Mejoras en extracción de URLs en smishing mediante text spotting
- Blanco Medina, Pablo 1
- Biswas, Rubel 1
- González Castro, Victor 1
- Alaiz Rodríguez, Rocío 1
- Fidalgo, Eduardo 1
- Alegre, Enrique 1
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1
Universidad de León
info
- Cruz Martín, Ana María (coord.)
- Arévalo Espejo, V. (coord.)
- Fernández Lozano, Juan Jesús (coord.)
ISSN: 3045-4093
Año de publicación: 2024
Número: 45
Tipo: Artículo
Resumen
Los Equipos de Respuesta ante Emergencias Informáticas (CERT) reciben comúnmente capturas de pantalla de Smishing, que tratan de suplantar a distintos tipos de organizaciones, con el objetivo de apropiarse de información personal de usuarios o malversar fondos de sus cuentas mediante enlaces maliciosos. Los CERTs buscan soluciones automatizadas que permitan recuperar URLs de capturas de pantalla. Para extraer texto pueden utilizarse métodos basados en el reconocimiento óptico de caracteres (OCR), pero su rendimiento es bajo debido a problemas como la baja calidad de la imagen o textos divididos en múltiples frases. Proponemos un proceso para la extracción de URL de Smishing basado en técnicas de Text Spotting, complementado con una reconstrucción de URL personalizada utilizando características resaltadas en la imagen. Aplicamos la metodología propuesta a un conjunto personalizado de 244 capturas y 262 URLs, obteniendo como resultado un aumento de la precisión de reconocimiento de 3,05% a 22,90%, tras lo cual puede continuarse procesando el texto extraído en Smishing.
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