my thoughts on stego and we have it all
>>2298508 (prev bread)
>You'd be amazed how much is shared on /pol/.
>Data exchange.
>https://guardianproject.info/apps/pixelknot/
>Q
Q referenced this android software that uses F5 algo
(some algos are better than f5 but maybe Q referenced it specifically for some reason)
however, we will need to run through many images so i found this js implementation
https://github.com/desudesutalk/f5stegojs
working on figuring out how to automate and run this software thorough all the Q photos
we need to come up with a brute force plan or at least a steg fingerprint detection method
im downloading all the pictures posted by Q to run them through steg detection
from here: https://irc.qclearancearchive.net/index.php?page=qposts
i found other steg software called SilentEye (win/mac/linux) and OpenPuff (win only?) but neither supports F5 algo as far as i can tell
Q says we have it all and we have more than we know - we have everything
i think this means that if we could detect steganography in mainstream use on facebook/twitter/insta/pol/etc we would already have all the evidence we need against the cabal
Q is spoonfeeding us and has posted quite a few cryptic strings which could all be passwords
if we throw those strings into a dictionary-file and proceed to brute/dictionary-attack the Q photos we may find something. furthermore if we run that same dictionary against public photos we may find something. Q may already have given us the password(s) we need, we just need to pair with the right photo(s)
given what we know about NSAs supercomputers they are probably already doing this on a massive scale but now they need a way to introduce the evidence
forget about brute force if anyone can figure out how to crack the algo directly, this article is above my head though: https://www.ws.binghamton.edu/fridrich/Research/f5.pdf
thank you for your time anons, if anyone has ideas please let me know
related:
https://embeddedsw.net/doc/Openpuff_lecture_Deep_neural_networks_for_social_stego.pdf
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