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ThreatFox: IClickFix IOCs

ioc-hunt HIGH ThreatFox
DnsEvents
iocjs-iclickfixthreatfox
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: 2026-08-08T11:00:00Z · Confidence: high

Hunt Hypothesis

This hunt detects adversary activity involving specific indicators of compromise (IOCs) linked to the IClickFix platform, which may signal unauthorized access or data exfiltration attempts targeting enterprise maintenance workflows. A proactive search in Azure Sentinel is critical because these high-severity IOCs can reveal early-stage compromises that standard automated alerts might miss, allowing the SOC team to rapidly isolate affected assets and mitigate potential lateral movement before broader impact occurs.

IOC Summary

Malware Family: IClickFix Total IOCs: 5 IOC Types: domain

TypeValueThreat TypeFirst SeenConfidence
domaina1-analytics.sbsbotnet_cc2026-08-0850%
domainb2-analytics.xyzbotnet_cc2026-08-0850%
domaina2-analytics.xyzbotnet_cc2026-08-0850%
domainlps.edu.sgpayload_delivery2026-08-0850%
domaincareer.cityu.edu.grpayload_delivery2026-08-0850%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - IClickFix
let malicious_domains = dynamic(["a1-analytics.sbs", "b2-analytics.xyz", "a2-analytics.xyz", "lps.edu.sg", "career.cityu.edu.gr"]);
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 and corresponding exclusion strategies for the ThreatFox: IClickFix IOCs detection rule in an enterprise environment:

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