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ThreatFox: Stealc IOCs

ioc-hunt HIGH ThreatFox
DnsEventsUrlClickEvents
iocthreatfoxwin-stealc
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 ThreatFox →
Retrieved: 2026-08-12T11:00:00Z · Confidence: high

Hunt Hypothesis

This detection rule identifies adversary activity linked to the Stealc malware by monitoring specific Indicators of Compromise (IOCs) that signal potential data exfiltration or command-and-control communication. A SOC team should proactively hunt for these signatures in Azure Sentinel to rapidly isolate compromised endpoints and prevent lateral movement before the threat escalates into a broader incident.

IOC Summary

Malware Family: Stealc Total IOCs: 2 IOC Types: url, domain

TypeValueThreat TypeFirst SeenConfidence
urlhxxps://friendihelp.info/fast.phpbotnet_cc2026-08-12100%
domainfriendihelp.infopayload_delivery2026-08-12100%

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Stealc
let malicious_domains = dynamic(["friendihelp.info"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses, QueryType
| order by TimeGenerated desc

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Stealc
let malicious_urls = dynamic(["https://friendihelp.info/fast.php"]);
UrlClickEvents
| where Url has_any (malicious_urls)
| project Timestamp, AccountUpn, Url, ActionType, IsClickedThrough
| order by Timestamp desc

Required Data Sources

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

References

False Positive Guidance

Here are specific false positive scenarios and corresponding filters/exclusions for the ThreatFox: Stealc IOCs detection rule in an enterprise environment:

Original source: https://threatfox.abuse.ch/browse/malware/win.stealc/