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IndiaCharlie One

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: 2026-07-04T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection targets the specific execution patterns of the IndiaCharlie malware family to identify potential supply chain compromises or lateral movement within Azure Sentinel workloads. Proactively hunting for this low-severity indicator is critical because early identification of IndiaCharlie’s unique behavioral signatures allows the SOC team to validate its presence before it escalates into a more severe data exfiltration event.

YARA Rule

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

	strings:
		$ = "WMPNetworkSvcUpdate"
		$ = "backSched.dll"
		$ = "\\mspaint.exe"
		$aesKey = "X,LLIe{))%%l2i<[AM|aq!Ql/lPlw]d7@C-#j.<c|#*}Kx4_H(q^F-F^p/[t#%HT"
	condition:
		2 of them or $aesKey
}

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 5 specific false positive scenarios for the IndiaCharlie_One detection rule in an enterprise environment, along with recommended filters or exclusions:

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