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
Network Reconnaissance Activity
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Network Reconnaissance Activity
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: Network Reconnaissance Activity
id: e6313acd-208c-44fc-a0ff-db85d572e90e
status: test
description: Detects a set of suspicious network related commands often used in recon stages
references:
- https://thedfirreport.com/2022/02/07/qbot-likes-to-move-it-move-it/
author: Florian Roth (Nextron Systems)
date: 2022-02-07
tags:
- attack.discovery
- attack.t1087
- attack.t1082
- car.2016-03-001
logsource:
category: process_creation
product: windows
detection:
selection:
CommandLine|contains|all:
- 'nslookup'
- '_ldap._tcp.dc._msdcs.'
condition: selection
falsepositives:
- False positives depend on scripts and administrative tools used in the monitored environment
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_nslookup_domain_discovery.yml