Windows Hidden Schedule Task Settings
Description
The following analytic detects the creation of hidden scheduled tasks on Windows systems, which are not visible in the UI. It leverages Windows Security EventCode 4698 to identify tasks where the 'Hidden' setting is enabled. This behavior is significant as it may indicate malware activity, such as Industroyer2, or the use of living-off-the-land binaries (LOLBINs) to download additional payloads. If confirmed malicious, this activity could allow attackers to execute code stealthily, maintain persistence, or further compromise the system by downloading additional malicious payloads.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2024-05-28
- Author: Teoderick Contreras, Splunk
- ID: 0b730470-5fe8-4b13-93a7-fe0ad014d0cc
Annotations
ATT&CK
Kill Chain Phase
- Installation
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
1
2
3
4
5
6
7
`wineventlog_security` EventCode=4698
| xmlkv Message
| search Hidden = true
| stats count min(_time) as firstTime max(_time) as lastTime by Task_Name, Command, Author, Hidden, dest
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_hidden_schedule_task_settings_filter`
Macros
The SPL above uses the following Macros:
windows_hidden_schedule_task_settings_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Required fields
List of fields required to use this analytic.
- _time
- dest
- Task_Name
- Command
- Author
- Enabled
- Hidden
- Arguments
How To Implement
To successfully implement this search, you need to be ingesting logs with the task schedule (Exa. Security Log EventCode 4698) endpoints. Tune and filter known instances of Task schedule used in your environment.
Known False Positives
unknown
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
64.0 | 80 | 80 | A schedule task with hidden setting enable in host $dest$ |
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
Reference
- https://www.welivesecurity.com/2022/04/12/industroyer2-industroyer-reloaded/
- https://cert.gov.ua/article/39518
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: 2