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ThreatFox: Venus Stealer IOCs

ioc-hunt HIGH ThreatFox
DeviceFileEvents
infostealeriocpy-venus_stealerthreatfox
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: 2026-06-20T11:00:00Z · Confidence: high

Hunt Hypothesis

The hunt hypothesis detects potential Venus Stealer malware activity through known IOCs, indicating an adversary may be exfiltrating sensitive data from compromised systems. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate advanced threats before significant data loss occurs.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
md5_hash63ffc60f431eb604910d605d8d72754bpayload2026-06-2095%
sha256_hashd34be339fd8c47756de5b4e6c402612a333c50b9e1fa4bffdd32cb3f9d5c1d74payload2026-06-2095%
sha1_hashe2b60f4ee39925843ad191a57064d35055d0cf02payload2026-06-2095%

KQL: Hash Hunt

// Hunt for files matching known malicious hashes
// Source: ThreatFox - Venus Stealer
let malicious_hashes = dynamic(["63ffc60f431eb604910d605d8d72754b", "d34be339fd8c47756de5b4e6c402612a333c50b9e1fa4bffdd32cb3f9d5c1d74", "e2b60f4ee39925843ad191a57064d35055d0cf02"]);
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

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