Today we're excited to announce the release of new versions of aTV Flash (black) and Seas0nPass that allow for an untethered jailbreak of Apple TV 5.3 (ATV2 only). Big thanks goes out to @iH8sn0w, @winocm, and @SquiffyPwn for their help with the new version of Seas0nPass. Additionally, there has been some encouraging progress made on Apple TV 6.0+ thanks to our friends @evad3rs and @nitoTV, and we hope to have more news available soon.
HACK ATV Flash (black) Version 1.2 For Windows
also will this affect all preciously removable devices connected to my computer I.e will all flash drives plugged into my pc show up as local not removable if i delete all 5 windows drivers and replace with the new one?
As others hwve said this guide doesnt work. At least not anymore. In my case with windows 10 it says that it cant find a file. It does not specify what kind of file, but I noticed that the cfadisk.sys file fas an ascii path in it: D\programs\cfadisk\objfree\i386\cfadisk.pdb in one version and c:\winddk\fdrv\objfree_wiin7_amd64\amd64\cfadisk.pdb in another version. Is that the file Windows cant find? Who knows. Maybe this still works in windows 7 but not in windows 10.
So, how does it work then? I won't say it is simply a matter of hooking up an electro-optical sensor to a telescope and pointing it at a light bulb, but that's the meat and potatoes of the sub $1,000 (800) hardware hack at least. Fluctuations in air pressure on the surface of the hanging bulb are created by the sound of conversation, or music, and make a hanging bulb vibrate. An analog-to-digital converter makes the conversion from electrical to digital information. The researchers have developed an algorithm for the attack method, which they named Lamphone, that can "recover sound from the optical measurements obtained from the vibrations of a light bulb." This is done passively and without needing to be in the same room. When it comes to human speech, the researchers used Google Cloud Speech to transcribe the conversation, and the music was correctly identified using Shazam and SoundHound.
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