SARA / Free Tools / Sigma Generator

Free Sigma Rule Generator

Describe the behaviour you want to detect. SARA writes a starting Sigma rule with MITRE tags, false-positive guidance, and detection-engineering context. Anonymous, no account, best-effort generic detection.

VALID T1190
Sigma rule
title: Apache OFBiz CVE-2024-38856 Authentication Bypass via ProgramExport
id: 89a53f79-fa0b-46b1-9761-65364b69c31c
status: experimental
description: |
    Detects exploitation attempts of CVE-2024-38856, a CISA KEV-listed authentication bypass
    in Apache OFBiz. Attackers use path traversal sequences and the ProgramExport endpoint
    to bypass authentication and execute arbitrary code. CVSS 9.8.
references:
    - https://nvd.nist.gov/vuln/detail/CVE-2024-38856
    - https://www.cisa.gov/known-exploited-vulnerabilities-catalog
    - https://lists.apache.org/thread/w1q23o9w9oc17nw0x8tjx8m9q9rk7tdd
author: SARA Detection Engineering
date: 2026-08-18
tags:
    - attack.t1190
    - attack.initial_access
logsource:
    category: webserver
detection:
    selection_endpoint:
        cs-uri-stem|contains|all:
            - "ProgramExport"
            - "webtools"
    selection_traversal:
        cs-uri-stem|contains:
            - "..;/"
            - "..%2f"
            - "..%5c"
            - "/%3b/"
    filter_legitimate:
        cs-user-agent|contains:
            - "OFBiz"
            - "Apache-HttpClient"
    condition: selection_endpoint and selection_traversal and not filter_legitimate
fields:
    - c-ip
    - cs-method
    - cs-uri-stem
    - cs-user-agent
    - sc-status
falsepositives:
    - Legitimate administrative access to the OFBiz webtools interface
    - Security scanners testing for this vulnerability
level: high

ReferenceWhat is Sigma?

Sigma is the open, vendor-neutral format for log-based detections. One rule, written once, converts to Splunk SPL, Elastic ES|QL, KQL for Microsoft Sentinel, Sumo, Chronicle, QRadar, and more. Detection engineers love it for the same reason ATT&CK is the lingua franca for tactics — Sigma is the lingua franca for the queries that detect them.

GuideHow to use this tool

  1. Describe the behaviour you want to detect in plain English. Be specific — "PowerShell encoded command spawned by an Office process" wins over "PowerShell abuse".
  2. SARA writes a starting Sigma rule with the right logsource, fields, MITRE ATT&CK tags, and false-positive guidance.
  3. Copy the YAML or convert to your target backend. Then tune the rule for your environment — the output is a starting point, not a tested artifact.

When to useWhen is the Sigma generator the right move?

Closing a coverage gap fast

You've got a fresh write-up of a TTP and need a starting detection in your stack today. Generate, tune, ship.

Onboarding a junior detection engineer

Pair-program with SARA: the generator produces the skeleton, the engineer learns by tuning, the team commits the result.

Translating between backends

You have a rule in one query language; describe it in English and get the Sigma version + conversions to every other backend.

Sanity-checking a hypothesis

Sketch a detection idea in 30 seconds before investing in a full DE sprint.

API

Want this in your SOAR or SIEM?

SARA Open ships an OpenAI-compatible API. Call POST /api/v1/sigma — Plain English in, valid Sigma YAML out, with MITRE tags and false-positive guidance.

curl -X POST https://sara-open.sirp.io/api/v1/sigma \
  -H "Authorization: Bearer $SARA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"description": "PowerShell encoded command from Office"}'
Read the API reference →

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