Collect Digital Shadows SearchLight logs
Supported in:
This document explains how to ingest Digital Shadows SearchLight logs to
Google Security Operations using Amazon S3. The parser extracts security event data
from the JSON logs. It initializes Unified Data Model (UDM) fields, parses the
JSON payload, maps relevant fields to the UDM schema, extracts entities like
email and hostname using grok patterns, and constructs the security_result
and metadata
objects within the UDM event.
Before you begin
Make sure you have the following prerequisites:
- A Google SecOps instance.
- Privileged access to Digital Shadows SearchLighttenant.
- Privileged access to AWS(S3, Identity and Access Management (IAM), Lambda, EventBridge).
Collect Digital Shadows SearchLight prerequisites (IDs, API keys, org IDs, tokens)
- Sign in to the Digital Shadows SearchLight Portal.
- Go to Settings > API Credentials.
- Create a new API client or key pair.
- Copy and save in a secure location the following details:
- API Key
- API Secret
- Account ID
- API Base URL:
https://api.searchlight.app/v1orhttps://portal-digitalshadows.com/api/v1
Configure AWS S3 bucket and IAM for Google SecOps
- Create Amazon S3 bucketfollowing this user guide: Creating a bucket
- Save bucket Nameand Regionfor future reference (for example,
digital-shadows-logs). - Create a Userfollowing this user guide: Creating an IAM user .
- Select the created User.
- Select Security credentialstab.
- Click Create Access Keyin section Access Keys.
- Select Third-party serviceas Use case.
- Click Next.
- Optional: Add a description tag.
- Click Create access key.
- Click Download .CSV fileto save the Access Keyand Secret Access Keyfor future reference.
- Click Done.
- Select Permissionstab.
- Click Add permissionsin section Permissions policies.
- Select Add permissions.
- Select Attach policies directly.
- Search for AmazonS3FullAccesspolicy.
- Select the policy.
- Click Next.
- Click Add permissions.
Configure the IAM policy and role for S3 uploads
- In the AWS console, go to IAM > Policies.
- Click Create policy > JSON tab.
- Copy and paste the following policy.
-
Policy JSON(replace
digital-shadows-logsif you entered a different bucket name):{ "Version" : "2012-10-17" , "Statement" : [ { "Sid" : "AllowPutObjects" , "Effect" : "Allow" , "Action" : "s3:PutObject" , "Resource" : "arn:aws:s3:::digital-shadows-logs/*" }, { "Sid" : "AllowGetStateObject" , "Effect" : "Allow" , "Action" : "s3:GetObject" , "Resource" : "arn:aws:s3:::digital-shadows-logs/digital-shadows-searchlight/state.json" } ] } -
Click Next > Create policy.
-
Go to IAM > Roles > Create role > AWS service > Lambda.
-
Attach the newly created policy.
-
Name the role
digital-shadows-lambda-roleand click Create role.
Create the Lambda function
- In the AWS Console, go to Lambda > Functions > Create function.
- Click Author from scratch.
-
Provide the following configuration details:
Setting Value Name digital-shadows-collectorRuntime Python 3.13 Architecture x86_64 Execution role digital-shadows-lambda-role -
After the function is created, open the Codetab, delete the stub and paste the following code (
digital-shadows-collector.py).import json import os import base64 import logging import time from datetime import datetime , timedelta , timezone from urllib.parse import urlencode import boto3 import urllib3 logger = logging . getLogger () logger . setLevel ( logging . INFO ) HTTP = urllib3 . PoolManager ( retries = False ) def _basic_auth_header ( key : str , secret : str ) - > str : token = base64 . b64encode ( f " { key } : { secret } " . encode ( "utf-8" )) . decode ( "utf-8" ) return f "Basic { token } " def _load_state ( s3 , bucket , key , default_days = 30 ) - > str : """Return ISO8601 checkpoint (UTC).""" try : obj = s3 . get_object ( Bucket = bucket , Key = key ) state = json . loads ( obj [ "Body" ] . read () . decode ( "utf-8" )) ts = state . get ( "last_timestamp" ) if ts : return ts except s3 . exceptions . NoSuchKey : pass except Exception as e : logger . warning ( f "State read error: { e } " ) return ( datetime . now ( timezone . utc ) - timedelta ( days = default_days )) . isoformat () def _save_state ( s3 , bucket , key , ts : str ) - > None : s3 . put_object ( Bucket = bucket , Key = key , Body = json . dumps ({ "last_timestamp" : ts }) . encode ( "utf-8" ), ContentType = "application/json" , ) def _get_json ( url : str , headers : dict , params : dict , backoff_s = 2 , max_retries = 3 ) - > dict : qs = f "? { urlencode ( params ) } " if params else "" for attempt in range ( max_retries ): r = HTTP . request ( "GET" , f " { url }{ qs } " , headers = headers ) if r . status == 200 : return json . loads ( r . data . decode ( "utf-8" )) if r . status in ( 429 , 500 , 502 , 503 , 504 ): wait = backoff_s * ( 2 ** attempt ) logger . warning ( f "HTTP { r . status } from DS API, retrying in { wait } s" ) time . sleep ( wait ) continue raise RuntimeError ( f "DS API error { r . status } : { r . data [: 200 ] } " ) raise RuntimeError ( "Exceeded retry budget for DS API" ) def _collect ( api_base , headers , path , since_ts , account_id , page_size , max_pages , time_param ): items = [] for page in range ( max_pages ): params = { "limit" : page_size , "offset" : page * page_size , time_param : since_ts , } if account_id : params [ "account-id" ] = account_id data = _get_json ( f " { api_base } / { path } " , headers , params ) batch = data . get ( "items" ) or data . get ( "data" ) or [] if not batch : break items . extend ( batch ) if len ( batch ) < page_size : break return items def lambda_handler ( event , context ): # Required s3_bucket = os . environ [ "S3_BUCKET" ] api_key = os . environ [ "DS_API_KEY" ] api_secret = os . environ [ "DS_API_SECRET" ] # Optional / defaults s3_prefix = os . environ . get ( "S3_PREFIX" , "digital-shadows-searchlight/" ) state_key = os . environ . get ( "STATE_KEY" , "digital-shadows-searchlight/state.json" ) api_base = os . environ . get ( "API_BASE" , "https://api.searchlight.app/v1" ) account_id = os . environ . get ( "DS_ACCOUNT_ID" , "" ) page_size = int ( os . environ . get ( "PAGE_SIZE" , "100" )) max_pages = int ( os . environ . get ( "MAX_PAGES" , "10" )) s3 = boto3 . client ( "s3" ) last_ts = _load_state ( s3 , s3_bucket , state_key ) logger . info ( f "Checkpoint: { last_ts } " ) headers = { "Authorization" : _basic_auth_header ( api_key , api_secret ), "Accept" : "application/json" , "User-Agent" : "Chronicle-DigitalShadows-S3/1.0" , } records = [] # Incidents (time filter often 'published-after' or 'updated-since' depending on tenancy) incidents = _collect ( api_base , headers , "incidents" , last_ts , account_id , page_size , max_pages , time_param = "published-after" ) for incident in incidents : incident [ '_source_type' ] = 'incident' records . extend ( incidents ) # Intelligence incidents (alerts) intel_incidents = _collect ( api_base , headers , "intel-incidents" , last_ts , account_id , page_size , max_pages , time_param = "published-after" ) for intel in intel_incidents : intel [ '_source_type' ] = 'intelligence_incident' records . extend ( intel_incidents ) # Indicators (IOCs) indicators = _collect ( api_base , headers , "indicators" , last_ts , account_id , page_size , max_pages , time_param = "lastUpdated-after" ) for indicator in indicators : indicator [ '_source_type' ] = 'ioc' records . extend ( indicators ) if records : # Choose newest timestamp seen in this batch newest = max ( ( r . get ( "updated" ) or r . get ( "raised" ) or r . get ( "lastUpdated" ) or last_ts ) for r in records ) key = f " { s3_prefix } digital_shadows_ { datetime . now ( timezone . utc ) . strftime ( '%Y%m %d _%H%M%S' ) } .json" body = " \n " . join ( json . dumps ( r , separators = ( "," , ":" )) for r in records ) . encode ( "utf-8" ) s3 . put_object ( Bucket = s3_bucket , Key = key , Body = body , ContentType = "application/x-ndjson" , ) _save_state ( s3 , s3_bucket , state_key , newest ) msg = f "Wrote { len ( records ) } records to s3:// { s3_bucket } / { key } " else : msg = "No new records" logger . info ( msg ) return { "statusCode" : 200 , "body" : msg } -
Go to Configuration > Environment variables.
-
Click Edit > Add new environment variable.
-
Enter the environment variables provided in the following table, replacing the example values with your values.
Environment variables
Key Example value S3_BUCKETdigital-shadows-logsS3_PREFIXdigital-shadows-searchlight/STATE_KEYdigital-shadows-searchlight/state.jsonDS_API_KEY<your-6-character-api-key>DS_API_SECRET<your-32-character-api-secret>API_BASEhttps://api.searchlight.app/v1(orhttps://portal-digitalshadows.com/api/v1)DS_ACCOUNT_ID<your-account-id>(required for most tenants)PAGE_SIZE100MAX_PAGES10 -
After the function is created, stay on its page (or open Lambda > Functions > your-function).
-
Select the Configurationtab.
-
In the General configurationpanel, click Edit.
-
Change Timeoutto 5 minutes (300 seconds)and click Save.
Create an EventBridge schedule
- Go to Amazon EventBridge > Scheduler > Create schedule.
- Provide the following configuration details:
- Recurring schedule: Rate(
1 hour). - Target: your Lambda function
digital-shadows-collector. - Name:
digital-shadows-collector-1h.
- Recurring schedule: Rate(
- Click Create schedule.
(Optional) Create read-only IAM user & keys for Google SecOps
- Go to AWS Console > IAM > Users.
- Click Add users.
- Provide the following configuration details:
- User: Enter
secops-reader. - Access type: Select Access key – Programmatic access.
- User: Enter
- Click Create user.
- Attach minimal read policy (custom): Users > secops-reader > Permissions > Add permissions > Attach policies directly > Create policy.
-
JSON:
{ "Version" : "2012-10-17" , "Statement" : [ { "Effect" : "Allow" , "Action" : [ "s3:GetObject" ], "Resource" : "arn:aws:s3:::digital-shadows-logs/*" }, { "Effect" : "Allow" , "Action" : [ "s3:ListBucket" ], "Resource" : "arn:aws:s3:::digital-shadows-logs" } ] } -
Name =
secops-reader-policy. -
Click Create policy > search/select > Next > Add permissions.
-
Create an access key for
secops-reader: Security credentials > Access keys. -
Click Create access key.
-
Download the
.CSV. (You'll paste these values into the feed).
Configure a feed in Google SecOps to ingest Digital Shadows SearchLight logs
- Go to SIEM Settings > Feeds.
- Click + Add New Feed.
- In the Feed namefield, enter a name for the feed (for example,
Digital Shadows SearchLight logs). - Select Amazon S3 V2as the Source type.
- Select Digital Shadows SearchLightas the Log type.
- Click Next.
- Specify values for the following input parameters:
- S3 URI:
s3://digital-shadows-logs/digital-shadows-searchlight/ - 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.
- S3 URI:
- Click Next.
- Review your new feed configuration in the Finalizescreen, and then click Submit.
Need more help? Get answers from Community members and Google SecOps professionals.
