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.
title: Potential CVE-2025-32709 Exploitation - Command Execution via LOLBins
id: 4e544c3f-9383-4f3e-9c06-ebbfcf02e6b8
status: experimental
description: |
Detects potential exploitation of CVE-2025-32709. This rule looks for the execution of common LOLBins and scripting interpreters often used to establish initial access via command injection or deserialization flaws. This is a starting point — tune for your environment, specifically the service user account and parent process name.
references:
- https://www.cisa.gov/known-exploited-vulnerabilities-catalog
- https://nvd.nist.gov/vuln/detail/CVE-2025-32709
author: SARA Detection Engineering
date: 2026-08-18
tags:
- attack.execution
- attack.t1059
- attack.t1059.001
- attack.t1059.003
- attack.t1218
- attack.t1218.011
logsource:
category: process_creation
product: windows
detection:
selection_lolbins:
Image|endswith:
- '\powershell.exe'
- '\pwsh.exe'
- '\cmd.exe'
- '\rundll32.exe'
- '\mshta.exe'
- '\certutil.exe'
- '\bitsadmin.exe'
selection_susp_patterns:
CommandLine|contains:
- ' -enc '
- ' -encodedcommand '
- ' -e '
- 'IEX('
- 'Invoke-Expression'
- ' -download '
- ' -urlcache '
- ' -split '
- 'http://'
- 'https://'
- ' -NoP '
- ' -sta '
- ' -w hidden '
- ' -windowstyle hidden '
- 'net user'
- 'net localgroup'
filter_legitimate:
User|contains:
- 'NT AUTHORITY\SYSTEM'
- 'NT AUTHORITY\LOCAL SERVICE'
- 'NT AUTHORITY\NETWORK SERVICE'
ParentImage|endswith:
- '\services.exe'
- '\svchost.exe'
condition: selection_lolbins and selection_susp_patterns and not filter_legitimate
falsepositives:
- Legitimate administrative scripts executed via the web service account.
- Poorly written legacy web applications calling system binaries.
level: high
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.
You've got a fresh write-up of a TTP and need a starting detection in your stack today. Generate, tune, ship.
Pair-program with SARA: the generator produces the skeleton, the engineer learns by tuning, the team commits the result.
You have a rule in one query language; describe it in English and get the Sigma version + conversions to every other backend.
Sketch a detection idea in 30 seconds before investing in a full DE sprint.
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 →