Detection: Windows Scheduled Task with Suspicious Command

Updated Date: 2025-02-07 ID: 1f44c126-c26a-4dd3-83bb-0f9a0f03ecc3 Author: Steven Dick Type: TTP Product: Splunk Enterprise Security

Description

The following analytic detects the creation of scheduled tasks designed to execute commands using native Windows shells like PowerShell, Cmd, Wscript, or Cscript or from public folders such as Users, Temp, or ProgramData. It leverages Windows Security EventCode 4698, 4700, and 4702 to identify when such tasks are registered, enabled, or modified. This activity is significant as it may indicate an attempt to establish persistence or execute malicious commands on a system. If confirmed malicious, this could allow an attacker to maintain access, execute arbitrary code, or escalate privileges, posing a severe threat to the environment.

Search

 1`wineventlog_security` EventCode IN (4698,4700,4702)
 2
 3| eval TaskContent = case(isnotnull(TaskContentNew),TaskContentNew,true(),TaskContent)
 4
 5| xmlkv TaskContent
 6
 7| stats count min(_time) as firstTime max(_time) as lastTime latest(Arguments) as Arguments latest(Author) as Author by Computer, Caller_User_Name, TaskName, Command, Enabled, Hidden, EventCode
 8
 9| lookup windows_suspicious_tasks task_command as Command 
10
11| where tool == "shell command use" OR tool == "suspicious paths"
12
13| eval command=TaskName, process=Command+if(isnotnull(Arguments)," ".Arguments,""), src_user=Author, user = Caller_User_Name, dest = Computer, signature_id = EventCode 
14
15| `security_content_ctime(firstTime)` 
16
17| `security_content_ctime(lastTime)`
18
19| `windows_scheduled_task_with_suspicious_command_filter`

Data Source

Name	Platform	Sourcetype	Source
Windows Event Log Security 4698	Windows	`'xmlwineventlog'`	`'XmlWinEventLog:Security'`
Windows Event Log Security 4700	Windows	`'xmlwineventlog'`	`'XmlWinEventLog:Security'`
Windows Event Log Security 4702	Windows	`'xmlwineventlog'`	`'XmlWinEventLog:Security'`

Macros Used

Name	Value
security_content_ctime	`convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$)`
windows_scheduled_task_with_suspicious_command_filter	`search *`

windows_scheduled_task_with_suspicious_command_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK

+ Kill Chain Phases

+ NIST

+ CIS

- Threat Actors

ID	Technique	Tactic
T1053.005	Scheduled Task	Execution

Exploitation

Installation

DE.CM

CIS 10

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting	Value
Disabled	true
Cron Schedule	`0 * * * *`
Earliest Time	`-70m@m`
Latest Time	`-10m@m`
Schedule Window	`auto`
Creates Notable	Yes
Rule Title	`%name%`
Rule Description	`%description%`
Notable Event Fields	user, dest
Creates Risk Event	True

This configuration file applies to all detections of type TTP. These detections will use Risk Based Alerting and generate Notable Events.

Implementation

To successfully implement this search, you need to be ingesting Windows Security Event Logs with 4698 EventCode enabled. The Windows TA is also required.

Known False Positives

False positives are possible if legitimate applications are allowed to register tasks that call a shell to be spawned. Filter as needed based on command-line or processes that are used legitimately. Windows Defender, Google Chrome, and MS Edge updates may trigger this detection.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message:

A suspicious windows scheduled task named [$TaskName$] was detected on $dest$, this may be an indicator of [$tool$]

Risk Object	Risk Object Type	Risk Score	Threat Objects
user	user	70	Command
dest	system	70	Command

References

Detection Testing

Test Type	Status	Dataset	Source	Sourcetype
Validation	✅ Passing	N/A	N/A	N/A
Unit	✅ Passing	Dataset	`XmlWinEventLog:Security`	`XmlWinEventLog`
Integration	✅ Passing	Dataset	`XmlWinEventLog:Security`	`XmlWinEventLog`

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: 1