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IndiaHotel

yara LOW Yara-Rules
community
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: 2026-07-04T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection targets the specific malware signature of IndiaHotel to identify potential supply chain compromises or targeted attacks against hospitality infrastructure within the Azure environment. Proactive hunting for this indicator is essential to validate its presence across tenant workloads and ensure early containment before it escalates into a broader lateral movement incident.

YARA Rule

rule IndiaHotel
{
	meta:
		copyright = "2015 Novetta Solutions"
		author = "Novetta Threat Research & Interdiction Group - trig@novetta.com"
		Source = "8a4fc5007faf85e07710dca705108df9fd6252fe3d57dfade314120d72f6d83f"

	strings:
	/*
		6A 0A              push    0Ah             ; int
		8D 85 C4 E4 FF FF  lea     eax, [ebp+Source]
		68 10 02 00 00     push    210h            ; unsigned int
		50                 push    eax             ; void *
		E8 FA 60 00 00     call    ??_L@YGXPAXIHP6EX0@Z1@Z; `eh vector constructor iterator'(void *,uint,int,void (*)(void *),void (*)(void *))
	*/

	$fileExtractorArraySetup = {6A 0A 8D [5-6] 68 10 02 00 00 50 E8}

	condition:
		$fileExtractorArraySetup in ((pe.sections[pe.section_index(".text")].raw_data_offset)..(pe.sections[pe.section_index(".text")].raw_data_offset + pe.sections[pe.section_index(".text")].raw_data_size))
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 1 string patterns in its detection logic.

False Positive Guidance

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

Original source: https://github.com/Yara-Rules/rules/blob/main/malware/Operation_Blockbuster/IndiaHotel.yara