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Description

The following analytic uses Windows EventCode 7045 to identify new Kernel Mode Drivers being loaded in Windows from a non-standard path. Note that, adversaries may move malicious or vulnerable drivers into these paths and load up. The idea is that this analytic provides visibility into drivers loading in non-standard file paths.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Endpoint
  • Last Updated: 2022-04-04
  • Author: Michael Haag, Splunk
  • ID: 9216ef3d-066a-4958-8f27-c84589465e62

Annotations

ATT&CK
ID Technique Tactic
T1014 Rootkit Defense Evasion
Kill Chain Phase
  • Installation
NIST
  • DE.CM
CIS20
  • CIS 3
  • CIS 5
  • CIS 16
CVE
1
2
3
4
5
`wineventlog_system` EventCode=7045 Service_Type="kernel mode driver" NOT (Service_File_Name IN ("*\\Windows\\*", "*\\Program File*", "*\\systemroot\\*","%SystemRoot%*", "system32\*")) 
| stats count min(_time) as firstTime max(_time) as lastTime by ComputerName EventCode Service_File_Name Service_Name Service_Start_Type Service_Type 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `windows_driver_load_non_standard_path_filter`

Macros

The SPL above uses the following Macros:

:information_source: windows_driver_load_non-standard_path_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required field

  • ComputerName
  • EventCode
  • Service_File_Name
  • Service_Name
  • Service_Start_Type
  • Service_Type

How To Implement

To implement this analytic, the Windows EventCode 7045 will need to be logged. The Windows TA for Splunk is also recommended.

Known False Positives

False positives may be present based on legitimate third party applications needing to install drivers. Filter, or allow list known good drivers consistently being installed in these paths.

Associated Analytic story

RBA

Risk Score Impact Confidence Message
36.0 60 60 A kernel mode driver was loaded from a non-standard path on $ComputerName$.

: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