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
Potential SystemNightmare Exploitation Attempt
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Potential SystemNightmare Exploitation Attempt
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: Potential SystemNightmare Exploitation Attempt
id: c01f7bd6-0c1d-47aa-9c61-187b91273a16
status: test
description: Detects an exploitation attempt of SystemNightmare in order to obtain a shell as LOCAL_SYSTEM
references:
- https://github.com/GossiTheDog/SystemNightmare
author: Florian Roth (Nextron Systems)
date: 2021-08-11
modified: 2023-02-04
tags:
- attack.privilege-escalation
- attack.t1068
- detection.emerging-threats
logsource:
category: process_creation
product: windows
detection:
selection:
CommandLine|contains:
- 'printnightmare.gentilkiwi.com'
- ' /user:gentilguest '
- 'Kiwi Legit Printer'
condition: selection
falsepositives:
- Unknown
level: critical
CLI command
Copy the exact command to reproduce this translation locally.
sigma convert --without-pipeline -t splunk -f default rules-emerging-threats/2021/Exploits/SystemNightmare-Exploit/proc_creation_win_exploit_other_systemnightmare.yml