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Hmmmm, i'll definitely consider doing this, I was already planning to do substring analysis on the passwords. Might as well do it like that to see if leak source has significant impact on the result :)
I'll keep you updated once i finally have a chance to do it :)
It would be very useful to have a list that showed the top words that are A) very common to a leak, and B) very uncommon in other leaks.
The most obvious entries would look redundant:
linkedin|linkedin
chegg|chegg
... etc., but there are less-obvious ones likely hiding in the data that you are very well-positioned to analyze.
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