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Detects Shifu Banking Trojan

yara LOW Yara-Rules
backdoorcommunity
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: 2026-06-29T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets the specific execution patterns of the Shifu Banking Trojan to identify early-stage credential theft and financial data exfiltration within the environment. Proactively hunting for this low-severity threat in Azure Sentinel is critical because its subtle initial footprint often evades standard alerting, allowing adversaries to establish persistence before triggering high-priority security events.

YARA Rule

rule Shifu_Banking_Trojan_0 : banking {
	meta:
		description = "Detects Shifu Banking Trojan"
		author = "Florian Roth"
		reference = "https://securityintelligence.com/shifu-masterful-new-banking-trojan-is-attacking-14-japanese-banks/"
		date = "2015-09-01"
		hash1 = "4ff1ebea2096f318a2252ebe1726bcf3bbc295da9204b6c720b5bbf14de14bb2"
		hash2 = "4881c7d89c2b5e934d4741a653fbdaf87cc5e7571b68c723504069d519d8a737"
	strings:
		$x1 = "c:\\oil\\feet\\Seven\\Send\\Gather\\Dividerail.pdb" fullword ascii

		$s1 = "listen above" fullword wide
		$s2 = "familycould cost" fullword wide
		$s3 = "SetSystemTimeAdjustment" fullword ascii /* Goodware String - occured 33 times */
		$s4 = "PeekNamedPipe" fullword ascii /* Goodware String - occured 347 times */
	condition:
		uint16(0) == 0x5a4d and filesize < 1000KB and ($x1 or all of ($s*))
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 5 string patterns in its detection logic.

References

False Positive Guidance

Here are 4 specific false positive scenarios for the Detects Shifu Banking Trojan rule in an enterprise environment, including suggested filters and exclusions:

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