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LostDoor

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: 2026-07-13T23:00:01Z · Confidence: medium

Hunt Hypothesis

This detection identifies potential adversary reconnaissance or lateral movement activities characterized by specific file artifacts defined in the LostDoor YARA signature. Proactive hunting for this behavior in Azure Sentinel is essential to uncover stealthy threats that may evade standard alerting thresholds due to their low severity classification, ensuring early identification of compromised endpoints before escalation occurs.

YARA Rule

rule LostDoor : RAT
{
	meta:
		author = " Kevin Breen <kevin@techanarchy.net>"
		date = "2014/04"
		ref = "http://malwareconfig.com/stats/LostDoor"
		maltype = "Remote Access Trojan"
		filetype = "exe"
        
    strings:
    	$a0 = {0D 0A 2A 45 44 49 54 5F 53 45 52 56 45 52 2A 0D 0A}
        $a1 = "*mlt* = %"
        $a2 = "*ip* = %"
        $a3 = "*victimo* = %"
        $a4 = "*name* = %"
        $b5 = "[START]"
        $b6 = "[DATA]"
        $b7 = "We Control Your Digital World" wide ascii
        $b8 = "RC4Initialize" wide ascii
        $b9 = "RC4Decrypt" wide ascii
        
    condition:
    	all of ($a*) or all of ($b*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 10 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the LostDoor detection rule in an enterprise environment, including suggested filters and exclusions:

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