--> NOTE that for hashes, the guess-no. is always 0, as no guessing-no. can eb determinded from the JtR '.pot' file
'output_file' # String: Path of the file to write the analysis results into
"""
import sys
import os
sys.path.insert(1, os.path.abspath("./"))
import operator
import math
from math import fmod
from pgf.initiation.confighelper import ConfigHelper
try:
# Initiate ConfigHelper instance
ch = ConfigHelper("./configfiles/run.ini")
alpha = ch.get_option("DEFAULT", "alpha") # value will already be return as float
probabilities = dict() # create dict to store the probabilities of the passwords
alpha_guesswork = 0.0 # return value to be calculated
u_alpha = 0.0 # helper
lambda_u_alpha = 0.0 # helper
# calc probabilities for all pws in the leak
# print "Calculating probabilities..."
for pw, occ_lu in pws_multi.iteritems():
probabilities[pw] = float(occ_lu["occ"]) / float(pw_counter)
# print "Sorting the passwords by their probabilities..."
# sort the probabilities-dict by value (ascending) and return list-type object
'cracked_pws' # Dict: {'password/hash':[guess-no. which cracked the pw]}
--> NOTE that for hashes, the guess-no. is always 0, as no guessing-no. can eb determinded from the JtR '.pot' file
'output_file' # String: Path of the file to write the analysis results into
'''
import sys
import os
sys.path.insert(1, os.path.abspath('./'))
import operator
import math
from math import fmod
from pgf.initiation.confighelper import ConfigHelper
try:
# Initiate ConfigHelper instance
ch = ConfigHelper('./configfiles/run.ini')
alpha = ch.get_option('DEFAULT', 'alpha') # value will already be return as float
probabilities = dict() # create dict to store the probabilities of the passwords
alpha_guesswork = 0.0 # return value to be calculated
u_alpha = 0.0 # helper
lambda_u_alpha = 0.0 # helper
# calc probabilities for all pws in the leak
# print "Calculating probabilities..."
for pw, occ_lu in pws_multi.iteritems():
probabilities[pw] = float(occ_lu['occ'])/float(pw_counter)
# print "Sorting the passwords by their probabilities..."
# sort the probabilities-dict by value (ascending) and return list-type object
Also, no method declarations etc. are needed.
Name your script with a leading '_' to make the analysis module skip it during executing the plugins. E.g, 'myfile.py' will be executed, '_myfile.py' won't.
'''
import sys
import os
sys.path.insert(1, os.path.abspath('./'))
# import the ConfigHelper to be able to read values from the run.ini
from pgf.initiation.confighelper import ConfigHelper
# [Do the necessary imports here...]
try:
# Initiate ConfigHelper instance
ch = ConfigHelper('./configfiles/run.ini')
'''
Samples:
- Get a value (TYPE CASTED!) from the 'run.ini': my_value = ch.get_option('DEFAULT', 'my_value')
- Get all (unique) passwords from the leak: for password in pws_multi.iterkeys(): [...]
- Get the occurence counter for a password: occurences = pws_multi[password]['occ']
- Get all cracked passwords: for password in cracked_pws.iterkeys(): [...]
'''
# [Do your calculations here...]
# Append lines to the output-list
output = list()
output.append("\n\n")
output.append(
"**** **** **** **** [TITLE OF THIS CALCULATION] **** **** **** ****\n"
def main():
''' Starts the Password Guessing Framework.
:requires: a configuration file named "run.ini" in the directory "[...]/Password Guessing Framework/configfiles/"
'''
runtimes = OrderedDict() # dict to store the runtimes of each job
start = timeit.default_timer()
# Initiate logger
logger = Logger()
logger.basicConfig('DEBUG') # set logger level to DEBUG
# Initiate ConfigHelper instance
ch = ConfigHelper('./configfiles/run.ini', logger=logger)
# parse jobs from 'run.ini'
job_queue = ch.parse_jobs()
job_counter = 0 # helper to get corrent job-object from json file at the end of each job run
# Clear 'PGF.log' file in te JtR directory to reset it
# The path of the logfile will be generated and stored while parsing the jobs thus the get
# it from the first job in the list
job_queue[0].clear_jtr_log()
# iterate through the job queue
while len(job_queue) > 0:
logger.debug("Remaining jobs: %2d\n\n" % len(job_queue))
job = job_queue.pop(0) # get first job in queue
job_start = timeit.default_timer()
logger.debug("Starting Job <%s>" % job.label)
# Clear 'PGF.pot' and 'PGF.rec' files in te JtR directory to reset hashing state for each job
job.clear_jtr_pot_rec()
# Preparation is called from the config helper
# Executor instance
executor = Executor(job)
executor.execute()
# Analysis is called from the executor as it is run as a subprocess!
# calc runtime of the current job
job_end = timeit.default_timer()
job_runtime = job_end - job_start
job_human_runtime = ("%2dd:%2dh:%2dm:%2ds" % ((job_runtime/86400),
(fmod(job_runtime,86400)/3600),
(fmod(job_runtime,3600)/60),
(fmod(job_runtime,60))
))
with open(job.output_file, 'a') as output_file: # write runtime of the current job the according outfile
output_file.write("\nRuntime: '%s': %s" % (job.label, job_human_runtime))
# job finished!
logger.debug("---------------- JOB <%s> DONE! --------------------------\n" % job.label)
logger.debug("Runtime: %28s: %s\n" % (job.label, job_human_runtime))
# add runtime to list of job-runtimes
runtimes[job.label] = job_human_runtime
# Write Runtime of curent job into jobs.json
with open('./results/jobs.json', 'r') as f:
json_obj = json.load(f)
json_obj['jobs'][job_counter]['runtime'] = job_human_runtime
with open('./results/jobs.json', 'w') as f:
f.write(json.dumps(json_obj, sort_keys=True, indent=4))
job_counter += 1
# **** **** WHILE LOOP ENDS HERE! **** ****
# calc runtime of PGF
end = timeit.default_timer()
runtime = end - start
human_runtime = ("%3dd:%2dh:%2dm:%2ds" % ((runtime/86400),
(fmod(runtime,86400)/3600),
(fmod(runtime,3600)/60),
(fmod(runtime,60))
))
logger.debug("---------------- ALL JOBS PROCESSED! --------------------------\n")
# Run the shell script processing the progress files
final_processing(logger, ch.get_option('DEFAULT', 'final_processing'))
# print summery of job runtimes
logger.debug("Job-Runtimes:")
for label, rt in runtimes.iteritems():
logger.debug("%37s: %s" % (label, rt))
logger.debug("Overall Runtime:%s%s\n" % (22*' ', human_runtime))
logger.debug("PGF closed.")
# backup all created files AT LAST STEP!
result_backup(ch.get_option('DEFAULT', 'backup_dir'), ch.get_timestamp_uuid())
def main():
''' Starts the Password Guessing Framework.
:requires: a configuration file named "run.ini" in the directory "[...]/Password Guessing Framework/configfiles/"
'''
runtimes = OrderedDict() # dict to store the runtimes of each job
start = timeit.default_timer()
# Initiate logger
logger = Logger()
logger.basicConfig('DEBUG') # set logger level to DEBUG
# Initiate ConfigHelper instance
ch = ConfigHelper('./configfiles/run.ini', logger=logger)
# parse jobs from 'run.ini'
job_queue = ch.parse_jobs()
job_counter = 0 # helper to get corrent job-object from json file at the end of each job run
# Clear 'PGF.log' file in te JtR directory to reset it
# The path of the logfile will be generated and stored while parsing the jobs thus the get
# it from the first job in the list
job_queue[0].clear_jtr_log()
# iterate through the job queue
while len(job_queue) > 0:
logger.debug("Remaining jobs: %2d\n\n" % len(job_queue))
job = job_queue.pop(0) # get first job in queue
job_start = timeit.default_timer()
logger.debug("Starting Job <%s>" % job.label)
# Clear 'PGF.pot' and 'PGF.rec' files in te JtR directory to reset hashing state for each job
job.clear_jtr_pot_rec()
# Preparation is called from the config helper
# Executor instance
executor = Executor(job)
executor.execute()
# Analysis is called from the executor as it is run as a subprocess!
# calc runtime of the current job
job_end = timeit.default_timer()
job_runtime = job_end - job_start
job_human_runtime = ("%2dd:%2dh:%2dm:%2ds" %
((job_runtime / 86400),
(fmod(job_runtime, 86400) / 3600),
(fmod(job_runtime, 3600) / 60),
(fmod(job_runtime, 60))))
with open(
job.output_file, 'a'
) as output_file: # write runtime of the current job the according outfile
output_file.write("\nRuntime: '%s': %s" %
(job.label, job_human_runtime))
# job finished!
logger.debug(
"---------------- JOB <%s> DONE! --------------------------\n" %
job.label)
logger.debug("Runtime: %28s: %s\n" % (job.label, job_human_runtime))
# add runtime to list of job-runtimes
runtimes[job.label] = job_human_runtime
# Write Runtime of curent job into jobs.json
with open('./results/jobs.json', 'r') as f:
json_obj = json.load(f)
json_obj['jobs'][job_counter]['runtime'] = job_human_runtime
with open('./results/jobs.json', 'w') as f:
f.write(json.dumps(json_obj, sort_keys=True, indent=4))
job_counter += 1
# **** **** WHILE LOOP ENDS HERE! **** ****
# calc runtime of PGF
end = timeit.default_timer()
runtime = end - start
human_runtime = ("%3dd:%2dh:%2dm:%2ds" %
((runtime / 86400), (fmod(runtime, 86400) / 3600),
(fmod(runtime, 3600) / 60), (fmod(runtime, 60))))
logger.debug(
"---------------- ALL JOBS PROCESSED! --------------------------\n")
# Run the shell script processing the progress files
final_processing(logger, ch.get_option('DEFAULT', 'final_processing'))
# print summery of job runtimes
logger.debug("Job-Runtimes:")
for label, rt in runtimes.iteritems():
logger.debug("%37s: %s" % (label, rt))
logger.debug("Overall Runtime:%s%s\n" % (22 * ' ', human_runtime))
logger.debug("PGF closed.")
# backup all created files AT LAST STEP!
result_backup(ch.get_option('DEFAULT', 'backup_dir'),
ch.get_timestamp_uuid())
