Splunk unnecessary file extensions allowed by lookup table uploads
Description
The following analytic identifies user activity related to uploading lookup tables with unnecessary filename extensions in Splunk Enterprise versions below 8.1.13, 8.2.10, and 9.0.4. It detects this activity by monitoring HTTP methods (POST, DELETE) and specific URI paths in the internal splunkd_access
logs. This behavior is significant because it can indicate attempts to upload potentially malicious files disguised as lookup tables. If confirmed malicious, this activity could allow an attacker to execute unauthorized code or manipulate data within the Splunk environment, leading to potential data breaches or system compromise.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-28
- Author: Rod Soto, Splunk
- ID: b7d1293f-e78f-415e-b5f6-443df3480082
Annotations
Kill Chain Phase
- Delivery
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`splunkda` method IN ("POST", "DELETE") uri_path=/servicesNS/*/ui/views/*
| eval activity = case( method=="POST" AND like( uri_path , "%/acl" ) , "Permissions Update", method=="POST" AND NOT like( uri_path , "%/acl" ) , "Edited" , method=="DELETE" , "Deleted" )
| rex field=uri_path "(?<user_and_app>.*?)\/ui\/views/(?<dashboard_encoded>.*)"
| eval dashboard = urldecode( dashboard_encoded )
| table _time, uri_path, user, dashboard, activity, uri_path
| `splunk_unnecessary_file_extensions_allowed_by_lookup_table_uploads_filter`
Macros
The SPL above uses the following Macros:
splunk_unnecessary_file_extensions_allowed_by_lookup_table_uploads_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
- method
- uri_path
How To Implement
Requires access to internal splunkd_access.
Known False Positives
This is a hunting search, the search provides information on upload, edit, and delete activity on Lookup Tables. Manual investigation is necessary after executing search. This search will produce false positives as payload cannot be directly discerned.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
25.0 | 50 | 50 | Potential lookup template injection attempt from $user$ on lookup table at path $uri_path$ |
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: 2