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 Re-identifies Sensitive Information
Target Profile
Splunk
Splunk through pysigma-backend-splunk.
Format Mode
Default
Default pySigma output mode for this backend.
Conversion Output
Google Cloud Re-identifies Sensitive Information
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 Re-identifies Sensitive Information
id: 234f9f48-904b-4736-a34c-55d23919e4b7
status: test
description: Identifies when sensitive information is re-identified in google Cloud.
references:
- https://cloud.google.com/dlp/docs/reference/rest/v2/projects.content/reidentify
author: Austin Songer @austinsonger
date: 2021-08-15
modified: 2022-10-09
tags:
- attack.impact
- attack.t1565
logsource:
product: gcp
service: gcp.audit
detection:
selection:
gcp.audit.method_name: projects.content.reidentify
condition: selection
falsepositives:
- Unknown
level: medium
CLI command
Copy the exact command to reproduce this translation locally.
sigma convert --without-pipeline -t splunk -f default rules/cloud/gcp/audit/gcp_dlp_re_identifies_sensitive_information.yml