DNS query for known malicious domain string2me.com
SIGmediumconfidence 71/100generated 2026-10-18
DNS resolution of a domain tracked by skopnix as windshift infrastructure.
- Linked actors
- WindShift
- False positives
- Scoped to one indicator with skopnix confidence 71/100 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-string2me-com-15084ad7.ymldownload .yml ↓title: Skopnix - DNS query for known malicious domain string2me.com
id: 19e8458e-1a77-58bc-8cf7-ed06d19d522d
status: experimental
description: DNS resolution of a domain tracked by skopnix as windshift infrastructure.
references:
- https://skopnix.com/ioc/string2me.com
author: skopnix
date: '2026-10-18'
tags:
- attack.command-and-control
- attack.t1071
logsource:
category: dns
detection:
selection:
query: string2me.com
condition: selection
falsepositives:
- Legitimate services sharing the address; verify against skopnix confidence + last_seen
level: medium
How to deploy on Sigma
- 1.Convert for your SIEM with sigma-cli / pySigma, e.g. sigma convert -t splunk -p sysmon rule.yml.
- 2.Run it as a hunt first: every rule ships as status experimental.
- 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.