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DIETv102bv110av120

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: 2026-08-23T23:00:00Z · Confidence: medium

Hunt Hypothesis

This hunt hypothesis targets adversaries leveraging specific file-based indicators defined by the DIETv102bv110av120 YARA rule to detect early-stage malware or suspicious artifacts within the environment. Proactive hunting for these signatures in Azure Sentinel is essential to identify low-severity anomalies that may represent initial footholds before they escalate into more severe incidents, ensuring comprehensive coverage of file integrity threats.

YARA Rule

rule DIETv102bv110av120
{
      meta:
		author="malware-lu"
strings:
		$a0 = { BE [2] BF [2] B9 [2] 3B FC 72 ?? B4 4C CD 21 FD F3 A5 FC }

condition:
		$a0 at pe.entry_point
}

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 5 specific false positive scenarios for the DIETv102bv110av120 detection rule, including suggested filters and exclusions:

Original source: https://github.com/Yara-Rules/rules/blob/main/packers/packer.yar