Windows Query Registry Reg Save
The following analytic identifies a process execution of reg.exe with "save" parameter. This reg.exe parameter is commonly being abused by threat actors, adversaries and red-teamers to dump credentials or to check the registry modification capabilities of certain users or administrators in targeted hosts. This approach was seen in post-exploitation tool like winpeas where it uses "reg save" and "reg restore" to check registry modification restriction in targeted host after gaining access to it.
- Type: Hunting
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2022-12-12
- Author: Teoderick Contreras, Splunk
- ID: cbee60c1-b776-456f-83c2-faa56bdbe6c6
Kill Chain Phase
- CIS 10
1 2 3 4 5 6 | tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where `process_reg` AND Processes.process = "* save *" by Processes.process_name Processes.original_file_name Processes.process Processes.process_id Processes.process_guid Processes.parent_process_name Processes.parent_process Processes.parent_process_guid Processes.dest Processes.user | `drop_dm_object_name(Processes)` | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `windows_query_registry_reg_save_filter`
The SPL above uses the following Macros:
windows_query_registry_reg_save_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
List of fields required to use this analytic.
How To Implement
To successfully implement this search, you need to be ingesting logs with the process name, parent process, and command-line executions from your endpoints. If you are using Sysmon, you must have at least version 6.0.4 of the Sysmon TA. Tune and filter known instances of wermgr.exe may be used.
Known False Positives
network administrator can use this command tool to backup registry before updates or modifying critical registries.
Associated Analytic Story
|9.0||30||30||execution of process $process_name$ in $dest$|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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