Breaking the Silk Road's Captcha
github.com
Breaking the Silk Road's Captcha
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Re: Breaking the Silk Road's Captcha
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#5One observation: training a neural net to classify segmented characters is probably overkill. The author observed that the font never changed, but never ended up exploiting this fact. After the very effective preprocessing, thresholding, etc the characters are almost identical to the 'average' representations the author generated!
I bet it would be enough simply to classify an unknown character by the letter that it shows highest correlation with.
Re: Breaking the Silk Road's Captcha
#6Silk Road used ReCaptcha long ago and it finished bad: http://krebsonsecurity.com/2014/09/dread-pirate-sunk-by-leak...
Re: Breaking the Silk Road's Captcha
#7I've created many similar programs to defeat captcha's. I would classify this as a medium severity bug, you would still need to brute force the passwords on a terribly slow and intermittent connection.
Re: Breaking the Silk Road's Captcha
#8Re: Breaking the Silk Road's Captcha
#9This a great writeup and super easy to follow along with. The figures are really nice! One observation: training a neural net to classify segmented characters is probably overkill. The author observed that the font never changed, but never ended up exploiting this fact. After the very effective preprocessing, thresholding, etc the characters are almost identical to the 'average' representations the author generated!…
Also, given the successful character extraction, and the knowledge that (1) the font doesn't change, and (2) they're just translated and rotated, I think performing those operations on the individual characters could've yielded a pretty perfect success. Simply try a whole bunch of shifts and rotations on a given character until it matches a reference, almost exactly.
Re: Breaking the Silk Road's Captcha
#10This a great writeup and super easy to follow along with. The figures are really nice! One observation: training a neural net to classify segmented characters is probably overkill. The author observed that the font never changed, but never ended up exploiting this fact. After the very effective preprocessing, thresholding, etc the characters are almost identical to the 'average' representations the author generated!…