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WinZipSelfExtractor22personaleditionWinZipComputing

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: 2026-08-14T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection identifies the execution of a specific personal edition self-extractor from WinZip Computing, which adversaries often leverage to stage and deliver secondary payloads during initial access or lateral movement phases. Proactively hunting for this behavior in Azure Sentinel is essential because low-severity detections of legitimate tools can mask malicious activity where attackers abuse trusted software to bypass security controls and establish persistence.

YARA Rule

rule WinZipSelfExtractor22personaleditionWinZipComputing
{
      meta:
		author="malware-lu"
strings:
		$a0 = { 53 FF 15 58 70 40 00 B3 22 38 18 74 03 80 C3 FE 40 33 D2 8A 08 3A CA 74 10 3A CB 74 07 40 8A 08 3A CA 75 F5 38 10 74 01 40 52 50 52 52 FF 15 5C 70 40 00 50 E8 15 FB FF FF 50 FF 15 8C 70 40 00 5B }

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 WinZipSelfExtractor22personaleditionWinZipComputing detection rule, including recommended filters and exclusions:

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