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This detection provides information about possible exploitation against affected versions of Splunk Enterprise 9.1.2. The ability to view JSON logs in the web GUI may be abused by crafting a specific request, causing the execution of javascript in script tags. This vulnerability can be used to execute javascript to access the API at the permission level of the logged-in user. If user is admin it can be used to create an admin user, giving an attacker broad access to the Splunk Environment.

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

  • Last Updated: 2023-11-16
  • Author: Rod Soto, Splunk
  • ID: 1030bc63-0b37-4ac9-9ae0-9361c955a3cc




ID Technique Tactic
T1189 Drive-by Compromise Initial Access
Kill Chain Phase
  • Delivery
  • DE.AE
  • CIS 10
ID Summary CVSS
`splunkd_ui` "/en-US/splunkd/__raw/servicesNS/nobody/search/authentication/users" status=201 
| stats count min(_time) as firstTime max(_time) as lastTime by clientip, uri_path, method 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `splunk_xss_in_highlighted_json_events_filter`


The SPL above uses the following Macros:

:information_source: splunk_xss_in_highlighted_json_events_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.

  • clientip
  • uri_path
  • method
  • status

How To Implement

This search only applies to web-GUI-enabled Splunk instances and operator must have access to internal indexes.

Known False Positives

This is a hunting search and will produce false positives as it is not possible to view contents of a request payload. It shows the artifact resulting from a potential exploitation payload (the creation of a user with admin privileges).

Associated Analytic Story


Risk Score Impact Confidence Message
15.0 30 50 Possible XSS exploitation from $clientip$

: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.


Test Dataset

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

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