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ThreatFox: FAKEUPDATES IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
iocjs-fakeupdatesthreatfox
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: 2026-07-12T11:00:00Z · Confidence: high

Hunt Hypothesis

This hunt targets adversary behavior where malicious actors distribute fraudulent software updates to infiltrate systems and establish persistence through compromised supply chains. Proactively hunting these specific FAKEUPDATES indicators in Azure Sentinel is critical to rapidly identify early-stage compromise vectors before they escalate into widespread lateral movement or data exfiltration incidents.

IOC Summary

Malware Family: FAKEUPDATES Total IOCs: 2 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domainfb-api.raydianpainting.combotnet_cc2026-07-12100%
domainfb-api.raydianpainting.compayload_delivery2026-07-12100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - FAKEUPDATES
let malicious_domains = dynamic(["fb-api.raydianpainting.com", "fb-api.raydianpainting.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: FAKEUPDATES IOCs detection rule, tailored for an enterprise environment:

Original source: https://threatfox.abuse.ch/browse/malware/js.fakeupdates/