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-2024-4947 Exploitation - Zimbra Zip Slip via Webmail Import
id: e3be1155-fc47-4df3-822d-73d98fbc66b3
status: experimental
description: |
Detects exploitation attempts of CVE-2024-4947, a Zip Slip vulnerability in Zimbra Collaboration Suite (ZCS).
Attackers exploit the Archive.zip import feature by sending crafted ZIP files containing path traversal sequences (../)
to write webshells or malicious JSP files to the Zimbra server, leading to unauthenticated remote code execution.
This CVE is listed in the CISA Known Exploited Vulnerabilities (KEV) catalog.
references:
- https://nvd.nist.gov/vuln/detail/CVE-2024-4947
- https://www.cisa.gov/known-exploited-vulnerabilities-catalog
- https://wiki.zimbra.com/wiki/Security_Center
author: SARA Detection Engineering
date: 2026-08-18
tags:
- attack.initial-access
- attack.t1190
logsource:
category: webserver
product: zeek
detection:
selection_import:
cs-method: POST
cs-uri-stem|contains:
- '/h/import'
- '/h/upload'
selection_zip:
cs-uri-query|contains: 'archive.zip'
filter_legitimate_archive:
cs-user-agent|contains:
- 'ZimbraWebClient'
condition: selection_import and selection_zip and not filter_legitimate_archive
fields:
- c-ip
- cs-user-agent
- cs-uri-stem
- cs-uri-query
- sc-status
falsepositives:
- Legitimate administrative imports of archive.zip files via the Zimbra web client.
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 →