gcp_bigquery_results_downloaded_from_multiple_tables
Description
Detect a user downloads GCP BigQuery results from multiple tables which might indicate data exfiltration activity.
Query · yara_l
events:
$gcp.metadata.event_type = "USER_RESOURCE_ACCESS"
$gcp.metadata.log_type = "GCP_CLOUDAUDIT"
$gcp.metadata.product_event_type = "jobservice.getqueryresults"
$gcp.metadata.product_name = "BigQuery"
$gcp.security_result.action = "ALLOW"
$gcp.principal.user.userid = $user_id
match:
$user_id over 1h
outcome:
$risk_score = max(75)
$mitre_attack_tactic = "Exfiltration"
$mitre_attack_technique = "Exfiltration Over Web Service"
$mitre_attack_technique_id = "T1567"
$event_count = count_distinct($gcp.metadata.id)
$network_http_user_agent = array_distinct($gcp.network.http.user_agent)
$principal_ip = array_distinct($gcp.principal.ip)
$principal_ip_country = array_distinct($gcp.principal.ip_geo_artifact.location.country_or_region)
$principal_ip_state = array_distinct($gcp.principal.ip_geo_artifact.location.state)
$principal_user_id = array_distinct($gcp.principal.user.userid)
$principal_user_display_name = array_distinct($gcp.principal.user.user_display_name)
$target_resource_name = array_distinct($gcp.target.resource.name)
$event_name = array_distinct($gcp.metadata.product_event_type)
$bq_table_name = array_distinct($gcp.target.resource.name)
$dc_bq_table_name = count_distinct($gcp.target.resource.name)
condition:
$gcp and $dc_bq_table_name > 3