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.

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Indexed Rules

3,779

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Backends

Loaded from pysigma-node

pySigma Versions

Newest: 2.0.1

Translation Workspace

Shape the rule before it leaves Phoenix

Tune Translation

Active Rule

Kubernetes Potential Enumeration Activity

pySigma version

Backends follow their supported pySigma version. Select 1.5.1 for Elasticsearch, Kusto, and other 1.x plugins.

Backend

Format

Target Profile

Splunk

Splunk through pysigma-backend-splunk.

Format Mode

Default

Default pySigma output mode for this backend.

Conversion Output

Kubernetes Potential Enumeration Activity

Using Splunk · Default · pySigma 2.0.1

Translation controls

Adjust the rule on the left, then regenerate when you want a fresh backend-native query.

BackendSplunkFormatDefaultVersion2.0.1

title: Kubernetes Potential Enumeration Activity
id: 597a7e84-187d-458b-9e4f-2f5a0e676711
status: experimental
description: |
    Detects potential Kubernetes enumeration or attack activity via the audit log.
    This includes the execution of common shells, utilities, or specialized tools like 'Rakkess' (access_matrix) and 'TruffleHog' via Kubernetes API requests.
    Attackers use these methods to perform reconnaissance (enumeration), secret harvesting, or execute code (exec) within a cluster.
references:
    - https://www.nccgroup.com/research/detection-engineering-for-kubernetes-clusters/
    - https://github.com/trufflesecurity/trufflehog
    - https://github.com/corneliusweig/rakkess
author: uniqu3-us3r
date: 2026-04-28
tags:
    - attack.execution
    - attack.discovery
    - attack.t1609
    - attack.t1613
logsource:
    product: kubernetes
    service: audit
detection:
    selection_status:
        responseStatus.code: 'ALLOW'
    selection_request_uri:
        requestURI|contains:
            # Shells Encoded
            - '%2fbin%2fash'
            - '%2fbin%2fbash'
            - '%2fbin%2fbusybox'
            - '%2fbin%2fdash'
            - '%2fbin%2fsh'
            - '%2fbin%2fzsh'
            # Shells Plain
            - '/bin/ash'
            - '/bin/bash'
            - '/bin/busybox'
            - '/bin/dash'
            - '/bin/sh'
            - '/bin/zsh'
            # Tools Encoded
            - '%2fusr%2fbin%2fcurl'
            - '%2fusr%2fbin%2fkubectl'
            - '%2fusr%2fbin%2fperl'
            - '%2fusr%2fbin%2fpython'
            - '%2fusr%2fbin%2fwget'
            # Tools Plain
            - '/usr/bin/curl'
            - '/usr/bin/kubectl'
            - '/usr/bin/perl'
            - '/usr/bin/python'
            - '/usr/bin/wget'
    selection_request_user_agent:
        userAgent|contains:
            - 'access_matrix'  # Rakkess
            - 'trufflehog'     # Secret scanning tool
            - 'azurehound'     # Azure/Cloud discovery
            - 'micro-scanner'  # Vulnerability scanning
    condition: selection_status and 1 of selection_request_*
falsepositives:
    - Authorized administrative maintenance via kubectl
    - Automated internal infrastructure monitoring and certificate rotation
    - Security-approved vulnerability or secret scanning in DevSecOps pipelines
level: medium

CLI command

Sigma CLI 4.0.0 · Install matching versions, then run from the Phoenix project directory.

python -m pip install 'sigma-cli==4.0.0' 'pysigma==2.0.1' 'pysigma-backend-splunk==3.0.0'
sigma convert --without-pipeline -t splunk -f default 'sigma/rules/application/kubernetes/audit/kubernetes_audit_potential_enumeration_activity.yml'