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Water Sigbin file hash indicators

SIGhighconfidence 77/100generated 2026-10-18

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

Linked actors
Water Sigbin
False positives
Every value is a skopnix indicator tied to Water Sigbin with confidence >= 77 from >= 2 independent sources, warninglist-clean (reserved / CDN / cloud / scanners / top sites) — re-validate against last_seen before blocking.

Sigma rule

skopnix-sigma-actor-water-sigbin-hash-a33cc8f7.ymldownload .yml ↓
title: Skopnix - Water Sigbin file hash indicators
id: 61352a65-0244-5e95-ab05-9ef2672edfd3
status: experimental
description: Any of 4 high-confidence file hash indicators skopnix attributes to Water Sigbin.
references:
  - https://skopnix.com/actors/water-sigbin
author: skopnix
date: '2026-10-18'
tags:
  - attack.execution
  - attack.t1204.002
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    Hashes|contains:
      - SHA1=4180C193F366021F1C10890A5BCD2D3ECEF47FA7
      - MD5=780965BAD574E4E7F04433431D0D8F63
      - MD5=EB2F5E1B8F818CF6A7DAFE78AEA62C93
      - MD5=F0551696774F66AD3485445D9E3F7214
  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