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ThreatFox: stealler IOCs

ioc-hunt HIGH ThreatFox
DeviceFileEvents
iocpy-steallerthreatfox
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: 2026-08-28T23:00:00Z · Confidence: high

Hunt Hypothesis

This detection rule identifies adversary activity involving Stealer malware by monitoring for specific indicators of compromise (IOCs) that signal potential credential theft and data exfiltration. A proactive hunt is essential in Azure Sentinel to rapidly isolate compromised endpoints and prevent lateral movement before attackers can leverage stolen credentials to access sensitive cloud resources.

IOC Summary

Malware Family: stealler Total IOCs: 3 IOC Types: sha256_hash, sha1_hash, md5_hash

TypeValueThreat TypeFirst SeenConfidence
sha1_hashb07426979d61bbc20b209b88d2f6dd3f5cceb1eepayload2026-08-2895%
md5_hash57629b1f3807d324e3c51a340228fe5apayload2026-08-2895%
sha256_hashf19ce246b09aec504d8cb547f9d3344e14a6ca898f8d88f2207ece0d74f0d3f1payload2026-08-2895%

KQL: Hash Hunt

// Hunt for files matching known malicious hashes
// Source: ThreatFox - stealler
let malicious_hashes = dynamic(["b07426979d61bbc20b209b88d2f6dd3f5cceb1ee", "57629b1f3807d324e3c51a340228fe5a", "f19ce246b09aec504d8cb547f9d3344e14a6ca898f8d88f2207ece0d74f0d3f1"]);
DeviceFileEvents
| where SHA256 in (malicious_hashes) or SHA1 in (malicious_hashes) or MD5 in (malicious_hashes)
| project Timestamp, DeviceName, FileName, FolderPath, SHA256, InitiatingProcessFileName
| order by Timestamp desc

Required Data Sources

Sentinel TableNotes
DeviceFileEventsEnsure this data connector is enabled

References

False Positive Guidance

Here are specific false positive scenarios for the ThreatFox: stealler IOCs detection rule, along with recommended filters and exclusions tailored for an enterprise environment:

Original source: https://threatfox.abuse.ch/browse/malware/py.stealler/