MalGraphIQ: A tool for generating behavior representations of malware execution traces

Raducu, Razvan (Universidad de Zaragoza) ; Rodríguez, Ricardo J. (Universidad de Zaragoza) ; Álvarez, Pedro (Universidad de Zaragoza)

Resumen: Understanding and interpreting malware behavior remains an open challenge in the field of cybersecurity. The dynamic analysis of malware execution traces has emerged as a promising approach for discovering behavioral insights that allow the visual explanation of malware activity. MalGraphIQ is an open-source tool for the analysis and visualization of malware behavior. It is based on a structured and hierarchical taxonomy of API-based behavior patterns, which facilitates the interpretation of malware objectives, strategies, and low-level interactions with the attacked system. These interpretations support the comparative analysis of collections of suspicious programs, particularly across malware families and types, enhancing security research, malware triage, and the development of behavior-aware detection systems.

Idioma: Inglés

DOI: 10.1016/j.softx.2025.102407

Año: 2025

Publicado en: SoftwareX 32 (2025), 102407 [7 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: Artículo (Versión definitiva)

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