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blackbyte file hash indicators

SIGhighconfidence 72/100generated 2026-10-18

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

ATT&CK
T1204.002 mitre ↗
Linked actors
blackbyte
False positives
Every value is a skopnix indicator tied to blackbyte with confidence >= 72 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-hash-035e4c21.ymldownload .yml ↓
title: Skopnix - blackbyte file hash indicators
id: 6b8b61c9-04c5-5e35-bc5d-2092a6678b02
status: experimental
description: Any of 4 high-confidence file hash indicators skopnix attributes to blackbyte.
references:
  - https://skopnix.com/actors/blackbyte
author: skopnix
date: '2026-10-18'
tags:
  - attack.execution
  - attack.t1204.002
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    Hashes|contains:
      - SHA256=1DF11BC19AA52B623BDF15380E3FDED56D8EB6FB7B53A2240779864B1A6474AD
      - SHA256=0097B8722C8C0840E8C1A4DD579438344B3E6B4D630D17B0BBE9C55159F43142
      - SHA256=3FB160E1770FAFEEDFF2D77841BF02108C25CCA4CB6D77E3FBF759077F356B70
      - SHA256=884E96A75DC568075E845CCAC2D4B4CCEC68017E6EF258C7C03DA8C88A597534
  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