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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: 2026-06-30T11:00:00Z · Confidence: high

Hunt Hypothesis

This detection rule identifies adversary activity linked to the Mozi malware by monitoring for specific threat intelligence indicators of compromise (IOCs) within Azure Sentinel logs. Proactively hunting for these signatures is critical because Mozi’s ability to exfiltrate sensitive data and establish persistence makes early identification essential for minimizing dwell time and preventing lateral movement across cloud resources.

IOC Summary

Malware Family: Mozi Total IOCs: 2 IOC Types: url

TypeValueThreat TypeFirst SeenConfidence
urlhxxp://153[.]117[.]41[.]127:47793/Mozi.apayload_delivery2026-06-3075%
urlhxxp://110[.]37[.]35[.]79:33903/Mozi.mpayload_delivery2026-06-3075%

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Mozi
let malicious_urls = dynamic(["http://153.117.41.127:47793/Mozi.a", "http://110.37.35.79:33903/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 specific false positive scenarios for the ThreatFox: Mozi IOCs detection rule in an enterprise environment, including suggested filters and exclusions:

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