| ID | Technique | Tactic |
|---|---|---|
| T1053.005 | Scheduled Task | Execution |
Detection: Scheduled tasks used in BadRabbit ransomware
REMOVED DETECTION
This detection has been removed from the Splunk Threat Research content library and is no longer maintained or supported.
Reason: Updated to a new detection name
Removed in version: 5.2.0
Replacement: Scheduled Task Deleted Or Created via CMD
If you have any questions or concerns, please reach out to us at research@splunk.com.
Description
This search looks for flags passed to schtasks.exe on the command-line that indicate that task names related to the execution of Bad Rabbit ransomware were created or deleted. Deprecated because we already have a similar detection
Search
1
2| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime values(Processes.process) as process from datamodel=Endpoint.Processes where Processes.process_name=schtasks.exe (Processes.process= "*create*" OR Processes.process= "*delete*") by Processes.parent_process Processes.process_name Processes.user Processes.dest
3| `drop_dm_object_name("Processes")`
4| `security_content_ctime(firstTime)`
5|`security_content_ctime(lastTime)`
6| search (process=*rhaegal* OR process=*drogon* OR *viserion_*)
7| `scheduled_tasks_used_in_badrabbit_ransomware_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| Sysmon EventID 1 | 'XmlWinEventLog' |
'XmlWinEventLog:Microsoft-Windows-Sysmon/Operational' |
Macros Used
| Name | Value |
|---|---|
| security_content_summariesonly | summariesonly=summariesonly_config allow_old_summaries=oldsummaries_config fillnull_value=fillnull_config`` |
| scheduled_tasks_used_in_badrabbit_ransomware_filter | `` |
scheduled_tasks_used_in_badrabbit_ransomware_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
Default Configuration
This detection is configured by default in Splunk Enterprise Security to run with the following settings:
| Setting | Value |
|---|---|
| Disabled | true |
| Cron Schedule | N/A |
| Earliest Time | N/A |
| Latest Time | N/A |
| Schedule Window | N/A |
| Creates Finding (Notable) | No |
| Creates Intermediate Finding (Risk Event) | No |
Implementation
The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the Processes node of the Endpoint data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process.
Known False Positives
No known false positives
Associated Analytic Story
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | Not Applicable | N/A | N/A | N/A |
| Unit | Not Applicable | N/A | N/A |
N/A |
| Integration | Not Applicable | N/A | N/A |
N/A |
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: GitHub |
Version: 6