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DeltaCharlie

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 identifies adversary behavior characterized by specific file artifacts defined by the DeltaCharlie YARA signature, indicating potential early-stage reconnaissance or benign tool deployment within the environment. Proactively hunting for this pattern in Azure Sentinel allows the SOC team to validate low-severity signals against known baselines before they escalate into more complex incidents involving lateral movement or data exfiltration.

YARA Rule

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

	strings:
		$rsaKey = {7B 4E 1E A7 E9 3F 36 4C DE F4 F0 99 C4 D9 B7 94 A1 FF F2 97 D3 91 13 9D C0 12 02 E4 4C BB 6C 77 48 EE 6F 4B  73 D7 1A 44 13 B3 6A BB 61 44 AF 31 47 E7 87 C2 AE 7A A7 2C 3A D9 5C 2E 42 1A A6 78 FE 2C AD ED 39 3F FA D0 AD 3D D9 C5 3F 58 A0 19 27 CC 27 C9 E8 D8 1E 7E EE 91 DD 13 B3 47 EF 57 1A CA FF 9A 60 E0 64 08 AA E2 92 D0}
		           
	condition:
		any of them
}

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 DeltaCharlie detection rule in an enterprise environment, along with recommended filters and exclusions:

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