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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: 2026-07-01T23:00:00Z · Confidence: high

Hunt Hypothesis

This hunt detects adversary behavior where an unknown stealer malware executes reconnaissance and data exfiltration activities using three specific Indicators of Compromise (IOCs). The SOC team should proactively hunt for these signals in Azure Sentinel to identify early-stage infections before the stealer establishes persistence or compromises sensitive credentials.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
domainwaysmakeyourlifebetter.combotnet_cc2026-07-01100%
domaingoodpersonofourcentury.combotnet_cc2026-07-01100%
domainbesthappyfamily.combotnet_cc2026-07-01100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown Stealer
let malicious_domains = dynamic(["waysmakeyourlifebetter.com", "goodpersonofourcentury.com", "besthappyfamily.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 specific false positive scenarios for the ThreatFox: Unknown Stealer IOCs detection rule, tailored for an enterprise environment:

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