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blackbyte domain indicators

SIGhighconfidence 82/100generated 2026-10-18

Any of 1 high-confidence domain indicators skopnix attributes to blackbyte.

Linked actors
blackbyte
False positives
Every value is a skopnix indicator tied to blackbyte with confidence >= 82 from >= 2 independent sources, warninglist-clean (reserved / CDN / cloud / scanners / top sites) — re-validate against last_seen before blocking.

Sigma rule

skopnix-sigma-actor-blackbyte-domain-849a9804.ymldownload .yml ↓
title: Skopnix - blackbyte domain indicators
id: 68f94c23-f303-5b8e-a525-83176b201a64
status: experimental
description: Any of 1 high-confidence domain indicators skopnix attributes to blackbyte.
references:
  - https://skopnix.com/actors/blackbyte
author: skopnix
date: '2026-10-18'
tags:
  - attack.command-and-control
  - attack.t1071
logsource:
  category: dns
detection:
  selection:
    query:
      - file.io
  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