:warning: THIS IS A EXPERIMENTAL DETECTION

This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.

Try in Splunk Security Cloud

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

ATT&CK

ID Technique Tactic
T1078 Valid Accounts Defense Evasion, Persistence, Privilege Escalation, Initial Access
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:

:information_source: 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 fields

List of fields required to use this analytic.

  • _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

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

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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