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ThreatFox: Unknown malware IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
iocthreatfoxunknown
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: 2026-07-13T11:00:00Z · Confidence: high

Hunt Hypothesis

This hypothesis posits that adversaries are deploying previously unseen malware variants characterized by four distinct indicators of compromise to evade signature-based defenses within the Azure environment. Proactive hunting is critical for SOC teams to rapidly identify these novel threats before they establish persistence or exfiltrate sensitive data, ensuring early containment in a cloud-native context.

IOC Summary

Malware Family: Unknown malware Total IOCs: 4 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domainkffd3.vexlatech.ccbotnet_cc2026-07-13100%
domaingotynotbag.ccpayload_delivery2026-07-13100%
domainblakcinwhitexn.ccpayload_delivery2026-07-13100%
domainauth-code-check.infopayload_delivery2026-07-13100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown malware
let malicious_domains = dynamic(["kffd3.vexlatech.cc", "gotynotbag.cc", "blakcinwhitexn.cc", "auth-code-check.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 specific false positive scenarios for the ThreatFox: Unknown malware IOCs rule, tailored for an enterprise environment where legitimate “unknown” artifacts often mimic malicious behavior:

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