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
FoggyWeb Backdoor DLL Loading
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
FoggyWeb Backdoor DLL Loading
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: FoggyWeb Backdoor DLL Loading
id: 640dc51c-7713-4faa-8a0e-e7c0d9d4654c
status: test
description: Detects DLL hijacking technique used by NOBELIUM in their FoggyWeb backdoor. Which loads a malicious version of the expected "version.dll" dll
references:
- https://www.microsoft.com/security/blog/2021/09/27/foggyweb-targeted-nobelium-malware-leads-to-persistent-backdoor/
author: Florian Roth (Nextron Systems)
date: 2021-09-27
modified: 2022-12-09
tags:
- attack.resource-development
- attack.t1587
- detection.emerging-threats
logsource:
category: image_load
product: windows
detection:
selection:
ImageLoaded: 'C:\Windows\ADFS\version.dll'
condition: selection
falsepositives:
- Unlikely
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/Malware/FoggyWeb/image_load_malware_foggyweb_nobelium.yml