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URLhaus: rat Malicious URLs

ioc-hunt HIGH URLhaus
CommonSecurityLogDnsEvents
backdooriocurlhaus
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: 2026-07-24T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies adversary activity involving remote access trojan (RAT) malware by flagging network traffic directed toward known malicious URLs curated by URLhaus. Proactive hunting for these indicators in Azure Sentinel is critical to rapidly isolate compromised endpoints and prevent lateral movement or data exfiltration before the RAT establishes persistence on the network.

IOC Summary

Threat: rat Total URLs: 2 Active URLs: 1

URLStatusThreatDate Added
hxxp://193.142.58.29/60/img_214748.pngofflinemalware_download2026-07-24
hxxp://107.173.143.56/xampp/MSI_PRO.pngonlinemalware_download2026-07-24

KQL: Url Dns Hunt

// Hunt for DNS resolution of URLhaus malicious domains
// Threat: rat
let malicious_domains = dynamic(["107.173.143.56"]);
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(["107.173.143.56"]);
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 specific false positive scenarios for the URLhaus: rat Malicious URLs detection rule, along with suggested filters and exclusions tailored for an enterprise environment:

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