Active Members Fi8sVrs Posted December 29, 2017 Active Members Report Posted December 29, 2017 In 2015, artist Ai Weiwei was bugged in his home, presumably by government actors. This situation raised our awareness on the lack of research in our community about operating and detecting spying microphones. Our biggest concern was that most of the knowledge came from fictional movies. Therefore, we performed a deep study on the state-of-the-art of microphone bugs, their characteristics, features and pitfalls. It included real life experiments trying to bug ourselves and trying to detect the hidden mics. Given the lack of open detection tools, we developed a free software SDR-based program, called Salamandra, to detect and locate hidden microphones in a room. After more than 120 experiments we concluded that placing mics correctly and listening is not an easy task, but it has a huge payoff when it works. Also, most mics can be detected easily with the correct tools (with some exceptions on GSM mics). In our experiments the average time to locate the mics in a room was 15 minutes. Locating mics is the novel feature of Salamandra, which is released to the public with this work. We hope that our study raises awareness on the possibility of being bugged by a powerful actor and the countermeasure tools available for our protection. Video: https://media.ccc.de/v/34c3-8735-spy_vs_spy_a_modern_study_of_microphone_bugs_operation_and_detection#video&t=0 3 Quote
Gushterul Posted December 29, 2017 Report Posted December 29, 2017 Stii ca in ziua de azi astia pun laserul pe geamul tau din masina si asculta ce vorbesti in casa, nu?:) http://www.bestlasermicrophones.com/files/typeM-equalized.wav 2 Quote
Active Members Fi8sVrs Posted December 29, 2017 Author Active Members Report Posted December 29, 2017 (edited) 1 hour ago, Gushterul said: Stii ca in ziua de azi astia pun laserul pe geamul tau din masina si asculta ce vorbesti in casa, nu?:) http://www.bestlasermicrophones.com/files/typeM-equalized.wav da. Edited December 29, 2017 by OKQL Quote