Automated platform for mobile app traffic interception with Frida

Authors

  • Fabián A. Gibellini Universidad Tecnológica Nacional, Argentina
  • Leonardo R. Ciceri Universidad Tecnológica Nacional, Argentina
  • Juliana M. Notreni Universidad Tecnológica Nacional, Argentina
  • Germán N. Parisi Universidad Tecnológica Nacional, Argentina
  • Analía L. Ruhl Universidad Tecnológica Nacional, Argentina
  • Ninfa M. Zea Cardenas Universidad Tecnológica Nacional, Argentina
  • Marcelo J. Auquer Universidad Tecnológica Nacional, Argentina
  • Ileana M. Barrionuevo Universidad Tecnológica Nacional, Argentina
  • Federico Bertola Universidad Tecnológica Nacional, Argentina
  • Sergio R. Quinteros Universidad Tecnológica Nacional, Argentina
  • Ignacio J. Sanchez Balzaretti Universidad Tecnológica Nacional, Argentina

Keywords:

penetration tests, interceptions, Android, SSL pinning, dynamic instrumentation

Abstract

This paper introduces a unified tool that combines several manual and automated techniques to optimize the web traffic interception process in mobile applications. Although existing solutions allow for web traffic capture, many have limitations in terms of coverage and adaptability to different scenarios. The proposed tool expands these capabilities by integrating Frida and Objection, two technologies that facilitate the dynamic manipulation of objects and methods during application runtime, thus offering a more flexible and comprehensive approach to mobile traffic analysis.

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Published

2025-11-11

How to Cite

Gibellini, F. A., Ciceri, L. R., Notreni, J. M., Parisi, G. N., Ruhl, A. L., Zea Cardenas, N. M., Auquer, M. J., Barrionuevo, I. M., Bertola, F., Quinteros, S. R., & Sanchez Balzaretti, I. J. (2025). Automated platform for mobile app traffic interception with Frida. JAIIO, Jornadas Argentinas De Informática, 11(7), 57-61. https://revistas.unlp.edu.ar/JAIIO/article/view/20071