Phoenix Studio
Convert indexed Sigma rules into analyst-ready detections.
This studio is built around Phoenix's own rule corpus, not a blank editor. Search by title or rule id, choose a local pySigma backend, then reveal pipelines only when you actually need them.
Indexed Rules
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Backends
17
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pySigma Versions
10
Newest: 1.3.3
Translation Workspace
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Tune Translation
Active Rule
Malicious ShellIntel PowerShell Commandlets
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Malicious ShellIntel PowerShell Commandlets
Using Splunk · Default · pySigma 1.3.3
Translation controls
Adjust the rule on the left, then regenerate when you want a fresh backend-native query.
BackendSplunkFormatDefaultVersion1.3.3
title: Malicious ShellIntel PowerShell Commandlets
id: 402e1e1d-ad59-47b6-bf80-1ee44985b3a7
status: test
description: Detects Commandlet names from ShellIntel exploitation scripts.
references:
- https://github.com/Shellntel/scripts/
author: Max Altgelt (Nextron Systems), Tobias Michalski (Nextron Systems)
date: 2021-08-09
modified: 2023-01-02
tags:
- attack.execution
- attack.t1059.001
logsource:
product: windows
category: ps_script
definition: 'Requirements: Script Block Logging must be enabled'
detection:
selection:
ScriptBlockText|contains:
- 'Invoke-SMBAutoBrute'
- 'Invoke-GPOLinks'
# - 'Out-Minidump' # Covered in 89819aa4-bbd6-46bc-88ec-c7f7fe30efa6
- 'Invoke-Potato'
condition: selection
falsepositives:
- Unknown
level: high
CLI command
Copy the exact command to reproduce this translation locally.
sigma convert --without-pipeline -t splunk -f default rules/windows/powershell/powershell_script/posh_ps_shellintel_malicious_commandlets.yml