MALVADA: A framework for generating datasets of malware execution traces

Raducu, Razvan ; Villagrasa-Labrador, Alain ; Rodríguez, Ricardo J. (Universidad de Zaragoza) ; Álvarez, Pedro

Resumen: Malware attacks have been growing steadily in recent years, making more sophisticated detection methods necessary. These approaches typically rely on analyzing the behavior of malicious applications, for example by examining execution traces that capture their runtime behavior. However, many existing execution trace datasets are simplified, often resulting in the omission of relevant contextual information, which is essential to capture the full scope of a malware sample’s behavior. This paper introduces MALVADA, a flexible framework designed to generate extensive datasets of execution traces from Windows malware. These traces provide detailed insights into program behaviors and help malware analysts to classify a malware sample. MALVADA facilitates the creation of large datasets with minimal user effort, as demonstrated by the WinMET dataset, which includes execution traces from approximately 10,000 Windows malware samples.

Idioma: Inglés

DOI: 10.1016/j.softx.2025.102082

Año: 2025

Publicado en: SoftwareX 30 (2025), 102082 [6 pp.]
ISSN: 2352-7110

Financiación: info:eu-repo/grantAgreement/ES/DGA/T21-23R
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131115A-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)