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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: 2026-07-29T23:00:00Z · Confidence: high

Hunt Hypothesis

This rule detects adversaries leveraging newly identified stealer indicators to exfiltrate sensitive credentials and data from Azure environments before they are widely cataloged in threat intelligence feeds. A proactive hunt is essential because these unknown IOCs often represent emerging threats that have not yet triggered standard signature-based detections, allowing attackers to operate undetected during the initial stages of an intrusion.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
domaintvuvgzk.premiumrent-car.compayload_delivery2026-07-29100%
domaindist.vertexengine.ccbotnet_cc2026-07-29100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown Stealer
let malicious_domains = dynamic(["tvuvgzk.premiumrent-car.com", "dist.vertexengine.cc"]);
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 5 specific false positive scenarios for the ThreatFox: Unknown Stealer IOCs detection rule, including targeted filters and exclusions suitable for an enterprise environment:

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