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Description

The following analytic identifies a powershell script command to retrieve clipboard data. This technique was seen in several post exploitation tools like WINPEAS to steal sensitive information that was saved in clipboard. Using the Get-Clipboard powershell commandlet, adversaries can be able collect data stored in clipboard that might be a copied user name, password or other sensitive information.

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

  • Last Updated: 2022-11-30
  • Author: Teoderick Contreras, Splunk
  • ID: ab73289e-2246-4de0-a14b-67006c72a893

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1115 Clipboard Data Collection
Kill Chain Phase
  • Exploitation
NIST
  • DE.AE
CIS20
  • CIS 10
CVE
1
2
3
4
5
6
7
`powershell` EventCode=4104 ScriptBlockText = "*Get-Clipboard*" 
| stats count min(_time) as firstTime max(_time) as lastTime by EventCode ScriptBlockText Computer UserID 
| rename Computer as dest 
| rename UserID as user
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `windows_clipboard_data_via_get_clipboard_filter`

Macros

The SPL above uses the following Macros:

:information_source: windows_clipboard_data_via_get-clipboard_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
  • ScriptBlockText
  • Opcode
  • Computer
  • UserID
  • EventCode

How To Implement

To successfully implement this analytic, you will need to enable PowerShell Script Block Logging on some or all endpoints. Additional setup here https://docs.splunk.com/Documentation/UBA/5.0.4.1/GetDataIn/AddPowerShell#Configure_module_logging_for_PowerShell.

Known False Positives

It is possible there will be false positives, filter as needed.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
25.0 50 50 Powershell script $ScriptBlockText$ execute Get-Clipboard commandlet on $dest$

: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

source | version: 1