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Matches the known samples of the HatMan malware.

yara LOW Yara-Rules
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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 Yara-Rules →
Retrieved: 2026-06-30T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt targets adversary behavior where malicious actors deploy HatMan malware to establish persistence and exfiltrate sensitive data from Azure workloads. Proactively hunting for these specific signatures in Azure Sentinel is critical because early detection of this low-severity threat prevents lateral movement and potential data loss before the malware escalates its impact.

YARA Rule

rule hatman : hatman {
    meta:
        author = "DHS/NCCIC/ICS-CERT"
        description = "Matches the known samples of the HatMan malware."
    condition:
        filesize < 100KB and hatman_compiled_python or hatman_injector or hatman_payload
            or hatman_combined
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

False Positive Guidance

Here are 4 specific false positive scenarios for the HatMan Malware detection rule in an enterprise environment, along with suggested filters or exclusions:

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/MALW_TRITON_HATMAN.yar