Analyzing the Patterns of Numbers in 10M Passwords (2015)
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Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#22[0] http://www.flong.com/projects/slon/ [1] https://www.flickr.com/photos/golanlevin/sets/72157594388612...
Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#23Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#24Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#25Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#26[1] http://islam.stackexchange.com/questions/799/what-does-786-m...
Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#27"Analyzing the Patterns of Numbers in 10 Million passwords that were not randomly selected from an unknown number of accounts"
One of the first cracking rules in john is append a "1" to dictionary word. "123" is one of the few multidigit strings that john appends in the default ruleset. Furthermore the first 5 million passwords were used to generate a character frequency database for cracking the second 5 million.
Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#28The problem with this type of analysis is that it treats the 10million passwords as if they are representative of all passwords. A more descriptive title would be: "Analyzing the Patterns of Numbers in 10 Million passwords that were not randomly selected from an unknown number of accounts" One of the first cracking rules in john is append a "1" to dictionary word. "123" is one of the few multidigit strings that john…
Re: Analyzing the Patterns of Numbers in 10M Passwords (2015)
#29The problem with this type of analysis is that it treats the 10million passwords as if they are representative of all passwords. A more descriptive title would be: "Analyzing the Patterns of Numbers in 10 Million passwords that were not randomly selected from an unknown number of accounts" One of the first cracking rules in john is append a "1" to dictionary word. "123" is one of the few multidigit strings that john…
The 10M dump was collected from a wide variety of sources to avoid sampling bias.
The reason I ask is that the dataset you analyzed does not make this claim:
"Now not all of these passwords are plaintext. Many dumps include passwords in a hashed format that requires you to crack them yourself." https://xato.net/a-glimpse-into-the-world-of-internet-passwo...