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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: 2026-07-14T11:00:00Z · Confidence: high

Hunt Hypothesis

This hunt targets adversary behavior where malicious actors utilize the Unknown Loader to execute initial payload delivery and establish persistence through five specific indicators of compromise. Proactive hunting in Azure Sentinel is critical because these IOCs often represent early-stage infection vectors that may evade standard signature-based defenses, allowing attackers to maintain a low profile before lateral movement begins.

IOC Summary

Malware Family: Unknown Loader Total IOCs: 5 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domainwoolstem.xyzbotnet_cc2026-07-14100%
domaindddododiiik.compayload_delivery2026-07-14100%
domainextranet-partners-report.compayload_delivery2026-07-14100%
domainimagesafedown.infopayload_delivery2026-07-14100%
domainmentopo.infopayload_delivery2026-07-14100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown Loader
let malicious_domains = dynamic(["woolstem.xyz", "dddododiiik.com", "extranet-partners-report.com", "imagesafedown.info", "mentopo.info"]);
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: Unknown Loader IOCs detection rule, including suggested filters and exclusions tailored for an enterprise environment:

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