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suspicious embed

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: 2026-05-12T23:00:00Z · Confidence: medium

Hunt Hypothesis

The suspicious embed rule detects potential adversarial use of embedded content to exfiltrate data or execute malicious code through seemingly benign files. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate early-stage threats that may evade traditional detection methods.

YARA Rule

rule suspicious_embed : PDF raw
{
	meta:
		author = "Glenn Edwards (@hiddenillusion)"
		version = "0.1"
		ref = "https://feliam.wordpress.com/2010/01/13/generic-pdf-exploit-hider-embedpdf-py-and-goodbye-av-detection-012010/"
		weight = 2
		
	strings:
		$magic = { 25 50 44 46 }
		
		$meth0 = /\/Launch/
		$meth1 = /\/GoTo(E|R)/ //means go to embedded or remote
		$attrib0 = /\/URL /
		$attrib1 = /\/Action/
		$attrib2 = /\/Filespec/
		
	condition:
		$magic in (0..1024) and 1 of ($meth*) and 2 of ($attrib*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 6 string patterns in its detection logic.

False Positive Guidance

Original source: https://github.com/Yara-Rules/rules/blob/main/maldocs/Maldoc_PDF.yar