Windows Excessive Disabled Services Event
Description
This analytic will identify suspicious excessive number of system events of services that was modified from start to disabled. This technique is seen where the adversary attempts to disable security app services, other malware services oer serve as an destructive impact to complete the objective on the compromised system. One good example for this scenario is Olympic destroyer where it disable all active services in the compromised host as part of its destructive impact and defense evasion.
- Type: TTP
-
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-02-23
- Author: Teoderick Contreras, Splunk
- ID: c3f85976-94a5-11ec-9a58-acde48001122
Annotations
ATT&CK
Kill Chain Phase
- Exploitation
NIST
- DE.CM
CIS20
- CIS 10
CVE
Search
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`wineventlog_system` EventCode=7040 Message = "*service was changed from demand start to disabled."
| stats count values(Message) as MessageList dc(Message) as MessageCount min(_time) as firstTime max(_time) as lastTime by ComputerName EventCode User Sid
| where MessageCount >=10
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `windows_excessive_disabled_services_event_filter`
Macros
The SPL above uses the following Macros:
windows_excessive_disabled_services_event_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
- ComputerName
- EventCode
- Message
- User
- Sid
How To Implement
To successfully implement this search, you need to be ingesting logs with the Service name, Service File Name Service Start type, and Service Type from your endpoints.
Known False Positives
Unknown
Associated Analytic Story
RBA
Risk Score | Impact | Confidence | Message |
---|---|---|---|
81.0 | 90 | 90 | Service was disabled in $Computer$ |
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
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: 1