Surely you have heard or read about Pegasus in the last few days. This malware has been developed by the NSO Group and sold, in theory, only to governments. It has been used to tap around 50,000 phone numbers from around 50 countries.

How does Pegasus work?

Pegasus is a spyware, an espionage software, which is installed without the user’s knowledge; it is not necessary to open an attachment or provide account information for it to be installed. It intrudes Android, iPhone or BlackBerry phones and remains fully invisible to the user. Once installed, it is able to access all the user’s data, as well as activate the camera or microphone, geolocation and “read” the content of supposedly encrypted messaging services such as Telegram or WhatsApp.

Although according to NSO, this system is not intended for mass espionage, but for the fight against terrorism, it seems that some governments have gone too far or that the company does not control its sale. Amnesty International and Forbidden Stories have received access to 50,000 phone numbers from 50 different countries, subject to potential espionage. These countries include India, France, Hungary, Mexico and Morocco.

We will analyze this topic in detail as part of the upcoming modules of the C1b3rwall Academy 2021/2022 that will start next September.

Fortunately, we already have some tools at our disposal that can be used to analyze whether our mobile phones have been attacked and/or spied on, tools that AIR Institute and BISITE are already experimenting with in order to improve the defense systems of our mobile phones and infrastructures.

Prevention and security have never been as important as they are today. If you would like to know if you have been a victim of a mobile phone tapping, you can contact us and we will help you solve it.

If you have doubts and want us to tell you if your mobile has been hacked, do not hesitate to contact us, at BISITE and the AIR Institute we have a team specialized in forensic analysis on mobile devices.


AIR Institute:

This article has been published in the newspaper El Mundo in the Innovators section.

Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.