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Description

This search provides detection of high risk permissions by resource and accounts. These are permissions that can allow attackers with compromised accounts to move laterally and escalate privileges.

  • Type: Hunting
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2020-10-09
  • Author: Rod Soto, Splunk
  • ID: 2e70ef35-2187-431f-aedc-4503dc9b06ba

Annotations

ATT&CK
ID Technique Tactic
T1078 Valid Accounts Defense Evasion, Initial Access, Persistence, Privilege Escalation
Kill Chain Phase
  • Exploitation
NIST
CIS20
CVE
1
2
3
`google_gcp_pubsub_message` data.protoPayload.authorizationInfo{}.permission=iam.serviceAccounts.getaccesstoken OR iam.serviceAccounts.setIamPolicy OR iam.serviceAccounts.actas OR dataflow.jobs.create OR composer.environments.create OR dataproc.clusters.create 
|table data.protoPayload.requestMetadata.callerIp data.protoPayload.authenticationInfo.principalEmail data.protoPayload.authorizationInfo{}.permission data.protoPayload.response.bindings{}.members{} data.resource.labels.project_id 
| `gcp_detect_high_risk_permissions_by_resource_and_account_filter`

Macros

The SPL above uses the following Macros:

Note that gcp_detect_high_risk_permissions_by_resource_and_account_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required field

  • _time
  • data.protoPayload.authorizationInfo{}.permission
  • data.protoPayload.requestMetadata.callerIp
  • data.protoPayload.authenticationInfo.principalEmail
  • data.protoPayload.authorizationInfo{}.permission
  • data.protoPayload.response.bindings{}.members{}
  • data.resource.labels.project_id

How To Implement

You must install splunk GCP add-on. This search works with gcp:pubsub:message logs

Known False Positives

High risk permissions are part of any GCP environment, however it is important to track resource and accounts usage, this search may produce false positives.

Associated Analytic story

RBA

Risk Score Impact Confidence Message
25.0 50 50 tbd

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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