Windows Scheduled Task Service Spawned Shell
Description
The following analytic detects when the Task Scheduler service ("svchost.exe -k netsvcs -p -s Schedule") spawns common command line, scripting, or shell execution binaries such as "powershell.exe" or "cmd.exe". This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and parent process relationships. This activity is significant as attackers often abuse the Task Scheduler for execution and persistence, blending in with legitimate Windows operations. If confirmed malicious, this could allow attackers to execute arbitrary code, maintain persistence, or escalate privileges within the environment.
Query · spl
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
from datamodel=Endpoint.Processes where
Processes.parent_process_name="svchost.exe"
Processes.parent_process="*-k*"
Processes.parent_process= "*netsvcs*"
Processes.parent_process="*-p*"
Processes.parent_process="*-s*"
Processes.parent_process="*Schedule*"
Processes.process_name IN(
"bash.exe",
"cmd.exe",
"cscript.exe",
"ksh.exe",
"powershell.exe",
"pwsh.exe",
"scrcons.exe",
"sh.exe",
"wscript.exe",
"zsh.exe"
)
by Processes.action Processes.dest Processes.original_file_name
Processes.parent_process Processes.parent_process_exec
Processes.parent_process_guid Processes.parent_process_id
Processes.parent_process_name Processes.parent_process_path
Processes.process Processes.process_exec Processes.process_guid
Processes.process_hash Processes.process_id Processes.process_integrity_level
Processes.process_name Processes.process_path Processes.user
Processes.user_id Processes.vendor_product
| `drop_dm_object_name(Processes)`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_scheduled_task_service_spawned_shell_filter`
Implementation guide
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
- Certain scheduled tasks will intentionally call a script via PowerShell or Cmd for example. These will trigger this detection. Evaluate if they are legitimate and apply filters as needed.
Analyst notes
Known false positives: Certain scheduled tasks will intentionally call a script via PowerShell or Cmd for example. These will trigger this detection. Evaluate if they are legitimate and apply filters as needed.