Splunk Enterprise KV Store Incorrect Authorization
Description
In Splunk Enterprise versions below 9.0.8 and 9.1.3, Splunk app key value store KV Store improperly handles permissions for users using the REST application programming interface (API). This can potentially result in the deletion of KV Store collections.
- Type: Hunting
-
Product: Splunk Enterprise, Splunk Cloud
- Last Updated: 2024-01-18
- Author: Rod Soto, Eric McGinnis, Chase Franklin
- ID: 8f0e8380-a835-4f2b-b749-9ce119364df0
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
NIST
- DE.AE
CIS20
- CIS 10
CVE
ID | Summary | CVSS |
---|---|---|
CVE-2024-23675 | In Splunk Enterprise versions below 9.0.8 and 9.1.3, Splunk app key value store (KV Store) improperly handles permissions for users that use the REST application programming interface (API). This can potentially result in the deletion of KV Store collections. | None |
Search
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`splunkda` uri=/servicesNS/nobody/search/admin/collections-conf/_reload status=2* method="POST" user=* file=_reload
| stats count min(_time) as firstTime max(_time) as lastTime values(status) as status by host clientip file method
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `splunk_enterprise_kv_store_incorrect_authorization_filter`
Macros
The SPL above uses the following Macros:
splunk_enterprise_kv_store_incorrect_authorization_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.
- uri
- status
- method
- file
- clientip
- host
How To Implement
Requires access to internal indexes and REST API enabled instances.
Known False Positives
This is a hunting search and will produce false positives. Operator must follow results into instances where curl requests coming from actual users may indicate intent of exploitation.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
25.0 | 50 | 50 | Possible attempt to access KV Store collections at $host$ |
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