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URLhaus: arm 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: 2026-07-17T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hypothesis posits that adversaries are leveraging ARM-tagged malicious URLs to deliver targeted payloads or phishing campaigns designed specifically for mobile and embedded environments within the organization’s network perimeter. Proactively hunting for these indicators in Azure Sentinel is critical because early detection of ARM-specific threats can prevent lateral movement and data exfiltration before standard signature-based defenses identify the evolving campaign.

IOC Summary

Threat: arm Total URLs: 4 Active URLs: 4

URLStatusThreatDate Added
hxxp://217.60.195.187/bins/parm5onlinemalware_download2026-07-17
hxxp://217.60.195.187/bins/parmonlinemalware_download2026-07-17
hxxp://217.60.195.187/bins/parm7onlinemalware_download2026-07-17
hxxp://217.60.195.187/bins/parm6onlinemalware_download2026-07-17

KQL: Url Dns Hunt

// Hunt for DNS resolution of URLhaus malicious domains
// Threat: arm
let malicious_domains = dynamic(["217.60.195.187"]);
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(["217.60.195.187"]);
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 four specific false positive scenarios for the URLhaus: arm Malicious URLs detection rule in an enterprise environment, along with suggested filters or exclusions:

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