Skip to content
skopnix
Detections · Rule
← Sigma detectionsSigma · Actor indicator sweep

Tortoiseshell file hash indicators

SIGhighconfidence 76/100generated 2026-10-18

Any of 4 high-confidence file hash indicators skopnix attributes to Tortoiseshell.

Linked actors
Tortoiseshell
False positives
Every value is a skopnix indicator tied to Tortoiseshell with confidence >= 76 from >= 2 independent sources, warninglist-clean (reserved / CDN / cloud / scanners / top sites) — re-validate against last_seen before blocking.

Sigma rule

skopnix-sigma-actor-tortoiseshell-hash-b78419a3.ymldownload .yml ↓
title: Skopnix - Tortoiseshell file hash indicators
id: 028b488b-f029-51b0-b3e5-3b01b41cf88d
status: experimental
description: Any of 4 high-confidence file hash indicators skopnix attributes to Tortoiseshell.
references:
  - https://skopnix.com/actors/tortoiseshell
author: skopnix
date: '2026-10-18'
tags:
  - attack.execution
  - attack.t1204.002
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    Hashes|contains:
      - SHA256=02A3296238A3D127A2E517F4949D31914C15D96726FB4902322C065153B364B2
      - SHA256=07D123364D8D04E3FE0BFA4E0E23DDC7050EF039602ECD72BAED70E6553C3AE4
      - SHA256=D9AC9C950E5495C9005B04843A40F01FA49D5FD49226CB5B03A055232FFC36F3
      - SHA256=F71732F997C53FA45EEF5C988697EB4AA62C8655D8F0BE3268636FC23ADDD193
  condition: selection
falsepositives:
  - Legitimate services sharing the address; verify against skopnix confidence + last_seen
level: high

How to deploy on Sigma

  1. 1.Convert for your SIEM with sigma-cli / pySigma, e.g. sigma convert -t splunk -p sysmon rule.yml.
  2. 2.Run it as a hunt first: every rule ships as status experimental.
  3. 3.Promote to an alert once a week of results is clean on your data.

Check · The processing pipeline must map the logsource (firewall, dns, proxy, webserver, process_creation) to your field names.

References