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Study Reveals That Laptop Microphones and Speakers Can Leak Audio Through Radio Signals, Even With Common Apps and Inactive Microphone.
A new study conducted by researchers at the University of Florida and the University of Electro-Communications of Japan revealed a flaw in modern digital microphones.
According to scientists, these microphones, common in laptops and speakers, can leak audio through electromagnetic signals, even without physical access to the device or the use of malware.
This vulnerability could affect billions of devices worldwide, exposing private conversations to corporate espionage and government surveillance.
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How Audio Leakage Works
Modern devices use MEMS (Micro-Electro-Mechanical Systems) microphones, which are responsible for picking up sound and converting it into digital pulses.
These pulses retain traces of the original speech and generate extremely weak radio emissions. However, these transmissions can be captured with a simple FM radio receiver and a copper antenna.
“With an FM radio receiver and a copper antenna, you can eavesdrop on these microphones. It’s that easy“, stated Sara Rampazzi, a computer science professor at the University of Florida and co-author of the study. According to her, the necessary equipment costs about a hundred dollars, or even less.
The Experiment and Results
To demonstrate the vulnerability, researchers used standard phrases such as “The birch canoe slid on the smooth planks” and “Glue the leaf on the dark blue background“.
These phrases were captured by radio even through concrete walls with a thickness of 25 centimeters.
Laptops were found to be the most vulnerable. This is because the microphones in these devices are connected by long internal wires, which act as improvised antennas, amplifying the leaked signals.
The most concerning aspect is that the microphone doesn’t even need to be active to emit these signals. Just having apps like Spotify, Amazon Music, or Google Drive installed may be enough to generate the leakage.
Using Artificial Intelligence for Decoding
The team went beyond signal interception. They used speech-to-text conversion tools powered by artificial intelligence from OpenAI and Microsoft.
As a result, they were able to turn the intercepted audio into clear text.
The attack achieved an accuracy rate of 94.2% for spoken digits up to two meters away, even with concrete obstacles. The overall error rate was 14%, which allowed for understanding most conversations.
Proposals to Address the Issue
The researchers proposed ways to mitigate the risks. One solution is to modify the design of devices, moving the microphones away from internal cables and adjusting the audio processing system.
Another more robust approach involves inserting white noise into the digital signals, scrambling the emissions and making it more difficult for third parties to reconstruct the audio.
However, for now, the only real defense lies in raising user awareness.
Manufacturers Are Warned
The researchers shared the results with manufacturers of the affected devices. Some companies expressed concern.
Others, however, downplayed the issue, claiming that their products comply with current regulatory standards and norms.
It is still unclear whether this reaction stems from real confidence in the safety of the equipment or merely a lack of urgency in facing the threat.
The study points to an uncomfortable reality: the possibility that our conversations are no longer safe, even inside our homes or workplaces.
With simple and discreet equipment, it is possible to listen to voices through walls, without anyone noticing. What was once considered impossible is now technically feasible — and that changes everything.
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