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
Google Cloud Storage Buckets Enumeration
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Google Cloud Storage Buckets Enumeration
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: Google Cloud Storage Buckets Enumeration
id: e2feb918-4e77-4608-9697-990a1aaf74c3
status: test
description: Detects when storage bucket is enumerated in Google Cloud.
references:
- https://cloud.google.com/storage/docs/json_api/v1/buckets
author: Austin Songer @austinsonger
date: 2021-08-14
modified: 2022-10-09
tags:
- attack.discovery
logsource:
product: gcp
service: gcp.audit
detection:
selection:
gcp.audit.method_name:
- storage.buckets.list
- storage.buckets.listChannels
condition: selection
falsepositives:
- Storage Buckets being enumerated may be performed by a system administrator. Verify whether the user identity, user agent, and/or hostname should be making changes in your environment.
- Storage Buckets enumerated from unfamiliar users should be investigated. If known behavior is causing false positives, it can be exempted from the rule.
level: low
CLI command
Copy the exact command to reproduce this translation locally.
sigma convert --without-pipeline -t splunk -f default rules/cloud/gcp/audit/gcp_bucket_enumeration.yml