Scheduled tasks used in BadRabbit ransomware
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
- Type: TTP
- Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Datamodel: Endpoint
- Last Updated: 2020-07-21
- Author: Bhavin Patel, Splunk
- ID: 1297fb80-f42a-4b4a-9c8b-78c066437cf6
Annotations
ATT&CK
ID | Technique | Tactic |
---|---|---|
T1053.005 | Scheduled Task | Execution, Persistence, Privilege Escalation |
Kill Chain Phase
- Actions on Objectives
NIST
- PR.IP
CIS20
- CIS 3
CVE
Search
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| 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
| `drop_dm_object_name("Processes")`
| `security_content_ctime(firstTime)`
|`security_content_ctime(lastTime)`
| search (process=*rhaegal* OR process=*drogon* OR *viserion_*)
| `scheduled_tasks_used_in_badrabbit_ransomware_filter`
Macros
The SPL above uses the following Macros:
Note that scheduled_tasks_used_in_badrabbit_ransomware_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required field
- _time
How To Implement
You must be ingesting data that records process activity from your hosts to populate the Endpoint data model in the Processes node. You must also be ingesting logs with both the process name and command line from your endpoints. The command-line arguments are mapped to the “process” field in the Endpoint data model.
Known False Positives
No known false positives
Associated Analytic story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
25.0 | 50 | 50 | tbd |
Reference
Test Dataset
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: 3