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Description

In Splunk Enterprise versions below 8.1.13, 8.2.10, and 9.0.4, when the INGEST\_EVAL parameter is improperly formatted, it crashes splunkd. This hunting search provides the user, timing and number of times the crashing command was executed.

  • Type: TTP
  • Product: Splunk Enterprise
  • Datamodel: Endpoint
  • Last Updated: 2023-02-14
  • Author: Chase Franklin, Rod Soto, Splunk
  • ID: 08978eca-caff-44c1-84dc-53f17def4e14

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1499 Endpoint Denial of Service Impact
Kill Chain Phase
  • Exploitation
NIST
  • DE.CM
CIS20
  • CIS 3
  • CIS 5
  • CIS 16
CVE
ID Summary CVSS
CVE-2023-22941 In Splunk Enterprise versions below 8.1.13, 8.2.10, and 9.0.4, an improperly-formatted ‘INGEST_EVAL’ parameter in a Field Transformation crashes the Splunk daemon (splunkd). None 


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| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Splunk_Audit.Search_Activity where (Search_Activity.search="*makeresults*"AND Search_Activity.search="*ingestpreview*transforms*") Search_Activity.search_type=adhoc Search_Activity.search!="*splunk_improperly_formatted_parameter_crashes_splunkd_filter*" Search_Activity.user!=splunk-system-user by Search_Activity.search, Search_Activity.info, Search_Activity.total_run_time, Search_Activity.user, Search_Activity.search_type 
| `drop_dm_object_name(Search_Activity)` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `splunk_improperly_formatted_parameter_crashes_splunkd_filter`

Macros

The SPL above uses the following Macros:

:information_source: splunk_improperly_formatted_parameter_crashes_splunkd_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.

  • user
  • count
  • info

How To Implement

Requires access to audittrail and use of Splunk_Audit.Search_Activity datamodel.

Known False Positives

This is a hunting search it should be focused on affected products, otherwise it is likely to produce false positives.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
100.0 100 100 An attempt to exploit ingest eval parameter was detected from $user$

: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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