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The following analytic detects a suspicious modification to the Windows registry that changes the auto-update notification setting to "Notify before download." This detection leverages data from the Endpoint.Registry data model, focusing on specific registry paths and values. This activity is significant because it is a known technique used by adversaries, including malware like RedLine Stealer, to evade detection and potentially deploy additional payloads. If confirmed malicious, this modification could allow attackers to bypass security measures, maintain persistence, and exploit vulnerabilities on the target host.

  • Type: Anomaly
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Endpoint
  • Last Updated: 2024-05-22
  • Author: Teoderick Contreras, Splunk
  • ID: 4d1409df-40c7-4b11-aec4-bd0e709dfc12




ID Technique Tactic
T1112 Modify Registry Defense Evasion
Kill Chain Phase
  • Exploitation
  • DE.AE
  • CIS 10
| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Registry where Registry.registry_path="*\\SOFTWARE\\Policies\\Microsoft\\Windows\\WindowsUpdate\\AU\\AUOptions" AND Registry.registry_value_data="0x00000002" by Registry.dest Registry.user Registry.registry_path Registry.registry_value_data Registry.registry_key_name 
| `drop_dm_object_name(Registry)` 
| `security_content_ctime(lastTime)` 
| `security_content_ctime(firstTime)` 
| `windows_modify_registry_auto_update_notif_filter`


The SPL above uses the following Macros:

:information_source: windows_modify_registry_auto_update_notif_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
  • Registry.registry_key_name
  • Registry.registry_path
  • Registry.user
  • Registry.dest
  • Registry.registry_value_name
  • Registry.action
  • Registry.registry_value_data

How To Implement

To successfully implement this search you need to be ingesting information on process that include the name of the process responsible for the changes from your endpoints into the Endpoint datamodel in the Processes node. In addition, confirm the latest CIM App 4.20 or higher is installed and the latest TA for the endpoint product.

Known False Positives

administrators may enable or disable this feature that may cause some false positive.

Associated Analytic Story


Risk Score Impact Confidence Message
25.0 50 50 A registry modification in Windows auto update notification on $dest$

: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

Replay any dataset to Splunk Enterprise by using our tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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