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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: 2026-09-13T11:00:00Z · Confidence: high

Hunt Hypothesis

This hypothesis targets the presence of Mozi botnet indicators, a prevalent IoT malware family that often establishes persistent backdoors and facilitates distributed denial-of-service attacks. Proactively hunting for these IOCs in Azure Sentinel is critical to identify compromised endpoints or network assets before they are leveraged to amplify traffic or exfiltrate data, thereby reducing the overall attack surface.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
urlhxxp://115[.]55[.]144[.]250:57502/Mozi[.]7payload_delivery2026-09-1375%
urlhxxp://139[.]135[.]41[.]164:40894/Mozi.mpayload_delivery2026-09-1375%
urlhxxp://72[.]255[.]26[.]37:45994/Mozi.mpayload_delivery2026-09-1375%

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Mozi
let malicious_urls = dynamic(["http://115.55.144.250:57502/Mozi.7", "http://139.135.41.164:40894/Mozi.m", "http://72.255.26.37:45994/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

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