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
Discovery Using AzureHound
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Discovery Using AzureHound
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: Discovery Using AzureHound
id: 35b781cc-1a08-4a5a-80af-42fd7c315c6b
status: test
description: Detects AzureHound (A BloodHound data collector for Microsoft Azure) activity via the default User-Agent that is used during its operation after successful authentication.
references:
- https://github.com/BloodHoundAD/AzureHound
author: Janantha Marasinghe
date: 2022-11-27
tags:
- attack.discovery
- attack.t1087.004
- attack.t1526
logsource:
product: azure
service: signinlogs
detection:
selection:
userAgent|contains: 'azurehound'
ResultType: 0
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/cloud/azure/signin_logs/azure_ad_azurehound_discovery.yml