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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: 2026-08-22T23:00:00Z · Confidence: high

Hunt Hypothesis

This detection rule identifies adversary activity linked to the Mozi threat actor by monitoring specific Indicators of Compromise (IOCs) known to facilitate initial access and lateral movement within cloud environments. Proactively hunting for these IOCs in Azure Sentinel is critical due to Mozi’s high severity profile, enabling the SOC team to rapidly detect early-stage intrusions and mitigate potential data exfiltration before broader compromise occurs.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
urlhxxp://153[.]117[.]6[.]79:34093/Mozi.mpayload_delivery2026-08-2275%
urlhxxp://115[.]48[.]134[.]112:38753/Mozi.mpayload_delivery2026-08-2275%
urlhxxp://153[.]117[.]8[.]52:40632/Mozi.mpayload_delivery2026-08-2275%

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Mozi
let malicious_urls = dynamic(["http://153.117.6.79:34093/Mozi.m", "http://115.48.134.112:38753/Mozi.m", "http://153.117.8.52:40632/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 4 specific false positive scenarios for the ThreatFox: Mozi IOCs detection rule, along with targeted filters and exclusions suitable for an enterprise environment:

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