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
HackTool - LittleCorporal Generated Maldoc Injection
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
HackTool - LittleCorporal Generated Maldoc Injection
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: HackTool - LittleCorporal Generated Maldoc Injection
id: 7bdde3bf-2a42-4c39-aa31-a92b3e17afac
status: test
description: Detects the process injection of a LittleCorporal generated Maldoc.
references:
- https://github.com/connormcgarr/LittleCorporal
author: Christian Burkard (Nextron Systems)
date: 2021-08-09
modified: 2023-11-28
tags:
- attack.defense-evasion
- attack.execution
- attack.privilege-escalation
- attack.t1204.002
- attack.t1055.003
logsource:
category: process_access
product: windows
detection:
selection:
SourceImage|endswith: '\winword.exe'
CallTrace|contains|all:
- ':\Windows\Microsoft.NET\Framework64\v2.'
- 'UNKNOWN'
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/windows/process_access/proc_access_win_hktl_littlecorporal_generated_maldoc.yml