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ThreatFox: Unknown Loader IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
iocthreatfoxunknown_loader
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: 2026-07-13T23:00:01Z · Confidence: high

Hunt Hypothesis

This hypothesis posits that adversaries are utilizing the Unknown Loader to establish persistence and execute malicious payloads through three specific indicators of compromise within the Azure environment. Proactively hunting for these IOCs in Azure Sentinel is critical to identify early-stage lateral movement or command-and-control activity before the loader fully integrates with existing endpoints.

IOC Summary

Malware Family: Unknown Loader Total IOCs: 3 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domaincacophonydiaphanous-acquiesce.xyzbotnet_cc2026-07-13100%
domainmoonshadowforge.toppayload_delivery2026-07-13100%
domaintimecommittee.spacebotnet_cc2026-07-13100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown Loader
let malicious_domains = dynamic(["cacophonydiaphanous-acquiesce.xyz", "moonshadowforge.top", "timecommittee.space"]);
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 specific false positive scenarios for the ThreatFox: Unknown Loader IOCs detection rule, tailored for an enterprise environment:

Original source: https://threatfox.abuse.ch/browse/malware/unknown_loader/