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
Ready to search
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 Speech Runtime Binary Child Process
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Suspicious Speech Runtime Binary Child Process
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 Speech Runtime Binary Child Process
id: 78f10490-f2f4-4d19-a75b-4e0683bf3b8d
status: experimental
description: |
Detects suspicious Speech Runtime Binary Execution by monitoring its child processes.
Child processes spawned by SpeechRuntime.exe could indicate an attempt for lateral movement via COM & DCOM hijacking.
references:
- https://github.com/rtecCyberSec/SpeechRuntimeMove
author: andrewdanis
date: 2025-10-23
logsource:
category: process_creation
product: windows
tags:
- attack.defense-evasion
- attack.lateral-movement
- attack.t1021.003
- attack.t1218
detection:
selection:
ParentImage|endswith: '\SpeechRuntime.exe'
condition: selection
falsepositives:
- Unlikely.
level: high
CLI command
Copy the exact command to reproduce this translation locally.
sigma convert --without-pipeline -t splunk -f default rules/windows/process_creation/proc_creation_win_speechruntime_child_process.yml