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A comment on NYT journalist hacked with Pegasus after reporting on previous hacking attempts. Parent comment

Re:NYT journalist hacked with Pegasus after reporting on pre... by generalizations on Sunday October 24, 2021 @06:02PM (#28982350)
Known font, known range of possible characters (almost certainly ascii), and probably several blurred characters in there that we know (like the t in attachment). If the blur is differentiable per-character, it's probably reversible.
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Re:NYT journalist hacked with Pegasus after reporting on pre... by warent on Sunday October 24, 2021 @07:52PM (#28983063)
Even without automation. Just make a list of blurred alphanumerics, then match every blurred character in the picture against the character list. with some patience probably doable in a single day
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Re:NYT journalist hacked with Pegasus after reporting on pre... by ansgri on Monday October 25, 2021 @07:50AM (#28986748)
That’s called generative recognition, and it’s the best way to do it (probably can be formally proved under some noise model assumptions) if you have a good model of the data and enough computational resources.
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Re:NYT journalist hacked with Pegasus after reporting on pre... by boppo1 on Thursday November 04, 2021 @10:27PM (#29114818)
What tools do people use for stuff like this? A python library? C++?
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Re:NYT journalist hacked with Pegasus after reporting on pre... by spicybright on Sunday October 24, 2021 @08:44PM (#28983371)
Probably the most time efficient way to do it tbh.
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