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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: 2026-07-27T11:00:00Z · Confidence: high

Hunt Hypothesis

This rule detects adversary activity involving specific Indicators of Compromise (IOCs) linked to the Remus threat actor, signaling potential reconnaissance or initial access attempts within the Azure Sentinel environment. Proactively hunting for these IOCs allows the SOC team to identify early-stage threats and mitigate risks before adversaries can establish persistence or expand their foothold in the network.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
urlhxxp://texchub.biz:6520botnet_cc2026-07-2775%
domaintexchub.bizbotnet_cc2026-07-27100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Remus
let malicious_domains = dynamic(["texchub.biz"]);
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://texchub.biz:6520"]);
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 specific false positive scenarios and corresponding filters for the ThreatFox: Remus IOCs detection rule in an enterprise environment:

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