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OSX/Leverage.A

yara LOW Yara-Rules
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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: 2026-06-28T11:00:00Z · Confidence: medium

Hunt Hypothesis

This detection targets the specific adversary behavior of OSX/Leverage.A, which involves malicious activity on macOS systems that may indicate early-stage compromise or reconnaissance efforts. Proactively hunting for this signal in Azure Sentinel is critical to identify potential lateral movement vectors and validate endpoint security configurations before low-severity indicators escalate into significant incidents.

Deployment Notes

This YARA rule can be deployed in the following contexts:

This rule contains 7 string patterns in its detection logic.

False Positive Guidance

Here are 4 specific false positive scenarios for the OSX/Leverage.A detection rule in an enterprise macOS environment, along with recommended filters and exclusions:

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