def test_from_args(self):
fuzzer = Fuzzer(MockDevice(), u'mock-package1', u'mock-target3')
parser = Args.make_parser('description')
args = parser.parse_args(['1/3'])
corpus = Corpus.from_args(fuzzer, args)
self.assertTrue(os.path.exists(corpus.root))
tmp_dir = tempfile.mkdtemp()
try:
args = parser.parse_args(['1/3', '--staging', tmp_dir])
corpus = Corpus.from_args(fuzzer, args)
self.assertEqual(tmp_dir, corpus.root)
finally:
shutil.rmtree(tmp_dir)
def main():
parser = ArgParser('Lists corpus instances in CIPD for the named fuzzer')
args = parser.parse_args()
host = Host.from_build()
device = Device.from_args(host, args)
fuzzer = Fuzzer.from_args(device, args)
with Corpus.from_args(fuzzer, args) as corpus:
cipd = Cipd(corpus)
print(cipd.instances())
return 0
def pregenerate(self):
# overriding as we have to calculate stuff for all users
print "Generating global TFIDF data"
pbar = ProgressBar()
messages = self.threads.messages_by_from_user()
users = messages.keys()
self.counters = []
for user in pbar(users):
corpus = Corpus.from_messages(messages[user], self.cache)
corpus.process()
self.counters.append(corpus.counter())
def pregenerate(self):
# overriding as we have to calculate stuff for all users
print "Generating global TFIDF data"
pbar = ProgressBar()
messages = self.threads.messages_by_from_user()
users = messages.keys()
self.counters = []
for user in pbar(users):
corpus = Corpus.from_messages(messages[user], self.cache)
corpus.process()
self.counters.append(corpus.counter())
def test_pull(self):
mock = MockDevice()
fuzzer = Fuzzer(mock, u'mock-package1', u'mock-target3')
parser = Args.make_parser('description')
args = parser.parse_args(['1/3'])
corpus = Corpus.from_args(fuzzer, args)
corpus.pull()
self.assertIn(
' '.join(
mock.get_ssh_cmd([
'scp', '[::1]:' + fuzzer.data_path('corpus/*'), corpus.root
])), mock.host.history)
def generate_for_user(self, user):
corpus = Corpus.from_messages(self.threads.messages_including_from_user(user), self.cache)
corpus.process()
frequencies = corpus.frequencies(limit = self.WORD_LIMIT)
# this step is slow, so don't redo it if the file already exists and the hash of frequencies
# hasn't changed
filename = "%s/wordcloud_%s.png" % (self.PLOTS_DIR, self.slug(user))
freqs_hash = hashlib.md5(pickle.dumps(frequencies)).hexdigest()
cache_key = "wordcloudgenerator_%s" % filename
if not (os.path.exists(filename) and self.cache.get(cache_key) == freqs_hash):
self.cache.set(cache_key, freqs_hash)
WordCloudWrapper.save(frequencies, filename)
def test_push(self):
mock = MockDevice()
fuzzer = Fuzzer(mock, u'mock-package1', u'mock-target3')
parser = Args.make_parser('description')
args = parser.parse_args(['1/3'])
corpus = Corpus.from_args(fuzzer, args)
with tempfile.NamedTemporaryFile(dir=corpus.root) as f:
corpus.push()
self.assertIn(
' '.join(
mock.get_ssh_cmd([
'scp', f.name, '[::1]:' + fuzzer.data_path('corpus')
])), mock.host.history)
def generate_for_user(self, user):
corpus = Corpus.from_messages(
self.threads.messages_including_from_user(user), self.cache)
corpus.process()
frequencies = corpus.frequencies(limit=self.WORD_LIMIT)
# this step is slow, so don't redo it if the file already exists and the hash of frequencies
# hasn't changed
filename = "%s/wordcloud_%s.png" % (self.PLOTS_DIR, self.slug(user))
freqs_hash = hashlib.md5(pickle.dumps(frequencies)).hexdigest()
cache_key = "wordcloudgenerator_%s" % filename
if not (os.path.exists(filename)
and self.cache.get(cache_key) == freqs_hash):
self.cache.set(cache_key, freqs_hash)
WordCloudWrapper.save(frequencies, filename)
def main():
parser = ArgParser(
'Transfers a fuzzing corpus for a named fuzzer from a device to CIPD')
args = parser.parse_args()
host = Host.from_build()
device = Device.from_args(host, args)
fuzzer = Fuzzer.from_args(device, args)
if fuzzer.measure_corpus()[0] == 0:
print('Ignoring ' + str(fuzzer) + '; corpus is empty.')
return 0
with Corpus.from_args(fuzzer, args) as corpus:
corpus.pull()
cipd = Cipd(corpus)
if not args.no_cipd:
cipd.create()
return 0
def main():
parser = ArgParser(
'Starts the named fuzzer. Additional arguments are passed through.')
args, fuzzer_args = parser.parse_known_args()
host = Host.from_build()
device = Device.from_args(host, args)
fuzzer = Fuzzer.from_args(device, args)
if not args.monitor:
with Corpus.from_args(fuzzer, args) as corpus:
cipd = Cipd(corpus)
if not args.no_cipd:
cipd.install('latest')
corpus.push()
print(
'\n****************************************************************'
)
print(' Starting ' + str(fuzzer) + '.')
print(' Outputs will be written to:')
print(' ' + fuzzer.results())
if not args.foreground:
print(' You should be notified when the fuzzer stops.')
print(' To check its progress, use `fx fuzz check ' + str(fuzzer) +
'`.')
print(' To stop it manually, use `fx fuzz stop ' + str(fuzzer) +
'`.')
print(
'****************************************************************\n'
)
fuzzer.start(fuzzer_args)
if not args.foreground:
subprocess.Popen(['python', sys.argv[0], '--monitor', str(fuzzer)])
else:
fuzzer.monitor()
title = str(fuzzer) + ' has stopped.'
body = 'Output written to ' + fuzzer.results() + '.'
print(title)
print(body)
host.notify_user(title, body)
return 0
def main():
parser = ArgParser(
'Minimizes the current corpus for the named fuzzer. This should be ' +
'used after running the fuzzer for a while, or after incorporating a '
+ 'third-party corpus using \'fetch-corpus\'')
args, fuzzer_args = parser.parse_known_args()
host = Host.from_build()
device = Device.from_args(host, args)
fuzzer = Fuzzer.from_args(device, args)
with Corpus.from_args(fuzzer, args) as corpus:
cipd = Cipd(corpus)
if not args.no_cipd:
cipd.install('latest')
corpus.push()
if fuzzer.merge(fuzzer_args) == (0, 0):
print('Corpus for ' + str(fuzzer) + ' is empty.')
return 1
corpus.pull()
if not args.no_cipd:
cipd.create()
return 0
#------------------------------------------------------------------------------------------------------# # NLP Lab: Project # #------------------------------------------------------------------------------------------------------# # Students: # # 1. Ahmad Hakroosh - 203622612 # # 2. Rana Zaied - 201149762 # #------------------------------------------------------------------------------------------------------# # Haifa University # # Lecturer: Prof. Shuly Wintner # # Semester: 2nd 2018 # #------------------------------------------------------------------------------------------------------# #------------------------------------------------------------------------------------------------------# # Imports # #------------------------------------------------------------------------------------------------------# from lib.corpus import Corpus # Instantiate our corpus corpus = Corpus()
def __init__(self):
fuzzer = Fuzzer(MockDevice(), u'mock-package1', u'mock-target3')
self.versions = []
super(MockCipd, self).__init__(Corpus(fuzzer))
