How about US Census Bureau as bruteforce dictionary ?

I bet you never knew that one reliable resource of dictionary based password attacks is the US Census bureau.  🙂

http://www.census.gov/genealogy/names/names_files.html

For example, below are 3 lists of the most common names registered in US :

First ten last names entries
name freq cum.freq rank
SMITH 1.006 1.006 1
JOHNSON 0.810 1.816 2
WILLIAMS 0.699 2.515 3
JONES 0.621 3.136 4
BROWN 0.621 3.757 5
DAVIS 0.480 4.237 6
MILLER 0.424 4.660 7
WILSON 0.339 5.000 8
MOORE 0.312 5.312 9
TAYLOR 0.311 5.623 10
First ten female entries 
name freq cum.freq rank
MARY 2.629 2.629 1
PATRICIA 1.073 3.702 2
LINDA 1.035 4.736 3
BARBARA 0.980 5.716 4
ELIZABETH 0.937 6.653 5
JENNIFER 0.932 7.586 6
MARIA 0.828 8.414 7
SUSAN 0.794 9.209 8
MARGARET 0.768 9.976 9
DOROTHY 0.727 10.703 10
First ten Male entries 
name freq cum.freq rank
JAMES 3.318 3.318 1
JOHN 3.271 6.589 2
ROBERT 3.143 9.732 3
MICHAEL 2.629 12.361 4
WILLIAM 2.451 14.812 5
DAVID 2.363 17.176 6
RICHARD 1.703 18.878 7
CHARLES 1.523 20.401 8
JOSEPH 1.404 21.805 9
THOMAS 1.380 23.185 10

so, how high is your name on the list ? 🙂



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