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Possible Lateral Movement PowerShell Spawn Remote Services , Distributed Component Object Model , Windows Remote Management , Windows Management Instrumentation , Scheduled Task , Windows Service , PowerShell , MMC
Endpoint
2021-11-29 true
Remote Services
Distributed Component Object Model
Windows Remote Management
Windows Management Instrumentation
Scheduled Task
Windows Service
PowerShell
MMC
Lateral Movement
Lateral Movement
Lateral Movement
Execution
Execution
Persistence
Privilege Escalation
Persistence
Privilege Escalation
Execution
Defense Evasion
Splunk Enterprise
Splunk Enterprise Security
Splunk Cloud
Endpoint

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Description

The following analytic assists with identifying a PowerShell process spawned as a child or grand child process of commonly abused processes during lateral movement techniques including services.exe, wmiprsve.exe, svchost.exe, wsmprovhost.exe and mmc.exe. Legitimate Windows features such as the Service Control Manager, Windows Management Instrumentation, Task Scheduler, Windows Remote Management and the DCOM protocol can be abused to start a process on a remote endpoint. Looking for PowerShell spawned out of this processes may reveal a lateral movement attack. Red Teams and adversaries alike may abuse these services during a breach for lateral movement and remote code execution.

  • Type: TTP
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Endpoint- Datasource: Splunk Add-on for Sysmon
  • Last Updated: 2021-11-29
  • Author: Mauricio Velazco, Splunk
  • ID: cb909b3e-512b-11ec-aa31-3e22fbd008af

Annotations

ATT&CK
ID Technique Tactic
T1021 Remote Services Lateral Movement

| T1021.003 | Distributed Component Object Model | Lateral Movement |

| T1021.006 | Windows Remote Management | Lateral Movement |

| T1047 | Windows Management Instrumentation | Execution |

| T1053.005 | Scheduled Task | Execution, Persistence, Privilege Escalation |

| T1543.003 | Windows Service | Persistence, Privilege Escalation |

| T1059.001 | PowerShell | Execution |

| T1218.014 | MMC | Defense Evasion |

Kill Chain Phase
  • Exploitation
NIST
CIS20
CVE

| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where (Processes.parent_process_name=wmiprvse.exe OR Processes.parent_process_name=services.exe OR Processes.parent_process_name=svchost.exe OR Processes.parent_process_name=wsmprovhost.exe OR Processes.parent_process_name=mmc.exe) (Processes.process_name=powershell.exe OR (Processes.process_name=cmd.exe AND Processes.process=*powershell.exe*) OR Processes.process_name=pwsh.exe OR (Processes.process_name=cmd.exe AND Processes.process=*pwsh.exe*)) by Processes.dest Processes.user Processes.parent_process Processes.process_name Processes.process Processes.process_id Processes.parent_process_id 
| `drop_dm_object_name(Processes)` 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `possible_lateral_movement_powershell_spawn_filter`

Macros

The SPL above uses the following Macros:

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

Required field

  • _time
  • Processes.dest
  • Processes.user
  • Processes.parent_process_name
  • Processes.parent_process
  • Processes.original_file_name
  • Processes.process_name
  • Processes.process
  • Processes.process_id
  • Processes.parent_process_path
  • Processes.process_path
  • Processes.parent_process_id

How To Implement

To successfully implement this search, you need to be ingesting logs with the process name, parent process, and command-line executions from your endpoints.

Known False Positives

Legitimate applications may spawn PowerShell as a child process of the the identified processes. Filter as needed.

Associated Analytic story

RBA

Risk Score Impact Confidence Message
45.0 90 50 A PowerShell process was spawned as a child process of typically abused processes on 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

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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