles_label, field_names_label additional.fields Additional key-value pairs
Via intermediary.hostname Hostname of the intermediary
x_forwarded_ip, ip, caller.callerIps intermediary.ip IP address of the intermediary
timestamp metadata.event_timestamp Timestamp of the event
metadata.event_type Type of the event
transactionId metadata.product_deployment_id Deployment identifier of the product
eventName metadata.product_event_type Event type from the product
_id, trackingIds metadata.product_log_id Log identifier from the product
http.request.secure network.application_protocol Application protocol
http_version network.application_protocol_version Version of the application protocol
request_method, http.request.method network.http.method HTTP method
user_agent, http.request.headers.user_agent.0 network.http.parsed_user_agent Parsed user agent
refferal_url network.http.referral_url Referral URL
response.statusCode, status_code network.http.response_code HTTP response code
user_agent, http.request.headers.user_agent network.http.user_agent User agent string
transaction_id, transactionId network.session_id Session identifier
Host principal.asset.hostname Hostname of the principal's asset
true_client_ip, client.ip, context.ipAddress, entry.info.ipAddress, src_ip principal.asset.ip IP address of the principal's asset
Host principal.hostname Hostname of the principal
true_client_ip, client.ip, context.ipAddress, entry.info.ipAddress, src_ip principal.ip IP address of the principal
client.port, src_port principal.port Port of the principal
component_label, moduleId_label, query_id_label principal.resource.attribute.labels Attribute labels for the principal's resource
entry.info.treeName principal.resource.name Name of the principal's resource
sourceObjectId, objectId, entry.info.nodeId principal.resource.product_object_id Product object ID for the principal's resource
entry.info.authLevel principal.resource.resource_subtype Subtype of the principal's resource
user_roles_property_label, authentication_id_label, authentication_id_property_label principal.user.attribute.labels Attribute labels for the principal's user
userId, principalData.0 principal.user.userid User ID of the principal
security_action security_result.action Action taken in the security result
result, action security_result.action_details Details of the action
result_label, moduleId_label, nodeType_label, displayName_label, nodeOutcome_label, elapsedTimeUnits_label, elapsedTime_label, operation_label, taskName_label, linkQualifier_label, situation_label, mapping_label security_result.detection_fields Detection fields
level security_result.severity Severity of the security result
level security_result.severity_details Details of the severity
response_detail_reason security_result.summary Summary of the security result
http.request.headers.host.0 target.asset.hostname Hostname of the target's asset
server.ip, x_forwarded_ip target.asset.ip IP address of the target's asset
http.request.headers.host.0 target.hostname Hostname of the target
server.ip, x_forwarded_ip target.ip IP address of the target
server.port target.port Port of the target
targetObjectId target.resource.product_object_id Product object ID for the target's resource
http.request.path target.url URL of the target
metadata.product_name Name of the product
metadata.vendor_name Name of the vendor

Need more help? Get answers from Community members and Google SecOps professionals.