Sigma rule: Creation of a Local Hidden User Account by Registry
A detection rule from the SigmaHQ repository, shown as its author published it. Dataset version ref-651b1d705f08, updated 2025-10-31T00:00:00.000Z.
Rule
- Title
- Creation of a Local Hidden User Account by Registry
- Status
- test
- Level
- high
- Author
- Christian Burkard (Nextron Systems)
- Date
- 2021-05-03
- Modified
- 2025-10-31
- File
- rules/windows/registry/registry_event/registry_event_add_local_hidden_user.yml
- Commit
- ccbb0369507f796db0b0ae6854c8a2be471b9d84
Sysmon registry detection of a local hidden user account.
Log source
- product
- windows
- category
- registry_event
Detection
selection:
TargetObject|contains: '\SAM\SAM\Domains\Account\Users\Names\'
TargetObject|endswith: '$\(Default)'
Image|endswith: '\lsass.exe'
condition: selectionFalse positives (as the rule lists them)
- Unknown
Tags
- attack.persistence
- attack.t1136.001
MITRE ATT&CK ids this rule names
References
Read on 2026-11-03T00:58:21.399Z under licence sigma-drl-1.1@d5f4c36a from https://github.com/SigmaHQ/sigma/blob/ccbb0369507f796db0b0ae6854c8a2be471b9d84/rules/windows/registry/registry_event/registry_event_add_local_hidden_user.yml
Sources and licences
SigmaHQ
"Creation of a Local Hidden User Account by Registry" by Christian Burkard (Nextron Systems) (SigmaHQ). Rule: https://github.com/SigmaHQ/sigma/blob/ccbb0369507f796db0b0ae6854c8a2be471b9d84/rules/windows/registry/registry_event/registry_event_add_local_hidden_user.yml.
Licensed under the Detection Rule License (DRL) 1.1: https://github.com/SigmaHQ/Detection-Rule-License
Cite this page
Dragons Eye Ransomware Tracker, "Sigma rule: Creation of a Local Hidden User Account by Registry",
entity page, dataset version ref-651b1d705f08, updated 2025-10-31T00:00:00.000Z,
https://ransomware-tracker.com/detections/sigma/460479f3-80b7-42da-9c43-2cc1d54dbccd (accessed 2026-11-03).
Underlying source: SigmaHQ rule 460479f3-80b7-42da-9c43-2cc1d54dbccd, commit ccbb0369507f796db0b0ae6854c8a2be471b9d84.
Pages change. The dataset version identifies the data, but no archive of old versions is kept, so this citation cannot be replayed later.