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fe439af268cd3de3a99c21ea40cf493f, d0e0e68a88dce443b24453cc951cf55f, b563af92f144dea7327c9597d9de574e, and def0c9a4c732c3

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: 2026-05-27T23:00:00Z · Confidence: medium

Hunt Hypothesis

The detection rule identifies potential lateral movement or unauthorized access attempts through unusual network traffic patterns and suspicious process creation activities. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate early-stage adversary activity that may evade traditional detection methods.

YARA Rule

rule rtf_Kaba_jDoe
{

meta:
    author = "@patrickrolsen"
    maltype = "APT.Kaba"
    filetype = "RTF"
    version = "0.1"
    description = "fe439af268cd3de3a99c21ea40cf493f, d0e0e68a88dce443b24453cc951cf55f, b563af92f144dea7327c9597d9de574e, and def0c9a4c732c3a1e8910db3f9451620"
    date = "2013-12-10"

strings:
    $magic1 = { 7b 5c 72 74 30 31 } // {\rt01
    $magic2 = { 7b 5c 72 74 66 31 } // {\rtf1
    $magic3 = { 7b 5c 72 74 78 61 33 } // {\rtxa3
    $author1 = { 4A 6F 68 6E 20 44 6F 65 } // "John Doe"
    $author2 = { 61 75 74 68 6f 72 20 53 74 6f 6e 65 } // "author Stone"
    $string1 = { 44 30 [16] 43 46 [23] 31 31 45 }

condition:
    ($magic1 or $magic2 or $magic3 at 0) and all of ($author*) and $string1
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 6 string patterns in its detection logic.

False Positive Guidance

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