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ThreatFox: Mozi IOCs

ioc-hunt HIGH ThreatFox
UrlClickEvents
elf-moziiocthreatfox
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: 2026-08-02T11:00:00Z · Confidence: high

Hunt Hypothesis

This detection rule identifies adversary behavior associated with the Mozi malware family, which specifically targets systems to facilitate covert data exfiltration. A SOC team should proactively hunt for these indicators within Azure Sentinel because Mozi’s sophisticated exfiltration mechanisms often evade standard perimeter defenses, requiring deep visibility into internal network traffic and endpoint logs to prevent significant data loss.

IOC Summary

Malware Family: Mozi Total IOCs: 3 IOC Types: url

TypeValueThreat TypeFirst SeenConfidence
urlhxxp://139[.]135[.]45[.]2:60511/Mozi.mpayload_delivery2026-08-0275%
urlhxxp://139[.]135[.]59[.]231:54094/Mozi.apayload_delivery2026-08-0275%
urlhxxp://113[.]221[.]58[.]195:45339/Mozi.mpayload_delivery2026-08-0275%

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Mozi
let malicious_urls = dynamic(["http://139.135.45.2:60511/Mozi.m", "http://139.135.59.231:54094/Mozi.a", "http://113.221.58.195:45339/Mozi.m"]);
UrlClickEvents
| where Url has_any (malicious_urls)
| project Timestamp, AccountUpn, Url, ActionType, IsClickedThrough
| order by Timestamp desc

Required Data Sources

Sentinel TableNotes
UrlClickEventsEnsure this data connector is enabled

References

False Positive Guidance

Here are 5 specific false positive scenarios for the ThreatFox: Mozi IOCs detection rule in an enterprise environment, along with suggested filters or exclusions:

Original source: https://threatfox.abuse.ch/browse/malware/elf.mozi/