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ThreatFox: Remus IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
iocthreatfoxwin-remus
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at ThreatFox →
Retrieved: 2026-07-07T11:00:00Z · Confidence: high

Hunt Hypothesis

This hypothesis posits that adversaries are leveraging known Remus malware indicators to establish persistence and exfiltrate sensitive data within our Azure environment. Proactive hunting is critical because these specific IOCs represent a high-severity threat vector that may bypass standard automated alerts, requiring manual correlation to detect early-stage compromise before lateral expansion occurs.

IOC Summary

Malware Family: Remus Total IOCs: 2 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domainleafot.xyzbotnet_cc2026-07-0750%
domainsweetvp.xyzbotnet_cc2026-07-0750%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Remus
let malicious_domains = dynamic(["leafot.xyz", "sweetvp.xyz"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses, QueryType
| order by TimeGenerated desc

Required Data Sources

Sentinel TableNotes
DnsEventsEnsure this data connector is enabled

References

False Positive Guidance

Here are 4 specific false positive scenarios for the ThreatFox: Remus IOCs detection rule in an enterprise environment, along with suggested filters or exclusions:

Original source: https://threatfox.abuse.ch/browse/malware/win.remus/