Windows SIP Provider Inventory
Description
The following inventory analytic is used with a PowerShell scripted inputs to capture all SIP providers on a Windows system. This analytic is used to identify potential malicious SIP providers that may be used to subvert trust controls. Upon review, look for new and non-standard paths for SIP providers.
- Type: Hunting
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2023-10-10
- Author: Michael Haag, Splunk
- ID: 21c5af91-1a4a-4511-8603-64fb41df3fad
Annotations
Kill Chain Phase
- Exploitation
NIST
- DE.AE
CIS20
- CIS 10
CVE
Search
1
2
3
4
5
`subjectinterfacepackage` Dll=*\\*.dll
| stats count min(_time) as firstTime max(_time) as lastTime values(Dll) by Path host
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_sip_provider_inventory_filter`
Macros
The SPL above uses the following Macros:
windows_sip_provider_inventory_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.
- Path
- Dll
- host
How To Implement
To implement this analytic, one must first perform inventory using a scripted inputs. Review the following Gist - https://gist.github.com/MHaggis/75dd5db546c143ea67703d0e86cdbbd1
Known False Positives
False positives are limited as this is a hunting query for inventory.
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
25.0 | 50 | 50 | A list of SIP providers on the system is available. Review for new and non-standard paths for SIP providers on $host$. |
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