WARNING THIS IS A EXPERIMENTAL object

We have not been able to test, simulate, or build datasets for this object. Use at your own risk. This analytic is NOT supported.

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Description

This search provides detection of GCPloit exploitation framework. This framework can be used to escalate privileges and move laterally from compromised high privilege accounts.

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

  • Last Updated: 2020-10-08
  • Author: Rod Soto, Splunk
  • ID: a1c5a85e-a162-410c-a5d9-99ff639e5a52

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.request.function.timeout=539s 
| table src src_user data.resource.labels.project_id data.protoPayload.request.function.serviceAccountEmail data.protoPayload.authorizationInfo{}.permission data.protoPayload.request.location http_user_agent 
| `gcp_detect_gcploit_framework_filter`

Macros

The SPL above uses the following Macros:

Note that gcp_detect_gcploit_framework_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.request.function.timeout
  • src
  • src_user
  • data.resource.labels.project_id
  • data.protoPayload.request.function.serviceAccountEmail
  • data.protoPayload.authorizationInfo{}.permission
  • data.protoPayload.request.location
  • http_user_agent

How To Implement

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

Known False Positives

Payload.request.function.timeout value can possibly be match with other functions or requests however the source user and target request account may indicate an attempt to move laterally accross acounts or projects

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

source | version: 1