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Detects Hatman malware

yara LOW signature-base
florian-roth
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 signature-base →
Retrieved: 2026-08-03T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversaries leveraging the Hatman malware to inject malicious payloads into targeted systems via the hatman_injector mechanism. A SOC team should proactively search for this behavior in Azure Sentinel to identify early-stage compromise indicators that may be missed by standard alerting due to the rule’s low severity classification.

YARA Rule

rule hatman_injector : hatman {
    meta:
        description = "Detects Hatman malware"
        reference = "https://ics-cert.us-cert.gov/MAR-17-352-01-HatMan%E2%80%94Safety-System-Targeted-Malware"
        date = "2017/12/19"
        modified = "2023-01-09"
        author = "DHS/NCCIC/ICS-CERT"
        id = "b939b83d-cc4a-5998-89a7-8abf8d0b8592"
    condition:
        ( hatman_memcpy and hatman_origaddr and hatman_loadoff )
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

References

False Positive Guidance

Here are 3-5 specific false positive scenarios for the “Detects Hatman malware” rule, including suggested filters and exclusions:

Original source: https://github.com/Neo23x0/signature-base/blob/main/yara/apt_hatman.yar