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hatman origcode

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: 2026-08-02T23:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential malicious activity by analyzing original code signatures using the Hatman YARA rule to uncover known threat patterns within Azure Sentinel. Proactive hunting for this behavior is essential to validate the accuracy of low-severity alerts and ensure that subtle indicators of compromise are not overlooked before they escalate into larger incidents.

YARA Rule

rule hatman_origcode : hatman {
    meta:
        id = "75acf3a2-0e9b-5280-8830-211c0f46737f"
    strings:
        $ocode_be   = { 3c 00 00 03  60 00 a0 b0  7c 09 03 a6  4e 80 04 20 }
        $ocode_le   = { 03 00 00 3c  b0 a0 00 60  a6 03 09 7c  20 04 80 4e }
    condition:
        $ocode_be or $ocode_le
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 2 string patterns in its detection logic.

False Positive Guidance

Here are 3-5 specific false positive scenarios for the hatman_origcode detection rule, including suggested filters and exclusions tailored for an enterprise environment:

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