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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: 2026-07-10T23:00:00Z · Confidence: high

Hunt Hypothesis

This hypothesis posits that adversaries are actively deploying Stealer malware to exfiltrate sensitive credentials and financial data through known Indicators of Compromise (IOCs). Proactive hunting for these specific IOCs within Azure Sentinel is critical to rapidly identify early-stage infections before they escalate into widespread data breaches or ransomware incidents.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
md5_hashbe24a7ff3d55f1b0b790dbec25fb1695payload2026-07-1095%
sha256_hash414d268d7f08654ce40f25c564ac3ac4b624007eb73c09a10e4bb2ff734d6295payload2026-07-1095%
sha1_hash2d0b2c22db90bced28ac61e4a32a185859c5ae86payload2026-07-1095%

KQL: Hash Hunt

// Hunt for files matching known malicious hashes
// Source: ThreatFox - stealler
let malicious_hashes = dynamic(["be24a7ff3d55f1b0b790dbec25fb1695", "414d268d7f08654ce40f25c564ac3ac4b624007eb73c09a10e4bb2ff734d6295", "2d0b2c22db90bced28ac61e4a32a185859c5ae86"]);
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 four specific false positive scenarios for the ThreatFox: Stealler IOCs detection rule in an enterprise environment, along with recommended filters or exclusions:

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