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Description

The following analytic identifies all SIP (Subject Interface Package) providers on a Windows system using PowerShell scripted inputs. It detects SIP providers by capturing DLL paths from relevant events. This activity is significant because malicious SIP providers can be used to bypass trust controls, potentially allowing unauthorized code execution. If confirmed malicious, this activity could enable attackers to subvert system integrity, leading to unauthorized access or persistent threats within the environment. Analysts should review for new and non-standard paths to identify potential threats.

  • Type: Hunting

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

  • Last Updated: 2024-05-09
  • Author: Michael Haag, Splunk
  • ID: 21c5af91-1a4a-4511-8603-64fb41df3fad

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1553.003 SIP and Trust Provider Hijacking Defense Evasion
Kill Chain Phase
  • Exploitation
NIST
  • DE.AE
CIS20
  • CIS 10
CVE 


1
2
3
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`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:

:information_source: 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 $host$.

: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: 2