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September 14, 2009
OPR, PIEPR, MPR, NPRW, POPR have been updated. |
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August 06, 2009
Passcape Internet Explorer Password Recovery has been updated. |
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May 28, 2009
Reset Windows Password is out. This is a program for resetting and recovering lost Windows passwords. |
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You are welcome to send your comments, questions and suggestions regarding our site or products. |
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Dictionary attack
In contrast with a brute-force attack, where all possibilities are searched through
exhaustively, a dictionary attack only tries possibilities which are most likely to succeed, typically derived from a
wordlist or a dictionary. Generally, dictionary attacks succeed because many people have a tendency to choose passwords
which are short, single words in a dictionary, or are simple variations that are easy to predict.

All dictionary attack options are conditionally split into three
groups:
Dictionary list
In the first group of options, you must set at least one dictionary for the
attack. If the dictionary was created with a DOS program, the option 'Dictionary
file in DOS encoding' must be selected when adding this dictionary to the
list. The program comes with a short English wordlist. For complete list of dictionaries, check out our
wordlist collection please. Or you can use our online dictionaries
as an alternative.
Password filter
To crop unnecessary passwords, you can use two simple filters. If you have
set at least one character in the first 'Include' filter, all passwords
that do not contain that character will be ignored (skipped) by the program. The
second 'Exclude' filter is totally opposite.
Password mutations
The last group of options manages mutations for each password to be
verified. You can set up to three mutation rules: Weak - less number of
mutations and, in its turn, greater verification speed; Strong - for
greater number of mutations, to the prejudice of the speed, and the happy
medium, Default option.
Dictionary attack fits perfectly for short and common passwords. To recover long passwords consisting of several
words, consider using phrase attack or combined
dictionary attack.
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