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ThreatFox: HijackLoader IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
iocthreatfoxwin-hijackloader
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: 2026-07-13T23:00:01Z · Confidence: high

Hunt Hypothesis

This hunt targets adversary behavior involving the execution of HijackLoader malware components, which are known to hijack browser sessions and exfiltrate sensitive data through specific indicators of compromise. Proactively hunting for these IOCs in Azure Sentinel is critical because early detection allows the SOC team to isolate compromised endpoints before lateral movement occurs, thereby mitigating the risk of credential theft and persistent access within the cloud environment.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
domainiwannagetmoremoney.beerpayload_delivery2026-07-13100%
domainslippingpit61353.icupayload_delivery2026-07-13100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - HijackLoader
let malicious_domains = dynamic(["iwannagetmoremoney.beer", "slippingpit61353.icu"]);
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: HijackLoader IOCs detection rule, tailored for an enterprise environment:

Original source: https://threatfox.abuse.ch/browse/malware/win.hijackloader/