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refine_password.py
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refine_password.py
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import argparse
from fuzzywuzzy import fuzz
PENALTY_CONSTANT = 1.0 # Define the penalty constant here
CASE_SENSITIVITY_TRADEOFF = 0.6 # Define the trade-off ratio for case sensitivity here
def calculate_length_penalty(input_word, word):
length_penalty = abs(len(input_word) - len(word)) * PENALTY_CONSTANT
return length_penalty
def find_closest_words(input_word, word_list):
closest_words = []
max_ratio = 0
for word in word_list:
ratio = fuzz.ratio(input_word, word)
penalty = calculate_length_penalty(input_word, word)
adjusted_ratio = ratio - penalty
if input_word.lower() != word.lower():
adjusted_ratio *= CASE_SENSITIVITY_TRADEOFF
if adjusted_ratio >= max_ratio:
closest_words.append((word, adjusted_ratio))
closest_words = sorted(closest_words, key=lambda x: x[1], reverse=True)[:10]
max_ratio = closest_words[-1][1]
# Add lowercase version of word to the list
lower_word = word.lower()
lower_ratio = fuzz.ratio(input_word, lower_word)
lower_adjusted_ratio = lower_ratio - penalty
closest_words.append((lower_word, lower_adjusted_ratio))
closest_words = sorted(closest_words, key=lambda x: x[1], reverse=True)[:10]
closest_words = sorted(closest_words, key=lambda x: x[1], reverse=True)[:10]
return closest_words[:10]
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Find closest words in a word list.')
parser.add_argument('--input', help='Input word to find closest matches', required=True)
parser.add_argument('--wordlist', help='Text file with word list to search for closest words', required=True)
args = parser.parse_args()
with open(args.wordlist, 'r', encoding='latin-1') as file:
words = file.read().split()
closest_words = find_closest_words(args.input, words)
print('Possible passwords similar to {}:'.format(args.input))
for word, score in closest_words:
print(f'Password: {word}\tScore: {score}')