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URLhaus: mirai Malicious URLs

ioc-hunt HIGH URLhaus
CommonSecurityLogDnsEvents
iocurlhaus
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 URLhaus →
Retrieved: 2026-07-29T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies network traffic communicating with known Mirai botnet command-and-control URLs to uncover potential IoT device infections and lateral movement. Proactive hunting in Azure Sentinel is critical because Mirai variants can rapidly compromise unpatched devices, leading to large-scale DDoS attacks or data exfiltration before traditional signature-based alerts trigger.

IOC Summary

Threat: mirai Total URLs: 2 Active URLs: 2

URLStatusThreatDate Added
hxxp://222.243.95.50:41564/ionlinemalware_download2026-07-29
hxxp://222.243.95.50:41564/bin.shonlinemalware_download2026-07-29

KQL: Url Dns Hunt

// Hunt for DNS resolution of URLhaus malicious domains
// Threat: mirai
let malicious_domains = dynamic(["222.243.95.50"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses
| order by TimeGenerated desc

KQL: Url Proxy Hunt

// Hunt for web traffic to URLhaus malicious domains
let malicious_domains = dynamic(["222.243.95.50"]);
CommonSecurityLog
| where RequestURL has_any (malicious_domains) or DestinationHostName has_any (malicious_domains)
| project TimeGenerated, SourceIP, RequestURL, DestinationHostName, DeviceAction
| order by TimeGenerated desc

Required Data Sources

Sentinel TableNotes
CommonSecurityLogEnsure this data connector is enabled
DnsEventsEnsure this data connector is enabled

References

False Positive Guidance

Here are 5 specific false positive scenarios for the URLhaus: mirai Malicious URLs detection rule, including suggested filters and exclusions tailored for an enterprise environment:

Original source: https://urlhaus.abuse.ch/