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
3,731
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Backends
17
Loaded from pysigma-node
pySigma Versions
10
Newest: 1.3.3
Translation Workspace
Shape the rule before it leaves Phoenix
Tune Translation
Active Rule
Suspicious Encoded Scripts in a WMI Consumer
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Suspicious Encoded Scripts in a WMI Consumer
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: Suspicious Encoded Scripts in a WMI Consumer
id: 83844185-1c5b-45bc-bcf3-b5bf3084ca5b
status: test
description: Detects suspicious encoded payloads in WMI Event Consumers
references:
- https://github.com/RiccardoAncarani/LiquidSnake
author: Florian Roth (Nextron Systems)
date: 2021-09-01
modified: 2022-10-09
tags:
- attack.privilege-escalation
- attack.execution
- attack.t1047
- attack.persistence
- attack.t1546.003
logsource:
product: windows
category: wmi_event
detection:
selection_destination:
Destination|base64offset|contains:
- 'WriteProcessMemory'
- 'This program cannot be run in DOS mode'
- 'This program must be run under Win32'
condition: selection_destination
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/wmi_event/sysmon_wmi_susp_encoded_scripts.yml