:no_entry: THIS IS A DEPRECATED DETECTION

This detection has been marked deprecated by the Splunk Threat Research team. This means that it will no longer be maintained or supported.

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Description

This search allows you to look for evidence of exploitation for CVE-2018-11409, a Splunk Enterprise Information Disclosure Bug.

  • Type: TTP

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

  • Last Updated: 2018-06-14
  • Author: David Dorsey, Splunk
  • ID: f6a26b7b-7e80-4963-a9a8-d836e7534ebd

Annotations

ATT&CK
Kill Chain Phase
NIST
  • DE.CM
CIS20
  • CIS 13
CVE
ID Summary CVSS
CVE-2018-11409 Splunk through 7.0.1 allows information disclosure by appending __raw/services/server/info/server-info?output_mode=json to a query, as demonstrated by discovering a license key. 5.0 


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index=_internal sourcetype=splunkd_ui_access server-info 
| search clientip!=127.0.0.1 uri_path="*raw/services/server/info/server-info" 
| rename clientip as src_ip, splunk_server as dest 
| stats earliest(_time) as firstTime, latest(_time) as lastTime, values(uri) as uri, values(useragent) as http_user_agent, values(user) as user by src_ip, dest 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `splunk_enterprise_information_disclosure_filter`

Macros

The SPL above uses the following Macros:

:information_source: splunk_enterprise_information_disclosure_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

How To Implement

The REST endpoint that exposes system information is also necessary for the proper operation of Splunk clustering and instrumentation. Whitelisting your Splunk systems will reduce false positives.

Known False Positives

Retrieving server information may be a legitimate API request. Verify that the attempt is a valid request for information.

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

source | version: 1