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SafeNet code features

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: 2026-06-29T11:00:01Z · Confidence: medium

Hunt Hypothesis

This detection rule identifies specific SafeNet code execution patterns that may indicate legitimate cryptographic operations or subtle anomalies within the software supply chain. Proactively hunting for these features in Azure Sentinel allows the SOC team to establish a behavioral baseline and distinguish between normal SafeNet activity and potential early-stage compromise attempts before they escalate into critical incidents.

YARA Rule

rule SafeNetCode : SafeNet Family 
{
    meta:
        description = "SafeNet code features"
        author = "Seth Hardy"
        last_modified = "2014-07-16"
        
    strings:
        // add edi, 14h; cmp edi, 50D0F8h
        $ = { 83 C7 14 81 FF F8 D0 40 00 }
    condition:
        any of them
}

Deployment Notes

This YARA rule can be deployed in the following contexts:

False Positive Guidance

Here are 4 specific false positive scenarios for the SafeNet Code Features detection rule in an enterprise environment, along with targeted filtering strategies:

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