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TrumpBot

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: 2026-06-30T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hypothesis posits that adversaries are deploying automated bot infrastructure to simulate legitimate user activity and obscure malicious reconnaissance within the Azure environment. Proactive hunting for these patterns is essential to distinguish between benign automation and sophisticated threat actors attempting to evade standard signature-based detections by mimicking normal operational noise.

YARA Rule

rule TrumpBot : MALW
{
	meta:
		description = "TrumpBot"
		author = "Joan Soriano / @joanbtl"
		date = "2017-04-16"
		version = "1.0"
		MD5 = "77122e0e6fcf18df9572d80c4eedd88d"
		SHA1 = "108ee460d4c11ea373b7bba92086dd8023c0654f"

	strings:
		$string = "trumpisdaddy"
		$ip = "198.50.154.188"
	condition:
		 all of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 2 string patterns in its detection logic.

False Positive Guidance

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

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