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ThreatFox: Unknown Stealer IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
infostealeriocthreatfoxunknown_stealer
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: 2026-06-28T11:00:00Z · Confidence: high

Hunt Hypothesis

This hunt targets adversary behavior where malicious actors deploy the Unknown Stealer to exfiltrate sensitive credentials and data using newly identified Indicators of Compromise (IOCs). Proactively hunting for these IOCs in Azure Sentinel is critical because early detection of this high-severity stealer allows the SOC team to contain lateral movement and prevent widespread credential theft before automated alerts trigger.

IOC Summary

Malware Family: Unknown Stealer Total IOCs: 2 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domainadvanceslibrary.combotnet_cc2026-06-28100%
domainremiumholdings.combotnet_cc2026-06-2875%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown Stealer
let malicious_domains = dynamic(["advanceslibrary.com", "remiumholdings.com"]);
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 Stealer IOCs rule in an enterprise environment, along with suggested filters or exclusions:

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