Collect CrowdStrike FileVantage logs

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This document explains how to ingest CrowdStrike FileVantage logs to Google Security Operations using Amazon S3.

Before you begin

Make sure you have the following prerequisites:

  • A Google SecOps instance.
  • Privileged access to CrowdStrike Falcon Console.
  • Privileged access to AWS (S3, Identity and Access Management (IAM), Lambda, EventBridge).

Collect CrowdStrike FileVantage prerequisites (API credentials)

  1. Sign in to the CrowdStrike Falcon Console.
  2. Go to Support and resources > API clients and keys.
  3. Click Add new API client.
  4. Provide the following configuration details:
    • Client name: Enter a descriptive name (for example, Google SecOps FileVantage Integration).
    • Description: Enter a brief description of the integration purpose.
    • API scopes: Select Falcon FileVantage:read.
  5. Click Add to complete the process.
  6. Copy and save in a secure location the following details:
    • Client ID
    • Client Secret
    • Base URL (determines your cloud region)

Configure AWS S3 bucket and IAM for Google SecOps

  1. Create Amazon S3 bucket following this user guide: Creating a bucket
  2. Save bucket Name and Region for future reference (for example, crowdstrike-filevantage-logs).
  3. Create a User following this user guide: Creating an IAM user.
  4. Select the created User.
  5. Select Security credentials tab.
  6. Click Create Access Key in section Access Keys.
  7. Select Third-party service as Use case.
  8. Click Next.
  9. Optional: Add a description tag.
  10. Click Create access key.
  11. Click Download .CSV file to save the Access Key and Secret Access Key for future reference.
  12. Click Done.
  13. Select Permissions tab.
  14. Click Add permissions in section Permissions policies.
  15. Select Add permissions.
  16. Select Attach policies directly.
  17. Search for AmazonS3FullAccess policy.
  18. Select the policy.
  19. Click Next.
  20. Click Add permissions.

Configure the IAM policy and role for S3 uploads

  1. In the AWS console, go to IAM > Policies.
  2. Click Create policy > JSON tab.
  3. Copy and paste the following policy.

  4. Policy JSON (replace crowdstrike-filevantage-logs if you entered a different bucket name):

    {
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowPutObjects",
      "Effect": "Allow",
      "Action": "s3:PutObject",
      "Resource": "arn:aws:s3:::crowdstrike-filevantage-logs/*"
    },
    {
      "Sid": "AllowGetStateObject",
      "Effect": "Allow",
      "Action": "s3:GetObject",
      "Resource": "arn:aws:s3:::crowdstrike-filevantage-logs/filevantage/state.json"
    }
  ]
}

  5. Click Next > Create policy.

  6. Go to IAM > Roles > Create role > AWS service > Lambda.

  7. Attach the newly created policy.

  8. Name the role CrowdStrikeFileVantageRole and click Create role.

Create the Lambda function

  1. In the AWS Console, go to Lambda > Functions > Create function.
  2. Click Author from scratch.

  3. Provide the following configuration details:

    Setting Value
    Name crowdstrike-filevantage-logs
    Runtime Python 3.13
    Architecture x86_64
    Execution role CrowdStrikeFileVantageRole

  4. After the function is created, open the Code tab, delete the stub and paste the following code (crowdstrike-filevantage-logs.py).

    import os
import json
import boto3
import urllib3
from datetime import datetime, timezone
from urllib.parse import urlencode

def lambda_handler(event, context):
    """
    Lambda function to fetch CrowdStrike FileVantage logs and store them in S3
    """

    # Environment variables
    s3_bucket = os.environ['S3_BUCKET']
    s3_prefix = os.environ['S3_PREFIX']
    state_key = os.environ['STATE_KEY']
    client_id = os.environ['FALCON_CLIENT_ID']
    client_secret = os.environ['FALCON_CLIENT_SECRET']
    base_url = os.environ['FALCON_BASE_URL']

    # Initialize clients
    s3_client = boto3.client('s3')
    http = urllib3.PoolManager()

    try:
        # Get OAuth token
        token_url = f"{base_url}/oauth2/token"
        token_headers = {
            'Content-Type': 'application/x-www-form-urlencoded',
            'Accept': 'application/json'
        }
        token_data = urlencode({
            'client_id': client_id,
            'client_secret': client_secret,
            'grant_type': 'client_credentials'
        })

        token_response = http.request('POST', token_url, body=token_data, headers=token_headers)

        if token_response.status != 200:
            print(f"Failed to get OAuth token: {token_response.status}")
            return {'statusCode': 500, 'body': 'Authentication failed'}

        token_data = json.loads(token_response.data.decode('utf-8'))
        access_token = token_data['access_token']

        # Get last checkpoint
        last_timestamp = get_last_checkpoint(s3_client, s3_bucket, state_key)

        # Fetch file changes
        changes_url = f"{base_url}/filevantage/queries/changes/v1"
        headers = {
            'Authorization': f'Bearer {access_token}',
            'Accept': 'application/json'
        }

        # Build query parameters
        params = {
            'limit': 500,
            'sort': 'action_timestamp.asc'
        }

        if last_timestamp:
            params['filter'] = f"action_timestamp:>'{last_timestamp}'"

        query_url = f"{changes_url}?{urlencode(params)}"
        response = http.request('GET', query_url, headers=headers)

        if response.status != 200:
            print(f"Failed to query changes: {response.status}")
            return {'statusCode': 500, 'body': 'Failed to fetch changes'}

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

        if not change_ids:
            print("No new changes found")
            return {'statusCode': 200, 'body': 'No new changes'}

        # Get detailed change information
        details_url = f"{base_url}/filevantage/entities/changes/v1"
        batch_size = 100
        all_changes = []
        latest_timestamp = last_timestamp

        for i in range(0, len(change_ids), batch_size):
            batch_ids = change_ids[i:i + batch_size]
            details_params = {'ids': batch_ids}
            details_query_url = f"{details_url}?{urlencode(details_params, doseq=True)}"

            details_response = http.request('GET', details_query_url, headers=headers)

            if details_response.status == 200:
                details_data = json.loads(details_response.data.decode('utf-8'))
                changes = details_data.get('resources', [])
                all_changes.extend(changes)

                # Track latest timestamp
                for change in changes:
                    change_time = change.get('action_timestamp')
                    if change_time and (not latest_timestamp or change_time > latest_timestamp):
                        latest_timestamp = change_time

        if all_changes:
            # Store logs in S3
            timestamp = datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')
            s3_key = f"{s3_prefix}filevantage_changes_{timestamp}.json"

            s3_client.put_object(
                Bucket=s3_bucket,
                Key=s3_key,
                Body='\n'.join(json.dumps(change) for change in all_changes),
                ContentType='application/json'
            )

            # Update checkpoint
            save_checkpoint(s3_client, s3_bucket, state_key, latest_timestamp)

            print(f"Stored {len(all_changes)} changes in S3: {s3_key}")

        return {
            'statusCode': 200,
            'body': f'Processed {len(all_changes)} changes'
        }

    except Exception as e:
        print(f"Error: {str(e)}")
        return {'statusCode': 500, 'body': f'Error: {str(e)}'}

def get_last_checkpoint(s3_client, bucket, key):
    """Get the last processed timestamp from S3 state file"""
    try:
        response = s3_client.get_object(Bucket=bucket, Key=key)
        state = json.loads(response['Body'].read().decode('utf-8'))
        return state.get('last_timestamp')
    except s3_client.exceptions.NoSuchKey:
        return None
    except Exception as e:
        print(f"Error reading checkpoint: {e}")
        return None

def save_checkpoint(s3_client, bucket, key, timestamp):
    """Save the last processed timestamp to S3 state file"""
    try:
        state = {
            'last_timestamp': timestamp,
            'updated_at': datetime.now(timezone.utc).isoformat()
        }
        s3_client.put_object(
            Bucket=bucket,
            Key=key,
            Body=json.dumps(state),
            ContentType='application/json'
        )
    except Exception as e:
        print(f"Error saving checkpoint: {e}")

  5. Go to Configuration > Environment variables.

  6. Click Edit > Add new environment variable.

  7. Enter the environment variables provided in the following table, replacing the example values with your values.

    Environment variables

    Key Example value
    S3_BUCKET crowdstrike-filevantage-logs
    S3_PREFIX filevantage/
    STATE_KEY filevantage/state.json
    FALCON_CLIENT_ID <your-client-id>
    FALCON_CLIENT_SECRET <your-client-secret>
    FALCON_BASE_URL https://api.crowdstrike.com (US-1) / https://api.us-2.crowdstrike.com (US-2) / https://api.eu-1.crowdstrike.com (EU-1)

  8. After the function is created, stay on its page (or open Lambda > Functions > your-function).

  9. Select the Configuration tab.

  10. In the General configuration panel click Edit.

  11. Change Timeout to 5 minutes (300 seconds) and click Save.

Create an EventBridge schedule

  1. Go to Amazon EventBridge > Scheduler > Create schedule.
  2. Provide the following configuration details:
    • Recurring schedule: Rate (1 hour).
    • Target: your Lambda function crowdstrike-filevantage-logs.
    • Name: crowdstrike-filevantage-logs-1h.
  3. Click Create schedule.

(Optional) Create read-only IAM user and keys for Google SecOps

  1. Go to AWS Console > IAM > Users.
  2. Click Add users.
  3. Provide the following configuration details:
    • User: Enter secops-reader.
    • Access type: Select Access key – Programmatic access.
  4. Click Create user.
  5. Attach minimal read policy (custom): Users > secops-reader > Permissions > Add permissions > Attach policies directly > Create policy.

  6. JSON:

    {
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": ["s3:GetObject"],
      "Resource": "arn:aws:s3:::crowdstrike-filevantage-logs/*"
    },
    {
      "Effect": "Allow",
      "Action": ["s3:ListBucket"],
      "Resource": "arn:aws:s3:::crowdstrike-filevantage-logs"
    }
  ]
}

  7. Name = secops-reader-policy.

  8. Click Create policy > search/select > Next > Add permissions.

  9. Create access key for secops-reader: Security credentials > Access keys.

  10. Click Create access key.

  11. Download the .CSV. (You'll paste these values into the feed).

Configure a feed in Google SecOps to ingest CrowdStrike FileVantage logs

  1. Go to SIEM Settings > Feeds.
  2. Click + Add New Feed.
  3. In the Feed name field, enter a name for the feed (for example, CrowdStrike FileVantage logs).
  4. Select Amazon S3 V2 as the Source type.
  5. Select CrowdStrike Filevantage as the Log type.
  6. Click Next.
  7. Specify values for the following input parameters:
    • S3 URI: s3://crowdstrike-filevantage-logs/filevantage/
    • Source deletion options: Select deletion option according to your preference.
    • Maximum File Age: Include files modified in the last number of days. Default is 180 days.
    • Access Key ID: User access key with access to the S3 bucket.
    • Secret Access Key: User secret key with access to the S3 bucket.
    • Asset namespace: The asset namespace.
    • Ingestion labels: The label applied to the events from this feed.
  8. Click Next.
  9. Review your new feed configuration in the Finalize screen, and then click Submit.

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