Collect CrowdStrike Falcon Event Streams logs

Supported in:

This document explains how to ingest CrowdStrike Falcon Event Streams logs to Google Security Operations using Google Cloud Storage V2. CrowdStrike Falcon Event Streams provides a real-time streaming API that delivers security event data from the Falcon platform, including detection events, audit events, authentication activity, and incident updates. The Event Streams API uses a persistent HTTP connection with the /sensors/entities/datafeed/v2 endpoint to push events in near real-time, supporting offset-based resumption for reliable delivery.

Before you begin

Make sure you have the following prerequisites:

  • 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 CrowdStrike Falcon Console with permissions to create API clients.

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, cs-stream-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.

Configure CrowdStrike Falcon API access

Create API client

  1. Sign in to the CrowdStrike Falcon Console.
  2. In the navigation menu, go to Support and resources > Resources and tools > API clients and keys.
  3. Click Create API client.
  4. Provide the following configuration details:
    • Client name: Enter a descriptive name (for example, Google SecOps Event Streams Integration).
    • Description (optional): Enter a description (for example, API client for streaming events to GCS).
  5. In the API Scopes section, select the following permission:
    • Event streams: Select Read (required to consume the streaming API).
  6. Click Create.

Record API credentials

After creating the API client, you receive the following credentials:

  • Client ID: A 32-character lowercase hexadecimal string.
  • Client Secret: A 40-character alphanumeric string.
  • Base URL: The fully qualified domain name for the CrowdStrike API (for example, api.crowdstrike.com or api.us-2.crowdstrike.com).

Important: Copy and save the Client Secret immediately. It is only displayed once and cannot be retrieved later.

Regional endpoints

CrowdStrike operates in multiple regions with different API endpoints:

Region Base URL
US-1 api.crowdstrike.com
US-2 api.us-2.crowdstrike.com
EU-1 api.eu-1.crowdstrike.com
US-GOV-1 api.laggar.gcw.crowdstrike.com

Important: Use the base URL that corresponds to your CrowdStrike Falcon Console login region.

Verify permissions

To verify the API client has the required permissions:

  1. Sign in to the CrowdStrike Falcon Console.
  2. Navigate to Support and resources > Resources and tools > API clients and keys.
  3. Find the API client you created and verify that the Event streams scope shows Read access.

Test API access

  • Test your credentials before proceeding with the integration:

    CLIENT_ID="<your-client-id>"
CLIENT_SECRET="<your-client-secret>"
BASE_URL="https://api.crowdstrike.com"

# Get OAuth2 token
TOKEN=$(curl -s -X POST "${BASE_URL}/oauth2/token" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -d "client_id=${CLIENT_ID}&client_secret=${CLIENT_SECRET}" | python3 -c "import sys,json; print(json.load(sys.stdin)['access_token'])")

# Test Event Streams API access (discover available data feeds)
curl -s -H "Authorization: Bearer ${TOKEN}" \
  "${BASE_URL}/sensors/entities/datafeed/v2?appId=secops-test&format=flatjson"

A successful response returns a JSON object containing resources with dataFeedURL and sessionToken fields for each available stream partition.

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 cs-stream-collector-sa
    • Service account description: Enter Service account for Cloud Run function to collect CrowdStrike Event Streams 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, cs-stream-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, cs-stream-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 cs-stream-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 connect to the CrowdStrike Event Streams API, consume events, 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 cs-stream-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 cs-stream-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 cs-stream-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 cs-stream-logs GCS bucket name
    GCS_PREFIX crowdstrike/stream Prefix for log files
    STATE_KEY crowdstrike/stream/state.json State file path
    CS_BASE_URL https://api.crowdstrike.com CrowdStrike API base URL
    CS_CLIENT_ID your-client-id API Client ID
    CS_CLIENT_SECRET your-client-secret API Client Secret
    CS_APP_ID secops-stream-collector Unique app ID for Event Streams (max 32 alphanumeric characters)
    STREAM_TIMEOUT 300 Stream read timeout in seconds
    MAX_RECORDS 10000 Max records per run

  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 1 (only one stream consumer should run at a time)

  13. Click Create.

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

  15. 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

# 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', 'crowdstrike/stream')
STATE_KEY = os.environ.get('STATE_KEY', 'crowdstrike/stream/state.json')
CS_BASE_URL = os.environ.get('CS_BASE_URL', 'https://api.crowdstrike.com')
CS_CLIENT_ID = os.environ.get('CS_CLIENT_ID')
CS_CLIENT_SECRET = os.environ.get('CS_CLIENT_SECRET')
CS_APP_ID = os.environ.get('CS_APP_ID', 'secops-stream-collector')
STREAM_TIMEOUT = int(os.environ.get('STREAM_TIMEOUT', '300'))
MAX_RECORDS = int(os.environ.get('MAX_RECORDS', '10000'))

def get_oauth_token(base_url: str, client_id: str, client_secret: str) -> str:
    """Get CrowdStrike OAuth2 access token."""
    token_url = f"{base_url}/oauth2/token"
    body = f"client_id={client_id}&client_secret={client_secret}"
    response = http.request(
        'POST', token_url,
        body=body.encode('utf-8'),
        headers={'Content-Type': 'application/x-www-form-urlencoded'}
    )
    if response.status != 200:
        raise Exception(f"OAuth token request failed: {response.status}")
    data = json.loads(response.data.decode('utf-8'))
    return data['access_token']

def refresh_stream_session(base_url: str, token: str, app_id: str, partition: int = 0):
    """Refresh an active stream session to keep it alive."""
    refresh_url = (
        f"{base_url}/sensors/entities/datafeed-actions/v1/{partition}"
        f"?appId={app_id}&action_name=refresh_active_stream_session"
    )
    response = http.request(
        'POST', refresh_url,
        headers={
            'Authorization': f'Bearer {token}',
            'Content-Type': 'application/json',
        }
    )
    if response.status == 200:
        print("Stream session refreshed successfully")
    else:
        print(f"Warning: Stream session refresh returned {response.status}")

@functions_framework.cloud_event
def main(cloud_event):
    """
    Cloud Run function triggered by Pub/Sub to fetch CrowdStrike
    Event Streams data and write to GCS.
    """

    if not all([GCS_BUCKET, CS_BASE_URL, CS_CLIENT_ID, CS_CLIENT_SECRET]):
        print('Error: Missing required environment variables')
        return

    try:
        bucket = storage_client.bucket(GCS_BUCKET)

        # Load state
        state = load_state(bucket, STATE_KEY)

        # Get OAuth token
        token = get_oauth_token(CS_BASE_URL, CS_CLIENT_ID, CS_CLIENT_SECRET)
        headers = {
            'Authorization': f'Bearer {token}',
            'Accept': 'application/json',
        }

        # Discover available data feeds
        discover_url = (
            f"{CS_BASE_URL}/sensors/entities/datafeed/v2"
            f"?appId={CS_APP_ID}&format=flatjson"
        )
        response = http.request('GET', discover_url, headers=headers)

        if response.status != 200:
            print(f"Failed to discover data feed: {response.status}")
            print(f"Response: {response.data.decode('utf-8')}")
            return

        feed_data = json.loads(response.data.decode('utf-8'))
        resources = feed_data.get('resources', [])

        if not resources:
            print("No data feed resources available")
            return

        feed_url = resources[0].get('dataFeedURL', '')
        session_token = resources[0].get(
            'sessionToken', {}
        ).get('token', '')

        if not feed_url or not session_token:
            print("Missing feed URL or session token")
            return

        # Build stream URL with offset if available
        stream_url = feed_url
        offset = state.get('offset')
        if offset:
            stream_url = f"{feed_url}&offset={offset}"

        # Connect to Event Stream
        stream_headers = {
            'Authorization': f'Token {session_token}',
            'Accept': 'application/json',
            'Connection': 'keep-alive',
        }

        stream_http = urllib3.PoolManager(
            timeout=urllib3.Timeout(
                connect=10.0, read=float(STREAM_TIMEOUT)
            ),
            retries=False,
        )

        print(f"Connecting to Event Stream...")
        resp = stream_http.request(
            'GET', stream_url,
            headers=stream_headers,
            preload_content=False
        )

        if resp.status != 200:
            print(f"Stream connection failed: {resp.status}")
            return

        records = []
        latest_offset = offset
        now = datetime.now(timezone.utc)

        for line in resp.stream(4096):
            decoded = line.decode('utf-8').strip()
            if not decoded:
                continue

            try:
                event = json.loads(decoded)
                records.append(event)

                event_offset = event.get(
                    'metadata', {}
                ).get('offset')
                if event_offset is not None:
                    latest_offset = event_offset

                if len(records) >= MAX_RECORDS:
                    print(
                        f"Reached max records limit ({MAX_RECORDS})"
                    )
                    break
            except json.JSONDecodeError:
                continue

        resp.release_conn()

        if not records:
            print("No new events found in stream.")
            # Refresh stream session to keep it alive
            refresh_stream_session(
                CS_BASE_URL, token, CS_APP_ID
            )
            return

        # Write to GCS as NDJSON
        timestamp = now.strftime('%Y%m%d_%H%M%S')
        object_key = f"{GCS_PREFIX}/logs_{timestamp}.ndjson"
        blob = bucket.blob(object_key)

        ndjson = '\n'.join(
            [json.dumps(r, ensure_ascii=False) for r in records]
        ) + '\n'
        blob.upload_from_string(
            ndjson, content_type='application/x-ndjson'
        )

        print(
            f"Wrote {len(records)} records to "
            f"gs://{GCS_BUCKET}/{object_key}"
        )

        # Save state with latest offset
        new_state = {
            'offset': latest_offset,
            'last_run': now.isoformat()
        }
        save_state(bucket, STATE_KEY, new_state)

        # Refresh stream session to keep it alive
        refresh_stream_session(
            CS_BASE_URL, token, CS_APP_ID
        )

        print(f"Successfully processed {len(records)} events")

    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: dict):
    """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: {state}")
    except Exception as e:
        print(f"Warning: Could not save state: {e}")

    requirements.txt:

    ```none
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 cs-stream-collector-scheduled
    Region Select same region as Cloud Run function
    Frequency */15 * * * * (every 15 minutes)
    Timezone Select timezone (UTC recommended)
    Target type Pub/Sub
    Topic Select cs-stream-trigger
    Message body {} (empty JSON object)

  4. Click Create.

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 cs-stream-collector.
  6. Click the Logs tab.

  7. Verify the function executed successfully. Look for:

    Connecting to Event Stream...
Wrote X records to gs://cs-stream-logs/crowdstrike/stream/logs_YYYYMMDD_HHMMSS.ndjson
Stream session refreshed successfully
Successfully processed X events

  8. Go to Cloud Storage > Buckets.

  9. Click on cs-stream-logs.

  10. Navigate to the crowdstrike/stream/ folder.

  11. Verify that a new .ndjson 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 API client has Event streams: Read scope
  • HTTP 429: Rate limiting - adjust scheduler frequency or increase STREAM_TIMEOUT
  • Missing environment variables: Check all required variables are set
  • No data feed resources available: Verify CS_APP_ID is unique and does not exceed 32 alphanumeric characters

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, CrowdStrike Event Streams logs).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select CrowdStrike Falcon Streaming 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 for use 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://cs-stream-logs/crowdstrike/stream/

    • 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 on cs-stream-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.

Need more help?

For more information about Google Security Operations feeds, see Google Security Operations feeds documentation. For information about requirements for each feed type, see Feed configuration by type.

For reference, see the CrowdStrike Falcon Event Streams parser documentation.

UDM mapping table

Log Field UDM Mapping Logic
event_data.AssociatedFile about.file.full_path Directly mapped
event_data.IOCValue about.file.sha256 Directly mapped
ActivityId_label additional.fields Merged
ActivityOperatingSystem_label additional.fields Merged
ModelAnomalyIndicators_label additional.fields Merged
SourceEndpointIpReputation_label additional.fields Merged
SourceIpIspClassification_label additional.fields Merged
SourceIpIspDomain_label additional.fields Merged
additional_deviceCustomDate1 additional.fields Merged
additional_domainname additional.fields Merged
commands_label additional.fields Merged
data_domains_label additional.fields Merged
dns_request_domain_name_label additional.fields Merged
dns_request_type_label additional.fields Merged
dnsrequest_interface_index_label additional.fields Merged
dnsrequest_load_time_label additional.fields Merged
eventType additional.fields Mapped values (8 total, e.g. "EppDetectionSummaryEvent","IdpDetectionSummaryEvent" → `file...
event_data_ContextTimeStamp_id_label additional.fields Merged
event_data_MobileDetectionId_id_label additional.fields Merged
field1 additional.fields Merged
fileaccessed_full_path_label additional.fields Merged
fileaccessed_timestamp_label additional.fields Merged
filewritten_full_path_label additional.fields Merged
filewritten_timestamp_label additional.fields Merged
reputation_label_list_values additional.fields Merged
sourceipasncode_label additional.fields Merged
sourceipasnorg_label additional.fields Merged
eventType extensions.auth.mechanism Mapped: "saml2Assert", "twoFactorAuthenticate" → mechanism
mechanism extensions.auth.mechanism Merged
eventType extensions.auth.type Mapped: "assert", "userAuthenticate" → AUTHTYPE_UNSPECIFIED
description metadata.description Directly mapped
event_data.Description metadata.description Directly mapped
incidentDescription metadata.description Directly mapped
msg metadata.description Directly mapped
name metadata.description Directly mapped
serviceName metadata.description Directly mapped
devTime metadata.event_timestamp Parsed as yyyy-MM-dd HH:mm:ss
deviceCustomDate1 metadata.event_timestamp Parsed as MMM dd yyyy HH:mm:ss
event_data.UTCTimestamp metadata.event_timestamp Parsed as UNIX_MS
meta.eventCreationTime metadata.event_timestamp Parsed as UNIX_MS
meta.event_dataCreationTime metadata.event_timestamp Parsed as UNIX_MS
timestamp metadata.event_timestamp Parsed as UNIX_MS
eventType metadata.event_type Mapped values (6 total, e.g. "saml2Assert", "twoFactorAuthenticate" → USER_LOGIN, ` "r...
has_principal metadata.event_type Mapped: true → STATUS_UPDATE, true → SCAN_FILE
has_user metadata.event_type Mapped: false → GENERIC_EVENT
cid metadata.product_deployment_id Directly mapped
eventType metadata.product_event_type Directly mapped
event_data_simpleName metadata.product_event_type Directly mapped
event_data.AgentId metadata.product_log_id Directly mapped
id metadata.product_log_id Directly mapped
product metadata.product_name Directly mapped
meta.version metadata.product_version Directly mapped
version metadata.product_version Directly mapped
cs6 metadata.url_back_to_product Directly mapped
url metadata.url_back_to_product Directly mapped
vendor metadata.vendor_name Directly mapped
connectionDirection network.direction Mapped: 0 → OUTBOUND, 1 → INBOUND
event_data.Attributes.request_method network.http.method Directly mapped
event_data.FalconHostLink network.http.referral_url Directly mapped
request network.http.referral_url Directly mapped
event_data.Attributes.status_code network.http.response_code Directly mapped
event_data.Attributes.user_agent network.http.user_agent Directly mapped
protocol network.ip_protocol Mapped: 6 → TCP, 17 → UDP, 58 → ICMP
event_data.Attributes.trace_id network.session_id Directly mapped
event_data.SessionId network.session_id Directly mapped
value_issuer network.tls.server.certificate.issuer Directly mapped
domain principal.administrative_domain Directly mapped
event_data.DataDomains principal.administrative_domain Directly mapped
event_data.SourceAccountDomain principal.administrative_domain Directly mapped
event_data_ActivityBrowser principal.application Directly mapped
aid principal.asset.asset_id Directly mapped
event_data.AgentIdString principal.asset.asset_id Directly mapped
event_data_SensorId principal.asset.asset_id Directly mapped
ComputerName principal.asset.hostname Directly mapped
endpointName principal.asset.hostname Directly mapped
event_data.EndpointName principal.asset.hostname Directly mapped
event_data.Hostname principal.asset.hostname Directly mapped
event_data.HostnameField principal.asset.hostname Directly mapped
event_data.SourceEndpointHostName principal.asset.hostname Directly mapped
event_data_ComputerName principal.asset.hostname Directly mapped
hostName principal.asset.hostname Directly mapped
ClientIP principal.asset.ip Merged
LocalAddressIP4 principal.asset.ip Merged
aip principal.asset.ip Merged
event_data.EndpointIp principal.asset.ip Merged
event_data.LocalIP principal.asset.ip Merged
event_data.LocalIPv6 principal.asset.ip Merged
event_data.SourceEndpointIpAddress principal.asset.ip Merged
event_data.UserIp principal.asset.ip Merged
ip principal.asset.ip Merged
localAddress principal.asset.ip Merged
remoteAddress principal.asset.ip Merged
src principal.asset.ip Merged
event_data.MACAddress principal.asset.mac Merged
event_data_SensorId principal.asset_id Directly mapped
ComputerName principal.hostname Directly mapped
endpointName principal.hostname Directly mapped
event_data.EndpointName principal.hostname Directly mapped
event_data.Hostname principal.hostname Directly mapped
event_data.HostnameField principal.hostname Directly mapped
event_data.SourceEndpointHostName principal.hostname Directly mapped
event_data_ComputerName principal.hostname Directly mapped
hostName principal.hostname Directly mapped
ClientIP principal.ip Merged
LocalAddressIP4 principal.ip Merged
aip principal.ip Merged
event_data.EndpointIp principal.ip Merged
event_data.LocalIP principal.ip Merged
event_data.LocalIPv6 principal.ip Merged
event_data.SourceEndpointIpAddress principal.ip Merged
event_data.UserIp principal.ip Merged
ip principal.ip Merged
localAddress principal.ip Merged
remoteAddress principal.ip Merged
src principal.ip Merged
event_data_LocationCountryCode principal.location.country_or_region Directly mapped
event_data.MACAddress principal.mac Merged
srcMAC principal.mac Merged
event_data_platformName principal.platform Mapped: (?i)Linux → LINUX, (?i)Windows → WINDOWS, (?i)mac/ios → MAC
localPort principal.port Directly mapped
exeWrittenFilePath principal.process.file.full_path Directly mapped
event_data.ParentCommandLine principal.process.parent_process.command_line Directly mapped
event_data.ParentImageFilePath principal.process.parent_process.file.full_path Directly mapped
eventType principal.process.parent_process.file.names Mapped: "EppDetectionSummaryEvent","IdpDetectionSummaryEvent" → `event_data.ParentImageFil...
event_data.ParentImageFileName principal.process.parent_process.file.names Merged
event_data.ParentProcessId principal.process.parent_process.pid Directly mapped
event_data.ProcessId principal.process.pid Directly mapped
event_data.Attributes.assign_to_user_id principal.user.email_addresses Merged
event_data.SourceAccountUpn principal.user.email_addresses Merged
userName principal.user.email_addresses Mapped: ^.+@.+$ → userName
user_email principal.user.email_addresses Merged
eventType principal.user.group_identifiers Mapped: "EppDetectionSummaryEvent","IdpDetectionSummaryEvent" → event_data.LogonDomain
event_data.LogonDomain principal.user.group_identifiers Merged
event_data.Attributes.assign_to_name principal.user.user_display_name Directly mapped
event_data.UserName principal.user.user_display_name Directly mapped
event_data.SourceAccountName principal.user.userid Directly mapped
event_data.UserId principal.user.userid Directly mapped
userName principal.user.userid Directly mapped
usrName principal.user.userid Directly mapped
event_data.SourceAccountObjectSid principal.user.windows_sid Directly mapped
_security_result security_result Merged
applicationName target.application Directly mapped
event_data.Source target.application Directly mapped
event_data_SsoApplicationIdentifier target.application Directly mapped
serviceName target.application Directly mapped
event_data.CompositeId target.asset.asset_id Directly mapped
dhost target.asset.hostname Directly mapped
event_data.TargetEndpointHostName target.asset.hostname Directly mapped
IP target.asset.ip Merged
dst target.asset.ip Merged
event_data.IOCValue target.asset.ip Merged
event_data.TargetEndpointIpAddress target.asset.ip Merged
TargetFileName target.file.full_path Directly mapped
event_data.FilePath target.file.full_path Directly mapped
event_data.MD5String target.file.md5 Directly mapped
eventType target.file.names Mapped: "EppDetectionSummaryEvent","IdpDetectionSummaryEvent" → fileaccessed.FileName, `...
event_data.FileName target.file.names Merged
exeWrittenFileName target.file.names Merged
fileName target.file.names Merged
fileaccessed.FileName target.file.names Merged
filewritten.FileName target.file.names Merged
event_data.SHA1String target.file.sha1 Directly mapped
event_data.SHA256String target.file.sha256 Directly mapped
sha256 target.file.sha256 Directly mapped
Size target.file.size Directly mapped
dhost target.hostname Directly mapped
event_data.TargetEndpointHostName target.hostname Directly mapped
IP target.ip Merged
dst target.ip Merged
event_data.IOCValue target.ip Merged
event_data.TargetEndpointIpAddress target.ip Merged
dpt target.port Renamed/mapped
remotePort target.port Renamed/mapped
cmdLine target.process.command_line Directly mapped
commandLine target.process.command_line Directly mapped
event_data.CommandLine target.process.command_line Directly mapped
filePath target.process.file.full_path Directly mapped
md5 target.process.file.md5 Directly mapped
event_data_itempostedtimestamp_label target.resource.attribute.labels Merged
event_data_itemtype_label target.resource.attribute.labels Merged
resource target.resource.name Directly mapped
event_data_itemid target.resource.product_object_id Directly mapped
eventType target.resource.type Mapped: "remove_group", "update_group" → GROUP, delete_group → GROUP
event_data.Attributes.request_path target.url Directly mapped
eventType target.user.email_addresses Mapped: "saml2Assert", "twoFactorAuthenticate", "assert", "userAuthenticate" → user_email
user_email target.user.email_addresses Merged
usrName target.user.userid Directly mapped
event_data.TargetEndpointAccountObjectSid target.user.windows_sid Directly mapped
N/A extensions.auth.type Constant: AUTHTYPE_UNSPECIFIED
N/A metadata.event_type Constant: GENERIC_EVENT
N/A metadata.product_name Constant: FalconHost
N/A metadata.vendor_name Constant: CrowdStrike
N/A network.direction Constant: OUTBOUND
N/A network.ip_protocol Constant: TCP
N/A principal.platform Constant: LINUX
N/A target.resource.type Constant: GROUP

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