Collect Bitwarden Enterprise Event Logs

Supported in:

This document explains how to ingest Bitwarden Enterprise Event Logs to Google Security Operations using Google Cloud Storage. The parser transforms raw JSON formatted event logs into a structured format conforming to the SecOps UDM. It extracts relevant fields like user details, IP addresses, and event types, mapping them to corresponding UDM fields for consistent security analysis.

Before you begin

Ensure that you have the following prerequisites:

  • A Google SecOps instance
  • Privileged access to Bitwarden tenant
  • 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 Bitwarden API key and URL

  1. In the Bitwarden Admin Console, go to Settings > Organization info > View API key.
  2. Copy and save the following details to a secure location:
    • Client ID
    • Client Secret
  3. Determine your Bitwarden endpoints (based on region):

    • IDENTITY_URL = https://identity.bitwarden.com/connect/token (EU: https://identity.bitwarden.eu/connect/token)
    • API_BASE = https://api.bitwarden.com (EU: https://api.bitwarden.eu)

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, bitwarden-events)
    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 Bitwarden API prerequisites

You have already collected the Bitwarden API credentials in the previous step:

  • Client ID: Organization client ID from Bitwarden Admin Console
  • Client Secret: Organization client secret from Bitwarden Admin Console
  • IDENTITY_URL: https://identity.bitwarden.com/connect/token (or EU endpoint)
  • API_BASE: https://api.bitwarden.com (or EU endpoint)

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 bitwarden-events-collector-sa.
    • Service account description: Enter Service account for Cloud Run function to collect Bitwarden Enterprise Event logs.
  4. Click Create and Continue.
  5. In the Grant this service account access to project section, add the following roles:
    1. Click Select a role.
    2. Search for and select Storage Object Admin.
    3. Click + Add another role.
    4. Search for and select Cloud Run Invoker.
    5. Click + Add another role.
    6. Search for and select Cloud Functions Invoker.
  6. Click Continue.
  7. Click Done.

These roles are required for:

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

Grant IAM permissions on GCS bucket

Grant the service account write permissions on the GCS bucket:

  1. Go to Cloud Storage > Buckets.
  2. Click your bucket name.
  3. Go to the Permissions tab.
  4. Click Grant access.
  5. Provide the following configuration details:
    • Add principals: Enter the service account email (for example, bitwarden-events-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 bitwarden-events-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 Bitwarden Events API and writes them to GCS.

  1. In the GCP Console, go to Cloud Run.
  2. Click Create service.
  3. Select Function (use an inline editor to create a function).
  4. In the Configure section, provide the following configuration details:

    Setting Value
    Service name bitwarden-events-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 (bitwarden-events-trigger).
    4. Click Save.
  6. In the Authentication section:

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

  8. Go to the Security tab:

    • Service account: Select the service account (bitwarden-events-collector-sa).
  9. Go to the Containers tab:

    1. Click Variables & Secrets.
    2. Click + Add variable for each environment variable:
    Variable Name Example Value
    GCS_BUCKET bitwarden-events
    GCS_PREFIX bitwarden/events
    STATE_KEY bitwarden/events/state.json
    BW_CLIENT_ID organization.your-client-id
    BW_CLIENT_SECRET your-client-secret
    IDENTITY_URL https://identity.bitwarden.com/connect/token
    API_BASE https://api.bitwarden.com
    MAX_PAGES 10
  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.
  12. In the Revision scaling section:

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

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

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

Add function code

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

    • First file: main.py:
    import functions_framework
    from google.cloud import storage
    import json
    import os
    import urllib3
    from datetime import datetime, timezone
    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()
    
    @functions_framework.cloud_event
    def main(cloud_event):
        """
        Cloud Run function triggered by Pub/Sub to fetch events from Bitwarden API and write to GCS.
    
        Args:
            cloud_event: CloudEvent object containing Pub/Sub message
        """
    
        # Get environment variables
        bucket_name = os.environ.get('GCS_BUCKET')
        prefix = os.environ.get('GCS_PREFIX', 'bitwarden/events').strip('/')
        state_key = os.environ.get('STATE_KEY', 'bitwarden/events/state.json')
    
        # Bitwarden API credentials
        identity_url = os.environ.get('IDENTITY_URL', 'https://identity.bitwarden.com/connect/token')
        api_base = os.environ.get('API_BASE', 'https://api.bitwarden.com').rstrip('/')
        client_id = os.environ.get('BW_CLIENT_ID')
        client_secret = os.environ.get('BW_CLIENT_SECRET')
        max_pages = int(os.environ.get('MAX_PAGES', '10'))
    
        if not all([bucket_name, client_id, client_secret]):
            print('Error: Missing required environment variables')
            return
    
        try:
            # Get GCS bucket
            bucket = storage_client.bucket(bucket_name)
    
            # Load state (continuation token)
            state = load_state(bucket, state_key)
            continuation_token = state.get('continuationToken')
    
            print(f'Processing events with continuation token: {continuation_token}')
    
            # Get OAuth token
            access_token = get_oauth_token(identity_url, client_id, client_secret)
    
            # Fetch events from Bitwarden API
            run_timestamp = int(datetime.now(timezone.utc).timestamp())
            pages = 0
            total_events = 0
            written_files = []
    
            while pages < max_pages:
                events_data = fetch_events(api_base, access_token, continuation_token)
    
                # Extract events array from API response
                events = events_data.get('data', [])
    
                # Only write file if there are events
                if events:
                    gcs_key = write_events_jsonl(bucket, events, prefix, run_timestamp, pages)
                    if gcs_key:
                        written_files.append(gcs_key)
                    total_events += len(events)
    
                pages += 1
    
                # Check for next page token
                next_token = events_data.get('continuationToken')
                if next_token:
                    continuation_token = next_token
                    continue
                else:
                    # No more pages
                    break
    
            # Save state only if there are more pages to continue in next run
            # If we hit MAX_PAGES and there's still a continuation token, save it
            # Otherwise, clear the state (set to None)
            save_state(bucket, state_key, {
                'continuationToken': continuation_token if pages >= max_pages and continuation_token else None
            })
    
            print(f'Successfully processed {total_events} events across {pages} pages')
            print(f'Files written: {len(written_files)}')
    
        except Exception as e:
            print(f'Error processing events: {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: {str(e)}')
        return {}
    
    def save_state(bucket, key, state):
        """Save state to GCS."""
        try:
            blob = bucket.blob(key)
            blob.upload_from_string(
                json.dumps(state),
                content_type='application/json'
            )
        except Exception as e:
            print(f'Warning: Could not save state: {str(e)}')
    
    def get_oauth_token(identity_url, client_id, client_secret):
        """Get OAuth 2.0 access token from Bitwarden."""
        body_data = {
            'grant_type': 'client_credentials',
            'scope': 'api.organization',
            'client_id': client_id,
            'client_secret': client_secret
        }
    
        encoded_data = '&'.join([f'{k}={v}' for k, v in body_data.items()]).encode('utf-8')
    
        response = http.request(
            'POST',
            identity_url,
            body=encoded_data,
            headers={'Content-Type': 'application/x-www-form-urlencoded'}
        )
    
        if response.status != 200:
            raise Exception(f'Failed to get OAuth token: {response.status} {response.data.decode("utf-8")}')
    
        token_data = json.loads(response.data.decode('utf-8'))
        return token_data['access_token']
    
    def fetch_events(api_base, access_token, continuation_token=None):
        """Fetch events from Bitwarden API with pagination."""
        url = f'{api_base}/public/events'
        if continuation_token:
            url += f'?continuationToken={continuation_token}'
    
        response = http.request(
            'GET',
            url,
            headers={
                'Authorization': f'Bearer {access_token}',
                'Accept': 'application/json'
            }
        )
    
        if response.status == 429:
            retry_after = int(response.headers.get('Retry-After', '60'))
            print(f'Rate limited (429). Retrying after {retry_after}s...')
            import time
            time.sleep(retry_after)
            return fetch_events(api_base, access_token, continuation_token)
    
        if response.status != 200:
            raise Exception(f'Failed to fetch events: {response.status} {response.data.decode("utf-8")}')
    
        return json.loads(response.data.decode('utf-8'))
    
    def write_events_jsonl(bucket, events, prefix, run_timestamp, page_index):
        """
        Write events in JSONL format (one JSON object per line).
        Only writes if there are events to write.
        Returns the GCS key of the written file.
        """
        if not events:
            return None
    
        # Build JSONL content: one event per line
        lines = [json.dumps(event, separators=(',', ':')) for event in events]
        jsonl_content = '\n'.join(lines) + '\n'  # JSONL format with trailing newline
    
        # Generate unique filename with page number to avoid conflicts
        timestamp_str = datetime.fromtimestamp(run_timestamp, tz=timezone.utc).strftime('%Y/%m/%d/%H%M%S')
        key = f'{prefix}/{timestamp_str}-page{page_index:05d}-bitwarden-events.jsonl'
    
        blob = bucket.blob(key)
        blob.upload_from_string(
            jsonl_content,
            content_type='application/x-ndjson'
        )
    
        print(f'Wrote {len(events)} events to {key}')
        return key
    
    • 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 publishes 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 bitwarden-events-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 (bitwarden-events-trigger)
    Message body {} (empty JSON object)
  4. Click Create.

Schedule frequency options

  • Choose frequency based on log volume and latency requirements:

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

Test the integration

  1. In the Cloud Scheduler console, find your job.
  2. Click Force run to trigger the job manually.
  3. Wait a few seconds.
  4. Go to Cloud Run > Services.
  5. Click on your function name (bitwarden-events-collector).
  6. Click the Logs tab.
  7. Verify the function executed successfully. Look for:

    Processing events with continuation token: None
    Page 1: Retrieved X events
    Wrote X events to bitwarden/events/YYYY/MM/DD/HHMMSS-page00000-bitwarden-events.jsonl
    Successfully processed X events across 1 pages
    
  8. Go to Cloud Storage > Buckets.

  9. Click your bucket name.

  10. Navigate to the prefix folder (bitwarden/events/).

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

If you see errors in the logs:

  • HTTP 401: Check API credentials in environment variables
  • HTTP 403: Verify account has required permissions and Events feature is enabled in Organization Settings
  • HTTP 429: Rate limiting - function will automatically retry with backoff
  • 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.

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, Bitwarden Events).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select Bitwarden events 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.

Grant IAM permissions to the Google SecOps service account

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

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

Configure a feed in Google SecOps to ingest Bitwarden Enterprise Event 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, Bitwarden Events).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select Bitwarden events as the Log type.
  7. Click Next.
  8. Specify values for the following input parameters:

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

      gs://bitwarden-events/bitwarden/events/
      
      • Replace:

        • bitwarden-events: Your GCS bucket name.
        • bitwarden/events/: Prefix/folder 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.

  9. Click Next.

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

UDM mapping table

Log Field UDM Mapping Logic
actingUserId target.user.userid If enriched.actingUser.userId is empty or null, this field is used to populate the target.user.userid field.
collectionID security_result.detection_fields.key Populates the key field within detection_fields in security_result.
collectionID security_result.detection_fields.value Populates the value field within detection_fields in security_result.
date metadata.event_timestamp Parsed and converted to a timestamp format and mapped to event_timestamp.
enriched.actingUser.accessAll security_result.rule_labels.key Sets the value to "Access_All" within rule_labels in security_result.
enriched.actingUser.accessAll security_result.rule_labels.value Populates the value field within rule_labels in security_result with the value from enriched.actingUser.accessAll converted to string.
enriched.actingUser.email target.user.email_addresses Populates the email_addresses field within target.user.
enriched.actingUser.id metadata.product_log_id Populates the product_log_id field within metadata.
enriched.actingUser.id target.labels.key Sets the value to "ID" within target.labels.
enriched.actingUser.id target.labels.value Populates the value field within target.labels with the value from enriched.actingUser.id.
enriched.actingUser.name target.user.user_display_name Populates the user_display_name field within target.user.
enriched.actingUser.object target.labels.key Sets the value to "Object" within target.labels.
enriched.actingUser.object target.labels.value Populates the value field within target.labels with the value from enriched.actingUser.object.
enriched.actingUser.resetPasswordEnrolled target.labels.key Sets the value to "ResetPasswordEnrolled" within target.labels.
enriched.actingUser.resetPasswordEnrolled target.labels.value Populates the value field within target.labels with the value from enriched.actingUser.resetPasswordEnrolled converted to string.
enriched.actingUser.twoFactorEnabled security_result.rule_labels.key Sets the value to "Two Factor Enabled" within rule_labels in security_result.
enriched.actingUser.twoFactorEnabled security_result.rule_labels.value Populates the value field within rule_labels in security_result with the value from enriched.actingUser.twoFactorEnabled converted to string.
enriched.actingUser.userId target.user.userid Populates the userid field within target.user.
enriched.collection.id additional.fields.key Sets the value to "Collection ID" within additional.fields.
enriched.collection.id additional.fields.value.string_value Populates the string_value field within additional.fields with the value from enriched.collection.id.
enriched.collection.object additional.fields.key Sets the value to "Collection Object" within additional.fields.
enriched.collection.object additional.fields.value.string_value Populates the string_value field within additional.fields with the value from enriched.collection.object.
enriched.type metadata.product_event_type Populates the product_event_type field within metadata.
groupId target.user.group_identifiers Adds the value to the group_identifiers array within target.user.
ipAddress principal.ip Extracted IP address from the field and mapped to principal.ip.
N/A extensions.auth An empty object is created by the parser.
N/A metadata.event_type Determined based on the enriched.type and presence of principal and target information. Possible values: USER_LOGIN, STATUS_UPDATE, GENERIC_EVENT.
N/A security_result.action Determined based on the enriched.type. Possible values: ALLOW, BLOCK.
object additional.fields.key Sets the value to "Object" within additional.fields.
object additional.fields.value Populates the value field within additional.fields with the value from object.

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