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Tortoiseshell IP indicators

SIGhighconfidence 81/100generated 2026-10-18

Any of 1 high-confidence IP indicators skopnix attributes to Tortoiseshell.

ATT&CK
T1071 mitre ↗
Linked actors
Tortoiseshell
False positives
Every value is a skopnix indicator tied to Tortoiseshell with confidence >= 81 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-ip-f8baef17.ymldownload .yml ↓
title: Skopnix - Tortoiseshell IP indicators
id: 61d4c2e4-8f6a-55d6-9456-c20238c90a02
status: experimental
description: Any of 1 high-confidence IP indicators skopnix attributes to Tortoiseshell.
references:
  - https://skopnix.com/actors/tortoiseshell
author: skopnix
date: '2026-10-18'
tags:
  - attack.command-and-control
  - attack.t1071
logsource:
  category: firewall
detection:
  selection:
    dst_ip:
      - 64.235.60.123
  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