Collect Cisco vManage SD-WAN logs

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This document explains how to ingest Cisco vManage SD-WAN logs to Google Security Operations using Google Cloud Storage. Cisco vManage SD-WAN is a centralized network management system that provides visibility and control over SD-WAN fabric, enabling administrators to monitor network performance, configure policies, and manage security across distributed enterprise networks.

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 the Cisco vManage SD-WAN management console
  • Cisco vManage user account with API access permissions

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, cisco-sdwan-logs-bucket)
    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 Cisco vManage SD-WAN API credentials

Create API user account

  1. Sign in to the Cisco vManage Management Console.
  2. Go to Administration > Settings > Users.
  3. Click Add User.
  4. Provide the following configuration details:
    • Username: Enter a username for API access (for example, chronicle-api).
    • Password: Enter a strong password.
    • Confirm Password: Re-enter the password.
    • User Group: Select a user group with appropriate permissions (see next section).
  5. Click Add.
  6. Copy and save in a secure location the following details:

    • Username: Your vManage username.
    • Password: Your vManage password.
    • vManage Base URL: The base URL of your vManage server (for example, https://your-vmanage-server:8443).

Configure user permissions

The API user account requires specific permissions to access audit logs, alarms, and events.

  1. In the Cisco vManage Management Console, go to Administration > Settings > User Groups.
  2. Select the user group assigned to the API user (or create a new group).
  3. Click Edit.
  4. In the Feature section, ensure the following permissions are enabled:
    • Audit Log: Select Read permission.
    • Alarms: Select Read permission.
    • Events: Select Read permission.
  5. Click Update.

Verify API access

Test your credentials before proceeding with the integration:

  1. Open a terminal or command prompt.
  2. Run the following command to test authentication:

    # Replace with your actual credentials
    VMANAGE_HOST="https://your-vmanage-server:8443"
    VMANAGE_USERNAME="chronicle-api"
    VMANAGE_PASSWORD="your-password"
    
    # Test authentication (returns JSESSIONID cookie)
    curl -c cookies.txt -X POST \
      "${VMANAGE_HOST}/j_security_check" \
      -H "Content-Type: application/x-www-form-urlencoded" \
      -d "j_username=${VMANAGE_USERNAME}&j_password=${VMANAGE_PASSWORD}"
    
    # Get CSRF token
    curl -b cookies.txt \
      "${VMANAGE_HOST}/dataservice/client/token"
    

If authentication is successful, the second command will return a CSRF token string.

Note: In production environments, configure valid TLS certificates on vManage and verify certificates in the HTTP client. The code examples use certificate verification disabled for testing purposes only.

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 cisco-sdwan-collector-sa.
    • Service account description: Enter Service account for Cloud Run function to collect Cisco vManage SD-WAN 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, cisco-sdwan-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 cisco-sdwan-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 Cisco vManage SD-WAN 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 cisco-sdwan-log-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 topic (cisco-sdwan-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 (cisco-sdwan-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 cisco-sdwan-logs-bucket
    GCS_PREFIX cisco-sdwan/
    STATE_KEY cisco-sdwan/state.json
    VMANAGE_HOST https://your-vmanage-server:8443
    VMANAGE_USERNAME chronicle-api
    VMANAGE_PASSWORD your-vmanage-password
  10. Scroll down in the Variables & Secrets tab to Requests:

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

    • In the Resources section:
      • Memory: Select 512 MiB or higher.
      • CPU: Select 1.
    • Click Done.
  12. Scroll down to Execution environment:

    • Select Default (recommended).
  13. In the Revision scaling section:

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

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

  16. 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 time
    
    # Disable SSL warnings for self-signed certificates (testing only)
    urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
    
    # Initialize HTTP client with timeouts
    http = urllib3.PoolManager(
        timeout=urllib3.Timeout(connect=10.0, read=60.0),
        cert_reqs='ssl.CERT_NONE',
        retries=urllib3.Retry(total=3, backoff_factor=1)
    )
    
    # Environment variables
    VMANAGE_HOST = os.environ['VMANAGE_HOST']
    VMANAGE_USERNAME = os.environ['VMANAGE_USERNAME']
    VMANAGE_PASSWORD = os.environ['VMANAGE_PASSWORD']
    GCS_BUCKET = os.environ['GCS_BUCKET']
    GCS_PREFIX = os.environ['GCS_PREFIX']
    STATE_KEY = os.environ['STATE_KEY']
    
    # Initialize clients
    storage_client = storage.Client()
    
    class VManageAPI:
        def __init__(self, host, username, password):
            self.host = host.rstrip('/')
            self.username = username
            self.password = password
            self.cookies = None
            self.token = None
    
        def authenticate(self):
            """Authenticate with vManage and get session tokens"""
            try:
                # Login to get JSESSIONID
                login_url = f"{self.host}/j_security_check"
    
                # Encode credentials properly
                import urllib.parse
                login_data = urllib.parse.urlencode({
                    'j_username': self.username,
                    'j_password': self.password
                }).encode('utf-8')
    
                response = http.request(
                    'POST',
                    login_url,
                    body=login_data,
                    headers={'Content-Type': 'application/x-www-form-urlencoded'},
                )
    
                # Check if login was successful
                if b'<html>' in response.data or response.status != 200:
                    print(f"Authentication failed: HTTP {response.status}")
                    return False
    
                # Extract cookies
                self.cookies = {}
                if 'Set-Cookie' in response.headers:
                    cookie_header = response.headers['Set-Cookie']
                    for cookie in cookie_header.split(';'):
                        if 'JSESSIONID=' in cookie:
                            self.cookies['JSESSIONID'] = cookie.split('JSESSIONID=')[1].split(';')[0]
                            break
    
                if not self.cookies.get('JSESSIONID'):
                    print("Failed to get JSESSIONID")
                    return False
    
                # Get XSRF token
                token_url = f"{self.host}/dataservice/client/token"
                headers = {
                    'Content-Type': 'application/json',
                    'Cookie': f"JSESSIONID={self.cookies['JSESSIONID']}"
                }
                response = http.request('GET', token_url, headers=headers)
    
                if response.status == 200:
                    self.token = response.data.decode('utf-8')
                    print("Successfully authenticated with vManage")
                    return True
                else:
                    print(f"Failed to get XSRF token: HTTP {response.status}")
                    return False
    
            except Exception as e:
                print(f"Authentication error: {e}")
                return False
    
        def get_headers(self):
            """Get headers for API requests"""
            return {
                'Content-Type': 'application/json',
                'Cookie': f"JSESSIONID={self.cookies['JSESSIONID']}",
                'X-XSRF-TOKEN': self.token
            }
    
        def get_audit_logs(self, last_timestamp=None):
            """Get audit logs from vManage"""
            try:
                url = f"{self.host}/dataservice/auditlog"
                headers = self.get_headers()
    
                query = {
                    "query": {
                        "condition": "AND",
                        "rules": []
                    },
                    "size": 10000
                }
    
                if last_timestamp:
                    if isinstance(last_timestamp, str):
                        try:
                            dt = datetime.fromisoformat(last_timestamp.replace('Z', '+00:00'))
                            epoch_ms = int(dt.timestamp() * 1000)
                        except:
                            epoch_ms = int(last_timestamp)
                    else:
                        epoch_ms = int(last_timestamp)
    
                    query["query"]["rules"].append({
                        "value": [str(epoch_ms)],
                        "field": "entry_time",
                        "type": "date",
                        "operator": "greater"
                    })
                else:
                    query["query"]["rules"].append({
                        "value": ["1"],
                        "field": "entry_time",
                        "type": "date",
                        "operator": "last_n_hours"
                    })
    
                response = http.request(
                    'POST',
                    url,
                    body=json.dumps(query),
                    headers=headers,
                )
    
                if response.status == 200:
                    return json.loads(response.data.decode('utf-8'))
                else:
                    print(f"Failed to get audit logs: HTTP {response.status}")
                    return None
    
            except Exception as e:
                print(f"Error getting audit logs: {e}")
                return None
    
        def get_alarms(self, last_timestamp=None):
            """Get alarms from vManage"""
            try:
                url = f"{self.host}/dataservice/alarms"
                headers = self.get_headers()
    
                query = {
                    "query": {
                        "condition": "AND",
                        "rules": []
                    },
                    "size": 10000
                }
    
                if last_timestamp:
                    if isinstance(last_timestamp, str):
                        try:
                            dt = datetime.fromisoformat(last_timestamp.replace('Z', '+00:00'))
                            epoch_ms = int(dt.timestamp() * 1000)
                        except:
                            epoch_ms = int(last_timestamp)
                    else:
                        epoch_ms = int(last_timestamp)
    
                    query["query"]["rules"].append({
                        "value": [str(epoch_ms)],
                        "field": "entry_time",
                        "type": "date",
                        "operator": "greater"
                    })
                else:
                    query["query"]["rules"].append({
                        "value": ["1"],
                        "field": "entry_time",
                        "type": "date",
                        "operator": "last_n_hours"
                    })
    
                response = http.request(
                    'POST',
                    url,
                    body=json.dumps(query),
                    headers=headers,
                )
    
                if response.status == 200:
                    return json.loads(response.data.decode('utf-8'))
                else:
                    print(f"Failed to get alarms: HTTP {response.status}")
                    return None
    
            except Exception as e:
                print(f"Error getting alarms: {e}")
                return None
    
        def get_events(self, last_timestamp=None):
            """Get events from vManage"""
            try:
                url = f"{self.host}/dataservice/events"
                headers = self.get_headers()
    
                query = {
                    "query": {
                        "condition": "AND",
                        "rules": []
                    },
                    "size": 10000
                }
    
                if last_timestamp:
                    if isinstance(last_timestamp, str):
                        try:
                            dt = datetime.fromisoformat(last_timestamp.replace('Z', '+00:00'))
                            epoch_ms = int(dt.timestamp() * 1000)
                        except:
                            epoch_ms = int(last_timestamp)
                    else:
                        epoch_ms = int(last_timestamp)
    
                    query["query"]["rules"].append({
                        "value": [str(epoch_ms)],
                        "field": "entry_time",
                        "type": "date",
                        "operator": "greater"
                    })
                else:
                    query["query"]["rules"].append({
                        "value": ["1"],
                        "field": "entry_time",
                        "type": "date",
                        "operator": "last_n_hours"
                    })
    
                response = http.request(
                    'POST',
                    url,
                    body=json.dumps(query),
                    headers=headers,
                )
    
                if response.status == 200:
                    return json.loads(response.data.decode('utf-8'))
                else:
                    print(f"Failed to get events: HTTP {response.status}")
                    return None
    
            except Exception as e:
                print(f"Error getting events: {e}")
                return None
    
    def get_last_run_time(bucket):
        """Get the last successful run timestamp from GCS"""
        try:
            blob = bucket.blob(STATE_KEY)
            if blob.exists():
                state_data = json.loads(blob.download_as_text())
                return state_data.get('last_run_time')
        except Exception as e:
            print(f"Error reading state: {e}")
    
        print("No previous state found, collecting last hour of logs")
        return None
    
    def update_last_run_time(bucket, timestamp):
        """Update the last successful run timestamp in GCS"""
        try:
            state_data = {
                'last_run_time': timestamp,
                'updated_at': datetime.now(timezone.utc).isoformat()
            }
            blob = bucket.blob(STATE_KEY)
            blob.upload_from_string(
                json.dumps(state_data),
                content_type='application/json'
            )
            print(f"Updated state with timestamp: {timestamp}")
        except Exception as e:
            print(f"Error updating state: {e}")
    
    def upload_logs_to_gcs(bucket, logs_data, log_type, timestamp):
        """Upload logs to GCS bucket"""
        try:
            if not logs_data or 'data' not in logs_data or not logs_data['data']:
                print(f"No {log_type} data to upload")
                return
    
            dt = datetime.now(timezone.utc)
            filename = f"{GCS_PREFIX}{log_type}/{dt.strftime('%Y/%m/%d')}/{log_type}_{dt.strftime('%Y%m%d_%H%M%S')}.json"
    
            blob = bucket.blob(filename)
            blob.upload_from_string(
                json.dumps(logs_data),
                content_type='application/json'
            )
            print(f"Uploaded {len(logs_data['data'])} {log_type} records to gs://{GCS_BUCKET}/{filename}")
    
        except Exception as e:
            print(f"Error uploading {log_type} to GCS: {e}")
    
    @functions_framework.cloud_event
    def main(cloud_event):
        """
        Cloud Run function triggered by Pub/Sub to fetch logs from Cisco vManage API and write to GCS.
    
        Args:
            cloud_event: CloudEvent object containing Pub/Sub message
        """
        print(f"Starting Cisco vManage log collection at {datetime.now(timezone.utc)}")
    
        try:
            bucket = storage_client.bucket(GCS_BUCKET)
    
            # Get last run time
            last_run_time = get_last_run_time(bucket)
    
            # Initialize vManage API client
            vmanage = VManageAPI(VMANAGE_HOST, VMANAGE_USERNAME, VMANAGE_PASSWORD)
    
            # Authenticate
            if not vmanage.authenticate():
                print('Failed to authenticate with vManage')
                return
    
            # Current timestamp for state tracking (store as epoch milliseconds)
            current_time = int(datetime.now(timezone.utc).timestamp() * 1000)
    
            # Collect different types of logs
            log_types = [
                ('audit_logs', vmanage.get_audit_logs),
                ('alarms', vmanage.get_alarms),
                ('events', vmanage.get_events)
            ]
    
            total_records = 0
            for log_type, get_function in log_types:
                try:
                    print(f"Collecting {log_type}...")
                    logs_data = get_function(last_run_time)
                    if logs_data:
                        upload_logs_to_gcs(bucket, logs_data, log_type, current_time)
                        if 'data' in logs_data:
                            total_records += len(logs_data['data'])
                except Exception as e:
                    print(f"Error processing {log_type}: {e}")
                    continue
    
            # Update state with current timestamp
            update_last_run_time(bucket, current_time)
    
            print(f"Collection completed. Total records processed: {total_records}")
    
        except Exception as e:
            print(f"Function execution error: {e}")
            raise
    
    • 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 cisco-sdwan-log-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 topic (cisco-sdwan-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 scheduler job

  1. In the Cloud Scheduler console, find your job.
  2. Click Force run to trigger manually.
  3. Wait a few seconds and go to Cloud Run > Services > cisco-sdwan-log-collector > Logs.
  4. Verify the function executed successfully.
  5. Check the GCS bucket to confirm logs were written.

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, Cisco SD-WAN logs).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select Cisco vManage SD-WAN as the Log type.
  7. Click Get Service Account. A unique service account email is 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 Cisco vManage SD-WAN 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, Cisco SD-WAN logs).
  5. Select Google Cloud Storage V2 as the Source type.
  6. Select Cisco vManage SD-WAN 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://cisco-sdwan-logs-bucket/cisco-sdwan/
      
      • Replace:

        • cisco-sdwan-logs-bucket: Your GCS bucket name.
        • cisco-sdwan/: Optional prefix/folder path where logs are stored (leave empty for root).
      • Examples:

        • Root bucket: gs://company-logs/
        • With prefix: gs://company-logs/cisco-sdwan/
        • With subfolder: gs://company-logs/cisco-sdwan/audit_logs/
    • 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.

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