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<title>Cyber Security - Academic Torrents</title>
<description>collection curated by labradorium</description>
<link>https://academictorrents.com/collection/cyber-security</link>
<item>
<title>Facebook Names Dataset (Dataset)</title>
<description>@article{,
title= {Facebook Names Dataset},
keywords= {},
journal= {},
author= {Ron Bowes (Skull Security)},
year= {2010},
url= {https://blog.skullsecurity.org/2010/return-of-the-facebook-snatchers},
license= {},
abstract= {171 million names (100 million unique)

This torrent contains:

The URL of every searchable Facebook user's profile
The name of every searchable Facebook user, both unique and by count (perfect for post-processing, datamining, etc)
Processed lists, including first names with count, last names with count, potential usernames with count, etc
The programs I used to generate everything
So, there you have it: lots of awesome data from Facebook. Now, I just have to find one more problem with Facebook so I can write "Revenge of the Facebook Snatchers" and complete the trilogy. Any suggestions? &gt;:-)

Limitations
So far, I have only indexed the searchable users, not their friends. Getting their friends will be significantly more data to process, and I don't have those capabilities right now. I'd like to tackle that in the future, though, so if anybody has any bandwidth they'd like to donate, all I need is an ssh account and Nmap installed.

An additional limitation is that these are only users whose first characters are from the latin charset. I plan to add non-Latin names in future releases.},
tos= {},
superseded= {},
terms= {}
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</description>
<link>https://academictorrents.com/download/e54c73099d291605e7579b90838c2cd86a8e9575</link>
</item>
<item>
<title>CrackStation's Password Cracking Dictionary (Human Passwords Only) (Dataset)</title>
<description>@article{,
title= {CrackStation's Password Cracking Dictionary (Human Passwords Only)},
journal= {},
author= {Defuse Security},
year= {},
url= {https://crackstation.net/buy-crackstation-wordlist-password-cracking-dictionary.htm},
license= {Creative Commons Attribution-ShareAlike 3.0},
abstract= {The list contains every wordlist, dictionary, and password database leak that I could find on the internet (and I spent a LOT of time looking). It also contains every word in the Wikipedia databases (pages-articles, retrieved 2010, all languages) as well as lots of books from Project Gutenberg. It also includes the passwords from some low-profile database breaches that were being sold in the underground years ago.

The format of the list is a standard text file sorted in non-case-sensitive alphabetical order. Lines are separated with a newline "\n" character.

You can test the list without downloading it by giving SHA256 hashes to the free hash cracker or to @PlzCrack on twitter. Here's a tool for computing hashes easily. Here are the results of cracking LinkedIn's and eHarmony's password hash leaks with the list.

The list is responsible for cracking about 30% of all hashes given to CrackStation's free hash cracker, but that figure should be taken with a grain of salt because some people try hashes of really weak passwords just to test the service, and others try to crack their hashes with other online hash crackers before finding CrackStation. Using the list, we were able to crack 49.98% of one customer's set of 373,000 human password hashes to motivate their move to a better salting scheme.},
keywords= {},
terms= {},
superseded= {}
}

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<link>https://academictorrents.com/download/7ae809ccd7f0778328ab4b357e777040248b8c7f</link>
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