awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoServidor MCPAcerca deCómo clasificamosPrensa
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

1 repositorio

Awesome GitHub RepositoriesSample Classification

The process of assigning malware samples to known families based on identified patterns.

Distinct from Malware Detection Rules: Focuses on the classification result (family identification) rather than just the rules used for detection.

Explore 1 awesome GitHub repository matching part of an awesome list · Sample Classification. Refine with filters or upvote what's useful.

Awesome Sample Classification GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • virustotal/yaraAvatar de VirusTotal

    VirusTotal/yara

    9,420Ver en GitHub↗

    YARA is a pattern matching engine and binary analysis tool used to identify and classify malware samples. It functions as a malware research framework that allows for the definition of file descriptions and detection rules to find indicators of compromise within binaries. The system enables the creation of custom detection rules using strings, wildcards, and regular expressions. These rules use boolean logic to match textual or binary patterns, allowing for the classification of files into specific malware families and the automation of threat intelligence. The engine utilizes Aho-Corasick s

    Identifies known malware families by matching files against specific textual and binary patterns.

    Cyara
    Ver en GitHub↗9,420
  1. Home
  2. Part of an Awesome List
  3. Security & Privacy
  4. Malware Detection Rules
  5. Sample Classification