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Description

When an adversary utilizes SliverC2 to laterally move with the Psexec module, it will create a service with the name and description of "Sliver" and "Sliver Implant". Note that these may be easily changed and are specific to only SliverC2. We have also created the same regex as Microsoft has outlined to attempt to capture the suspicious service path (regex101 reference).

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2023-03-03
  • Author: Michael Haag, Splunk
  • ID: 89dad3ee-57ec-43dc-9044-131c4edd663f

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1569 System Services Execution
T1569.002 Service Execution Execution
Kill Chain Phase
  • Installation
NIST
  • DE.CM
CIS20
  • CIS 10
CVE
1
2
3
4
5
6
`wineventlog_system` EventCode=7045 ServiceName="sliver" 
| stats count min(_time) as firstTime max(_time) as lastTime by Computer EventCode ImagePath ServiceName ServiceType 
| rename Computer as dest 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `windows_service_create_sliverc2_filter`

Macros

The SPL above uses the following Macros:

:information_source: windows_service_create_sliverc2_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.

  • EventCode
  • Computer
  • ServiceName
  • ImagePath
  • ServiceType

How To Implement

To implement this analytic, the Windows EventCode 7045 will need to be logged from the System Event log. The Windows TA for Splunk is also recommended.

Known False Positives

False positives should be limited, but if another service out there is named Sliver, filtering may be needed.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
90.0 90 100 A user mode service was created on $dest$ related to SliverC2.

:information_source: 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

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