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submitted 1 month ago by yxc999@lemmy.ml to c/privacy@lemmy.ml
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[-] FauxLiving@lemmy.world 7 points 1 month ago

It's also possible to see what's on a monitor's display through processing the EM emissions called Van Eck phreaking.

There's an entire spectrum of similar attacks: https://en.wikipedia.org/wiki/Tempest_%28codename%29

I’ve heard you can use a chip bag to the same effect.

Anything light/thin enough to resonate at vocal frequencies that can reflect a laser (without altering polarization) will work.

I do remember an experiment, using a chip bag, where university researchers were able to extract audio from a video of a chip bag. I believe they were mapping the intensity of the various specular highlights on the bag and playing the audible frequencies. It was muddied and choppy but intelligible.

Even further, your location and time of recording can be roughly estimated based on audio recordings. It's called Electrical Network Frequency analysis. I forget the specifics, but it had something to do with the frequency change of the power grid (the hum of which can be picked up in some audio recordings, or inadvertently captured as noise from the audio equipment). They can take the recording, determine how the frequency shifted during the recording (corresponding to grid conditions at the time of recording) and compare them to historical data from various utility monitoring stations looking for matches. wiki: https://en.wikipedia.org/wiki/Electrical_network_frequency_analysis

[-] FineCoatMummy@sh.itjust.works 3 points 1 month ago

There’s an entire spectrum of similar attacks

I see what you did there.

[-] FauxLiving@lemmy.world 2 points 1 month ago

It's nice to find someone on the same wavelength :P

[-] FineCoatMummy@sh.itjust.works 2 points 1 month ago

I just hope this sort of post won't be happening with any frequency.

[-] FauxLiving@lemmy.world 2 points 1 month ago

I didn't realize this was such a polarizing topic, I'll have to reflect on that.

this post was submitted on 09 Sep 2026
917 points (98.9% liked)

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