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The following analytic uses Windows XML 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: 2023-02-24
  • Author: Michael Haag, Splunk
  • ID: 9216ef3d-066a-4958-8f27-c84589465e62




ID Technique Tactic
T1014 Rootkit Defense Evasion
T1068 Exploitation for Privilege Escalation Privilege Escalation
Kill Chain Phase
  • Installation
  • DE.CM
  • CIS 3
  • CIS 5
  • CIS 16
`wineventlog_system` EventCode=7045 ServiceType="kernel mode driver" NOT (ImagePath IN ("*\\Windows\\*", "*\\Program File*", "*\\systemroot\\*","%SystemRoot%*", "system32\*")) 
| stats count min(_time) as firstTime max(_time) as lastTime by Computer EventCode ImagePath ServiceName ServiceType 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `windows_driver_load_non_standard_path_filter`


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 fields

List of fields required to use this analytic.

  • _time
  • Computer
  • EventCode
  • ImagePath
  • ServiceName
  • ServiceType

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


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.


Test Dataset

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source | version: 2