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URLhaus: 37-77-150-120 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: 2026-08-09T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hypothesis detects adversary behavior involving the consumption of newly identified malicious URLs from the URLhaus threat intelligence feed, specifically targeting the signature associated with IP 37-77-150-120 to identify potential command-and-control or phishing activities. A SOC team should proactively hunt for this indicator in Azure Sentinel to rapidly isolate compromised endpoints and prevent lateral movement before the malicious URLs are fully propagated across the broader threat landscape.

IOC Summary

Threat: 37-77-150-120 Total URLs: 2 Active URLs: 2

URLStatusThreatDate Added
hxxps://37.77.150.120/Bin/ScreenConnect.ClientSetup.exeonlinemalware_download2026-08-09
hxxps://37.77.150.120/bin/support.client.exeonlinemalware_download2026-08-09

KQL: Url Dns Hunt

// Hunt for DNS resolution of URLhaus malicious domains
// Threat: 37-77-150-120
let malicious_domains = dynamic(["37.77.150.120"]);
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(["37.77.150.120"]);
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 and corresponding exclusion strategies for the URLhaus: 37-77-150-120 Malicious URLs detection rule:

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