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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Newest: 1.3.3

Translation Workspace

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Active Rule

Potential OGNL Injection Exploitation In JVM Based Application

pySigma version

Backend

Format

Target Profile

Splunk

Splunk through pysigma-backend-splunk.

Format Mode

Default

Default pySigma output mode for this backend.

Conversion Output

Potential OGNL Injection Exploitation In JVM Based Application

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: Potential OGNL Injection Exploitation In JVM Based Application
id: 4d0af518-828e-4a04-a751-a7d03f3046ad
status: test
description: |
    Detects potential OGNL Injection exploitation, which may lead to RCE.
    OGNL is an expression language that is supported in many JVM based systems.
    OGNL Injection is the reason for some high profile RCE's such as Apache Struts (CVE-2017-5638) and Confluence (CVE-2022-26134)
references:
    - https://www.wix.engineering/post/threat-and-vulnerability-hunting-with-application-server-error-logs
author: Moti Harmats
date: 2023-02-11
tags:
    - attack.initial-access
    - attack.t1190
    - cve.2017-5638
    - cve.2022-26134
logsource:
    category: application
    product: jvm
    definition: 'Requirements: application error logs must be collected (with LOG_LEVEL=ERROR and above)'
detection:
    keywords:
        - 'org.apache.commons.ognl.OgnlException'
        - 'ExpressionSyntaxException'
    condition: keywords
falsepositives:
    - Application bugs
level: high

CLI command

Copy the exact command to reproduce this translation locally.

sigma convert --without-pipeline -t splunk -f default rules/application/jvm/java_ognl_injection_exploitation_attempt.yml