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DNS query for known malicious domain azurenetfiles.net

SIGmediumconfidence 82/100generated 2026-10-18

DNS resolution of a domain tracked by skopnix as shinyhunters infrastructure.

Linked actors
ShinyHunters
False positives
Scoped to one indicator with skopnix confidence 82/100 from 2 independent sources; checked against RFC1918/reserved space, CDN / cloud / scanner ranges and top-site lists (MISP warninglists), GreyNoise when enriched, and skopnix's benign-infrastructure list. Re-validate against last_seen before blocking: infrastructure is re-assigned.

Sigma rule

skopnix-sigma-ioc-domain-azurenetfiles-net-3136a961.ymldownload .yml ↓
title: Skopnix - DNS query for known malicious domain azurenetfiles.net
id: b363023f-3256-541a-9fa1-6e934db901f9
status: experimental
description: DNS resolution of a domain tracked by skopnix as shinyhunters infrastructure.
references:
  - https://skopnix.com/ioc/azurenetfiles.net
author: skopnix
date: '2026-10-18'
tags:
  - attack.command-and-control
  - attack.t1071
logsource:
  category: dns
detection:
  selection:
    query: azurenetfiles.net
  condition: selection
falsepositives:
  - Legitimate services sharing the address; verify against skopnix confidence + last_seen
level: medium

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