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Identify BlackWorm

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: 2026-06-13T11:00:00Z · Confidence: medium

Hunt Hypothesis

The hypothesis is that the detection rule identifies potential BlackWorm malware activity by monitoring for suspicious process creation or network behavior indicative of its known tactics. SOC teams should proactively hunt for this behavior in Azure Sentinel to detect and respond to potential BlackWorm infections early, especially in environments with unpatched systems or known vulnerabilities.

YARA Rule

rule BlackWorm
{

    meta:
        author = "Brian Wallace @botnet_hunter"
        author_email = "[email protected]"
        date = "2015-05-20"
        description = "Identify BlackWorm"

    strings:
        $str1 = "m_ComputerObjectProvider"
        $str2 = "MyWebServices"
        $str3 = "get_ExecutablePath"
        $str4 = "get_WebServices"
        $str5 = "My.WebServices"
        $str6 = "My.User"
        $str7 = "m_UserObjectProvider"
        $str8 = "DelegateCallback"
        $str9 = "TargetMethod"
        $str10 = "000004b0" wide
        $str11 = "Microsoft Corporation" wide

    condition:
        all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 11 string patterns in its detection logic.

False Positive Guidance

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