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URLhaus: RemusStealer Malicious URLs

ioc-hunt HIGH URLhaus
CommonSecurityLogDnsEvents
infostealeriocurlhaus
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: 2026-07-13T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversary behavior where endpoints access known RemusStealer malicious URLs to exfiltrate sensitive credentials and browser data through web traffic channels. Proactively hunting for these specific indicators in Azure Sentinel is critical because early detection of this stealer allows the SOC team to isolate compromised assets before lateral movement occurs across the cloud environment.

IOC Summary

Threat: RemusStealer Total URLs: 2 Active URLs: 2

URLStatusThreatDate Added
hxxp://31.77.168.180:5000/piva.exeonlinemalware_download2026-07-13
hxxp://31.77.168.180:5000/sosermasn.exeonlinemalware_download2026-07-13

KQL: Url Dns Hunt

// Hunt for DNS resolution of URLhaus malicious domains
// Threat: RemusStealer
let malicious_domains = dynamic(["31.77.168.180"]);
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(["31.77.168.180"]);
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: RemusStealer Malicious URLs rule in an enterprise environment, along with recommended filters or exclusions:

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