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ThreatFox: Remus IOCs

ioc-hunt HIGH ThreatFox
DnsEventsUrlClickEvents
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: 2026-07-04T11:00:00Z · Confidence: high

Hunt Hypothesis

This detection rule identifies adversary activity linked to the Remus threat family by monitoring for specific Indicators of Compromise (IOCs) that signal potential reconnaissance or initial access attempts. The SOC team should proactively hunt for these signals in Azure Sentinel to rapidly validate and contain early-stage intrusions before they escalate into broader lateral movements within the cloud environment.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
domainmidpfv.xyzbotnet_cc2026-07-04100%
urlhxxp://tolail.xyz:7538botnet_cc2026-07-0475%

KQL: Domain Hunt

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

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Remus
let malicious_urls = dynamic(["http://tolail.xyz:7538"]);
UrlClickEvents
| where Url has_any (malicious_urls)
| project Timestamp, AccountUpn, Url, ActionType, IsClickedThrough
| order by Timestamp desc

Required Data Sources

Sentinel TableNotes
DnsEventsEnsure this data connector is enabled
UrlClickEventsEnsure this data connector is enabled

References

False Positive Guidance

Here are four 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/