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LuaBot

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: 2026-06-19T23:00:00Z · Confidence: medium

Hunt Hypothesis

The LuaBot rule detects potential adversary behavior involving the use of Lua scripts to execute arbitrary code within a compromised environment. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate early-stage persistence or exfiltration activities that may evade traditional detection methods.

YARA Rule

rule LuaBot : MALW
{
        meta:
                description = "LuaBot"
                author = "Joan Soriano / @joanbtl"
                date = "2017-06-07"
                version = "1.0"
                MD5 = "9df3372f058874fa964548cbb74c74bf"
                SHA1 = "89226865501ee7d399354656d870b4a9c02db1d3"
                ref1 = "http://blog.malwaremustdie.org/2016/09/mmd-0057-2016-new-elf-botnet-linuxluabot.html"

        strings:
                $a = "LUA_PATH"
                $b = "Hi. Happy reversing, you can mail me: [email protected]"
                $c = "/tmp/lua_XXXXXX"
                $d = "NOTIFY"
                $e = "UPDATE"

        condition:
                all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 5 string patterns in its detection logic.

False Positive Guidance

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