← Back to SOC feed Coverage →

PredatorPain

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: 2026-07-14T11:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis posits that adversaries are utilizing specific file execution patterns identified by the PredatorPain YARA signature to establish a foothold or execute initial reconnaissance within the environment. Proactive hunting for this behavior in Azure Sentinel is critical because its low severity classification suggests it may be overlooked by automated alerts, requiring manual correlation with other telemetry to confirm early-stage attack activity before escalation occurs.

YARA Rule

rule PredatorPain : RAT
{

	meta:
		author = " Kevin Breen <kevin@techanarchy.net>"
		date = "2014/04"
		ref = "http://malwareconfig.com/stats/PredatorPain"
		maltype = "Remote Access Trojan"
		filetype = "exe"

	strings:
		$string1 = "holderwb.txt" wide
		$string3 = "There is a file attached to this email" wide
		$string4 = "screens\\screenshot" wide
		$string5 = "Disablelogger" wide
		$string6 = "\\pidloc.txt" wide
        $string7 = "clearie" wide
        $string8 = "clearff" wide
        $string9 = "emails should be sent to you shortly" wide
        $string10 = "jagex_cache\\regPin" wide
        $string11 = "open=Sys.exe" wide
		$ver1 = "PredatorLogger" wide
		$ver2 = "EncryptedCredentials" wide
        $ver3 = "Predator Pain" wide

	condition:
		7 of ($string*) and any of ($ver*)
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 13 string patterns in its detection logic.

False Positive Guidance

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

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