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    Collect ThreatX WAF logs

    Supported in:

    This document explains how to ingest ThreatX WAF logs to Google Security Operations using Google Cloud Storage V2.

    ThreatX WAF is an API and web application firewall that provides behavioral threat detection and bot protection. It monitors and analyzes traffic patterns to identify and block malicious requests targeting web applications and APIs. The ThreatX REST API provides programmatic access to event and entity logs.

    Before you begin

    Make sure 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 ThreatX console with administrator permissions
    • A ThreatX API key and customer name

    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, threatx-waf-logs )
      Location type Choose based on your needs (Region, Dual-region, Multi-region)
      Location Select the location (for example, us-central1 )
      Storage class Standard (recommended for frequently accessed logs)
      Access control Uniform (recommended)
      Protection tools Optional: Enable object versioning or retention policy

    6. Click Create.

    Collect ThreatX WAF API credentials

    Obtain API key

    1. Sign in to the ThreatX console as an administrator.
    2. Go to Settings > API Keys.
    3. Click Generate API Key.
    4. Enter a name for the API key (for example, Google SecOps Integration ).

    5. Copy and save the following details in a secure location:

      • API Key: The generated API key value
      • Customer Name: Your ThreatX customer name (visible in the console URL or Settings page)

    Determine API base URL

    The ThreatX API base URL:

    Environment API Base URL
    Production https://provision.threatx.io/tx/api/v2

    Test API access

    • Test your credentials before proceeding with the integration:

        # Replace with your actual credentials 
 THREATX_API_KEY 
 = 
 "your-api-key" 
 THREATX_CUSTOMER 
 = 
 "your-customer-name" 
 # Test API access - list entities 
curl  
-s  
-X  
POST  
 "https://provision.threatx.io/tx/api/v2/entities/list" 
  
 \ 
  
-H  
 "Content-Type: application/json" 
  
 \ 
  
-d  
 "{\"api_key\": \" 
 ${ 
 THREATX_API_KEY 
 } 
 \", \"customer_name\": \" 
 ${ 
 THREATX_CUSTOMER 
 } 
 \", \"command\": {\"limit\": 1}}"

    The Cloud Run function needs a service account with permissions to write to GCS bucket and be invoked by Pub/Sub.

    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 threatx-waf-logs-collector-sa
      • Service account description: Enter Service account for Cloud Run function to collect ThreatX WAF logs
    4. Click Create and Continue.
    5. In the Grant this service account access to projectsection, 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, threatx-waf-logs ).
    3. Go to the Permissionstab.
    4. Click Grant access.
    5. Provide the following configuration details:
      • Add principals: Enter the service account email (for example, threatx-waf-logs-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 threatx-waf-logs-trigger
      • Leave other settings as default
    4. Click Create.

    Create Cloud Run function to collect logs

    • The Cloud Run function will be triggered by Pub/Sub messages from Cloud Scheduler to fetch logs from the ThreatX REST API and write them to GCS.
    1. In the GCP Console, go to Cloud Run.
    2. Click Create service.
    3. Select Function(use an inline editor to create a function).

    4. In the Configuresection, provide the following configuration details:

      Setting Value
      Service name threatx-waf-logs-collector
      Region Select region matching your GCS bucket (for example, us-central1 )
      Runtime Select Python 3.12or 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 threatx-waf-logs-trigger .
      4. Click Save.

    6. In the Authenticationsection:

      1. Select Require authentication.
      2. Check Identity and Access Management (IAM).

    7. Scroll down and expand Containers, Networking, Security.

    8. Go to the Securitytab:

      • Service account: Select the service account threatx-waf-logs-collector-sa .

    9. Go to the Containerstab:

      1. Click Variables & Secrets.
      2. Click + Add variablefor each environment variable:
      Variable Name Example Value Description
      GCS_BUCKET
      		threatx-waf-logs GCS bucket name
      GCS_PREFIX
      		threatx Prefix for log files
      STATE_KEY
      		threatx/state.json State file path
      THREATX_API_KEY
      		your-api-key ThreatX API key
      THREATX_CUSTOMER
      		your-customer-name ThreatX customer name
      THREATX_API_BASE
      		https://provision.threatx.io/tx/api/v2 ThreatX API base URL
      MAX_RECORDS
      		5000 Max records per run
      PAGE_SIZE
      		1000 Records per page
      LOOKBACK_HOURS
      		24 Initial lookback period

    10. In the Variables & Secretssection, scroll down to Requests:

      • Request timeout: Enter 600 seconds (10 minutes)

    11. Go to the Settingstab:

      • In the Resourcessection:
        • Memory: Select 512 MiBor higher
        • CPU: Select 1

    12. In the Revision scalingsection:

      • 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 editorwill open automatically.

    Add function code

    1. Enter mainin the Entry pointfield.

    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 
 , 
 timedelta 
 import 
  
 time 
 # 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' 
 , 
 'threatx' 
 ) 
 STATE_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'STATE_KEY' 
 , 
 'threatx/state.json' 
 ) 
 THREATX_API_KEY 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'THREATX_API_KEY' 
 ) 
 THREATX_CUSTOMER 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'THREATX_CUSTOMER' 
 ) 
 THREATX_API_BASE 
 = 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'THREATX_API_BASE' 
 , 
 'https://provision.threatx.io/tx/api/v2' 
 ) 
 MAX_RECORDS 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'MAX_RECORDS' 
 , 
 '5000' 
 )) 
 PAGE_SIZE 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'PAGE_SIZE' 
 , 
 '1000' 
 )) 
 LOOKBACK_HOURS 
 = 
 int 
 ( 
 os 
 . 
 environ 
 . 
 get 
 ( 
 'LOOKBACK_HOURS' 
 , 
 '24' 
 )) 
 def 
  
 to_unix_millis 
 ( 
 dt 
 : 
 datetime 
 ) 
 - 
> int 
 : 
  
 """Convert datetime to Unix epoch milliseconds.""" 
 if 
 dt 
 . 
 tzinfo 
 is 
 None 
 : 
 dt 
 = 
 dt 
 . 
 replace 
 ( 
 tzinfo 
 = 
 timezone 
 . 
 utc 
 ) 
 dt 
 = 
 dt 
 . 
 astimezone 
 ( 
 timezone 
 . 
 utc 
 ) 
 return 
 int 
 ( 
 dt 
 . 
 timestamp 
 () 
 * 
 1000 
 ) 
 def 
  
 parse_datetime 
 ( 
 value 
 : 
 str 
 ) 
 - 
> datetime 
 : 
  
 """Parse ISO datetime string to datetime object.""" 
 if 
 value 
 . 
 endswith 
 ( 
 "Z" 
 ): 
 value 
 = 
 value 
 [: 
 - 
 1 
 ] 
 + 
 "+00:00" 
 return 
 datetime 
 . 
 fromisoformat 
 ( 
 value 
 ) 
 @functions_framework 
 . 
 cloud_event 
 def 
  
 main 
 ( 
 cloud_event 
 ): 
  
 """ 
 Cloud Run function triggered by Pub/Sub to fetch ThreatX WAF 
 event logs and write to GCS. 
 Args: 
 cloud_event: CloudEvent object containing Pub/Sub message 
 """ 
 if 
 not 
 all 
 ([ 
 GCS_BUCKET 
 , 
 THREATX_API_KEY 
 , 
 THREATX_CUSTOMER 
 ]): 
 print 
 ( 
 'Error: Missing required environment variables' 
 ) 
 return 
 try 
 : 
 bucket 
 = 
 storage_client 
 . 
  bucket 
 
 ( 
 GCS_BUCKET 
 ) 
 # Load state 
 state 
 = 
 load_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 ) 
 # Determine time window 
 now 
 = 
 datetime 
 . 
 now 
 ( 
 timezone 
 . 
 utc 
 ) 
 last_time 
 = 
 None 
 if 
 isinstance 
 ( 
 state 
 , 
 dict 
 ) 
 and 
  state 
 
 . 
 get 
 ( 
 "last_event_time" 
 ): 
 try 
 : 
 last_time 
 = 
 parse_datetime 
 ( 
 state 
 [ 
 "last_event_time" 
 ]) 
 # Overlap by 2 minutes to catch any delayed events 
 last_time 
 = 
 last_time 
 - 
 timedelta 
 ( 
 minutes 
 = 
 2 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Warning: Could not parse last_event_time: 
 { 
 e 
 } 
 " 
 ) 
 if 
 last_time 
 is 
 None 
 : 
 last_time 
 = 
 now 
 - 
 timedelta 
 ( 
 hours 
 = 
 LOOKBACK_HOURS 
 ) 
 print 
 ( 
 f 
 "Fetching logs from 
 { 
 last_time 
 . 
 isoformat 
 () 
 } 
 to 
 { 
 now 
 . 
 isoformat 
 () 
 } 
 " 
 ) 
 # Fetch logs 
 records 
 , 
 newest_event_time 
 = 
 fetch_logs 
 ( 
 start_time 
 = 
 last_time 
 , 
 end_time 
 = 
 now 
 , 
 page_size 
 = 
 PAGE_SIZE 
 , 
 max_records 
 = 
 MAX_RECORDS 
 , 
 ) 
 if 
 not 
 records 
 : 
 print 
 ( 
 "No new log records found." 
 ) 
 save_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 , 
 now 
 . 
 isoformat 
 ()) 
 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 
 ( 
 record 
 , 
 ensure_ascii 
 = 
 False 
 ) 
 for 
 record 
 in 
 records 
 ]) 
 + 
 ' 
 \n 
 ' 
 blob 
 . 
  upload_from_string 
 
 ( 
 ndjson 
 , 
 content_type 
 = 
 'application/x-ndjson' 
 ) 
 print 
 ( 
 f 
 "Wrote 
 { 
 len 
 ( 
 records 
 ) 
 } 
 records to gs:// 
 { 
 GCS_BUCKET 
 } 
 / 
 { 
 object_key 
 } 
 " 
 ) 
 # Update state with newest event time 
 if 
 newest_event_time 
 : 
 save_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 , 
 newest_event_time 
 ) 
 else 
 : 
 save_state 
 ( 
 bucket 
 , 
 STATE_KEY 
 , 
 now 
 . 
 isoformat 
 ()) 
 print 
 ( 
 f 
 "Successfully processed 
 { 
 len 
 ( 
 records 
 ) 
 } 
 records" 
 ) 
 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 
 , 
 last_event_time_iso 
 : 
 str 
 ): 
  
 """Save the last event timestamp to GCS state file.""" 
 try 
 : 
 state 
 = 
 { 
 'last_event_time' 
 : 
 last_event_time_iso 
 } 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 key 
 ) 
 blob 
 . 
  upload_from_string 
 
 ( 
 json 
 . 
 dumps 
 ( 
 state 
 , 
 indent 
 = 
 2 
 ), 
 content_type 
 = 
 'application/json' 
 ) 
 print 
 ( 
 f 
 "Saved state: last_event_time= 
 { 
 last_event_time_iso 
 } 
 " 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Warning: Could not save state: 
 { 
 e 
 } 
 " 
 ) 
 def 
  
 fetch_logs 
 ( 
 start_time 
 : 
 datetime 
 , 
 end_time 
 : 
 datetime 
 , 
 page_size 
 : 
 int 
 , 
 max_records 
 : 
 int 
 ): 
  
 """ 
 Fetch event logs from ThreatX REST API 
 with pagination and rate limiting. 
 Args: 
 start_time: Start time for log query 
 end_time: End time for log query 
 page_size: Number of records per page 
 max_records: Maximum total records to fetch 
 Returns: 
 Tuple of (records list, newest_event_time ISO string) 
 """ 
 api_base 
 = 
 THREATX_API_BASE 
 . 
 rstrip 
 ( 
 '/' 
 ) 
 endpoint 
 = 
 f 
 " 
 { 
 api_base 
 } 
 /logs/list" 
 headers 
 = 
 { 
 'Accept' 
 : 
 'application/json' 
 , 
 'Content-Type' 
 : 
 'application/json' 
 , 
 'User-Agent' 
 : 
 'GoogleSecOps-ThreatXCollector/1.0' 
 } 
 records 
 = 
 [] 
 newest_time 
 = 
 None 
 page_num 
 = 
 0 
 offset 
 = 
 0 
 backoff 
 = 
 1.0 
 start_epoch 
 = 
 int 
 ( 
 start_time 
 . 
 timestamp 
 ()) 
 end_epoch 
 = 
 int 
 ( 
 end_time 
 . 
 timestamp 
 ()) 
 while 
 True 
 : 
 page_num 
 += 
 1 
 if 
 len 
 ( 
 records 
 ) 
> = 
 max_records 
 : 
 print 
 ( 
 f 
 "Reached max_records limit ( 
 { 
 max_records 
 } 
 )" 
 ) 
 break 
 body 
 = 
 json 
 . 
 dumps 
 ({ 
 'api_key' 
 : 
 THREATX_API_KEY 
 , 
 'customer_name' 
 : 
 THREATX_CUSTOMER 
 , 
 'command' 
 : 
 { 
 'from' 
 : 
 start_epoch 
 , 
 'to' 
 : 
 end_epoch 
 , 
 'limit' 
 : 
 min 
 ( 
 page_size 
 , 
 max_records 
 - 
 len 
 ( 
 records 
 )), 
 'offset' 
 : 
 offset 
 } 
 }) 
 try 
 : 
 response 
 = 
 http 
 . 
 request 
 ( 
 'POST' 
 , 
 endpoint 
 , 
 body 
 = 
 body 
 , 
 headers 
 = 
 headers 
 ) 
 # Handle rate limiting with exponential backoff 
 if 
 response 
 . 
 status 
 == 
 429 
 : 
 retry_after 
 = 
 int 
 ( 
 response 
 . 
 headers 
 . 
 get 
 ( 
 'Retry-After' 
 , 
 str 
 ( 
 int 
 ( 
 backoff 
 )))) 
 print 
 ( 
 f 
 "Rate limited (429). Retrying after 
 { 
 retry_after 
 } 
 s..." 
 ) 
 time 
 . 
 sleep 
 ( 
 retry_after 
 ) 
 backoff 
 = 
 min 
 ( 
 backoff 
 * 
 2 
 , 
 30.0 
 ) 
 continue 
 backoff 
 = 
 1.0 
 if 
 response 
 . 
 status 
 != 
 200 
 : 
 print 
 ( 
 f 
 "HTTP Error: 
 { 
 response 
 . 
 status 
 } 
 " 
 ) 
 response_text 
 = 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 ) 
 print 
 ( 
 f 
 "Response body: 
 { 
 response_text 
 } 
 " 
 ) 
 return 
 [], 
 None 
 data 
 = 
 json 
 . 
 loads 
 ( 
 response 
 . 
 data 
 . 
 decode 
 ( 
 'utf-8' 
 )) 
 page_results 
 = 
 data 
 . 
 get 
 ( 
 'Ok' 
 , 
 {}) 
 . 
 get 
 ( 
 'logs' 
 , 
 data 
 . 
 get 
 ( 
 'Ok' 
 , 
 [])) 
 if 
 isinstance 
 ( 
 page_results 
 , 
 dict 
 ): 
 page_results 
 = 
 page_results 
 . 
 get 
 ( 
 'data' 
 , 
 []) 
 if 
 not 
 page_results 
 : 
 print 
 ( 
 f 
 "No more results (empty page)" 
 ) 
 break 
 print 
 ( 
 f 
 "Page 
 { 
 page_num 
 } 
 : Retrieved 
 { 
 len 
 ( 
 page_results 
 ) 
 } 
 events" 
 ) 
 records 
 . 
 extend 
 ( 
 page_results 
 ) 
 # Track newest event time 
 for 
 event 
 in 
 page_results 
 : 
 try 
 : 
 event_ts 
 = 
 event 
 . 
 get 
 ( 
 'timestamp' 
 ) 
 or 
 event 
 . 
 get 
 ( 
 'time' 
 ) 
 if 
 event_ts 
 : 
 if 
 isinstance 
 ( 
 event_ts 
 , 
 ( 
 int 
 , 
 float 
 )): 
 event_dt 
 = 
 datetime 
 . 
 fromtimestamp 
 ( 
 event_ts 
 , 
 tz 
 = 
 timezone 
 . 
 utc 
 ) 
 event_time 
 = 
 event_dt 
 . 
 isoformat 
 () 
 else 
 : 
 event_time 
 = 
 str 
 ( 
 event_ts 
 ) 
 if 
 newest_time 
 is 
 None 
 or 
 parse_datetime 
 ( 
 event_time 
 ) 
> parse_datetime 
 ( 
 newest_time 
 ): 
 newest_time 
 = 
 event_time 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Warning: Could not parse event time: 
 { 
 e 
 } 
 " 
 ) 
 # Check for more results 
 if 
 len 
 ( 
 page_results 
 ) 
< page_size 
 : 
 print 
 ( 
 "No more pages (last page not full)" 
 ) 
 break 
 offset 
 += 
 len 
 ( 
 page_results 
 ) 
 except 
 Exception 
 as 
 e 
 : 
 print 
 ( 
 f 
 "Error fetching logs: 
 { 
 e 
 } 
 " 
 ) 
 return 
 [], 
 None 
 print 
 ( 
 f 
 "Retrieved 
 { 
 len 
 ( 
 records 
 ) 
 } 
 total records from 
 { 
 page_num 
 } 
 pages" 
 ) 
 return 
 records 
 , 
 newest_time
      • Second file requirements.txt:
       functions-framework==3.*
google-cloud-storage==2.*
urllib3>=2.0.0

    3. Click Deployto 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 threatx-waf-logs-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 threatx-waf-logs-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 Schedulerconsole, find your job.
    2. Click Force runto trigger the job manually.
    3. Wait a few seconds.
    4. Go to Cloud Run > Services.
    5. Click on threatx-waf-logs-collector .
    6. Click the Logstab.

    7. Verify the function executed successfully. Look for:

       Fetching logs from YYYY-MM-DDTHH:MM:SS+00:00 to YYYY-MM-DDTHH:MM:SS+00:00
Page 1: Retrieved X events
Wrote X records to gs://threatx-waf-logs/threatx/logs_YYYYMMDD_HHMMSS.ndjson
Successfully processed X records

    8. Go to Cloud Storage > Buckets.

    9. Click on your bucket name ( threatx-waf-logs ).

    10. Navigate to the threatx/ 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 key and customer name in environment variables
    • HTTP 403: Verify API key has required permissions in ThreatX console
    • HTTP 429: Rate limiting - function will automatically retry with backoff
    • Missing environment variables: Check all required variables are set

    Configure a feed in Google SecOps to ingest ThreatX WAF logs

    1. Go to SIEM Settings > Feeds.
    2. Click Add New Feed.
    3. Click Configure a single feed.
    4. In the Feed namefield, enter a name for the feed (for example, ThreatX WAF Logs ).
    5. Select Google Cloud Storage V2as the Source type.
    6. Select ThreatX WAFas 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.

    9. Click Next.

    10. Specify values for the following input parameters:

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

         gs://threatx-waf-logs/threatx/
        • Replace:
          • threatx-waf-logs : Your GCS bucket name.
          • threatx : Optional prefix/folder path where logs are stored (leave empty for root).

      • 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

    11. Click Next.

    12. Review your new feed configuration in the Finalizescreen, and then click Submit.

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

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

    UDM mapping table

    Log Field UDM Mapping Logic
    action
    		 additional.fields.action_label Additional vendor-specific event data
    args
    		 additional.fields.args_label Additional vendor-specific event data
    content_length
    		 additional.fields.content_length_label Additional vendor-specific event data
    content_type
    		 additional.fields.content_type_label Additional vendor-specific event data
    cookie
    		 additional.fields.cookie_label Additional vendor-specific event data
    count
    		 additional.fields.count_label Additional vendor-specific event data
    entity.codename
    		 additional.fields.entity_codename_label Additional vendor-specific event data
    entity.hash
    		 additional.fields.entity_hash_label Additional vendor-specific event data
    facility
    		 additional.fields.facility_label Additional vendor-specific event data
    js_fingerprint
    		 additional.fields.js_fingerprint_label Additional vendor-specific event data
    msg_type
    		 additional.fields.msg_type_label Additional vendor-specific event data
    new_value
    		 additional.fields.new_value_label Additional vendor-specific event data
    old_value
    		 additional.fields.old_value_label Additional vendor-specific event data
    postblock_event
    		 additional.fields.postblock_event_label Additional vendor-specific event data
    random_id
    		 additional.fields.random_id_label Additional vendor-specific event data
    response_length
    		 additional.fields.response_length_label Additional vendor-specific event data
    ssl
    		 additional.fields.ssl_label Additional vendor-specific event data
    tenant_name
    		 additional.fields.tenant_name_label Additional vendor-specific event data
    tls_fingerprint
    		 additional.fields.tls_fingerprint_label Additional vendor-specific event data
    upstream_response_time
    		 additional.fields.upstream_response_time_label Additional vendor-specific event data
    version
    		 additional.fields.version_label Additional vendor-specific event data
    data.classification, rule.classification
    		 security_result.detection_fields.classification_label, security_result.detection_fields.rule_classification_label Security classification or action
    data.contrib_score, rule.contrib_score
    		 security_result.detection_fields.contrib_score_label, security_result.detection_fields.rule_contrib_score_label Security classification or action
    data.description, rule.description
    		 security_result.detection_fields.description_label, security_result.detection_fields.rule_description_label Security classification or action
    data.id, rule.id
    		 security_result.detection_fields.id_label, security_result.detection_fields.rule_id_label Security classification or action
    data.risk, rule.beta
    		 security_result.detection_fields.risk_label, security_result.detection_fields.rule_beta_label Security classification or action
    data.state, rule.state
    		 security_result.detection_fields.state_label, security_result.detection_fields.rule_state_label Security classification or action
    data.contrib_score
    		 security_result.detection_fields.contrib score %{index}_label Security classification or action
    data.description
    		 security_result.detection fields.description %{index}_label Security classification or action
    data.classification
    		 security_result.detection fields.classification %{index}_label Security classification or action
    data.id
    		 security_result.detection fields.id %{index}_label Security classification or action
    data.risk
    		 security_result.detection fields.risk %{index}_label Security classification or action
    data.state
    		 security_result.detection fields.state %{index}_label Security classification or action
    rule.blocking
    		 security_result.detection_fields.rule_blocking_label Security classification or action
    		metadata.description Description of the event
    		metadata.event_type Type of event (e.g., USER_LOGIN, NETWORK_CONNECTION)
    msg_id
    		 metadata.product_log_id Unique identifier for the log entry
    		metadata.product_name Product name
    		metadata.vendor_name Vendor/company name
    network.http.method
    		 network.http.method HTTP method used in the request
    status_code
    		 network.http.response_code HTTP response code
    user_agent
    		 network.http.parsed_user_agent, network.http.user_agent Parsed user agent string
    entity.ip_address, ip
    		 principal.asset.ip, principal.ip Source IP address of the connection
    hostname
    		 principal.asset.hostname, principal.hostname Source hostname
    user_email
    		 principal.email Email address of the user
    msg1
    		 principal.url URL associated with the principal
    user_id
    		 principal.user.userid Unique identifier for the user
    request_id
    		 target.resource.attribute.labels.request_id_label Resource attributes
    subscription_id
    		 target.resource.attribute.labels.subscription_ID_label Resource attributes
    uri
    		 target.resource.attribute.labels.uri_label Resource attributes
    dst_domain, dst_host, username
    		 target.asset.hostname, target.hostname Destination hostname
    action
    		 security_result.action Action taken by the security product
    category
    		 security_result.category_details Security category details
    priority
    		 security_result.priority Priority level of the security event
    risk
    		 security_result.risk_score Risk score assigned to the event
    severity
    		 security_result.severity Severity level of the security event

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