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ThreatFox: Clipper IOCs

ioc-hunt HIGH ThreatFox
DeviceFileEvents
apk-clipperiocthreatfox
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 detection rule identifies adversary activity consistent with the Clipper malware by monitoring for three specific Indicators of Compromise (IOCs) known to target financial systems and manipulate transaction data. The SOC team should proactively hunt for these IOCs within Azure Sentinel to rapidly identify early-stage infections, thereby preventing potential revenue loss from unauthorized fund redirection before lateral expansion occurs.

IOC Summary

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

TypeValueThreat TypeFirst SeenConfidence
md5_hash44faf223cbf8b4bd1d4221476322fab4payload2026-07-1095%
sha256_hash59eb2fad261dc13a1e9bfab3a57cd51a4841f82787130202ff348bbaf2c6409dpayload2026-07-1095%
sha1_hasha11f2aeabbb8ebfa0e66c457ecdc06d232b4ca51payload2026-07-1095%

KQL: Hash Hunt

// Hunt for files matching known malicious hashes
// Source: ThreatFox - Clipper
let malicious_hashes = dynamic(["44faf223cbf8b4bd1d4221476322fab4", "59eb2fad261dc13a1e9bfab3a57cd51a4841f82787130202ff348bbaf2c6409d", "a11f2aeabbb8ebfa0e66c457ecdc06d232b4ca51"]);
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: Clipper IOCs detection rule in an enterprise environment, along with suggested filters and exclusions:

Original source: https://threatfox.abuse.ch/browse/malware/apk.clipper/