def __init__(self, args):
if match(r"^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$", args.db):
# the db is on device so we need to grab a local copy
scp = ScpClient(ip=args.db)
db_path = scp.select_and_fetch_db()
else:
db_path = args.db
self.analyzer = Analyzer(db_path, signature_list, args.group,
args.sub_group, args.list)
def __init__(self, args):
if match(r"^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$", args.db):
# the db is on device so we need to grab a local copy
scp = ScpClient(ip=args.db)
if args.delete:
scp.delete_remote_dbs()
exit(0)
else:
db_path = scp.select_and_fetch_db()
self.analyzer = Analyzer(db_path, signature_list, args.group,
args.sub_group, args.list)
else:
db_path = args.db
self.analyzer = Analyzer(db_path, signature_list, args.group,
args.sub_group, args.list)
class Introspy:
""" Sets up and initiates analysis """
def __init__(self, args):
if match(r"^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$", args.db):
# the db is on device so we need to grab a local copy
scp = ScpClient(ip=args.db)
if args.delete:
scp.delete_remote_dbs()
exit(0)
else:
db_path = scp.select_and_fetch_db()
self.analyzer = Analyzer(db_path, signature_list, args.group,
args.sub_group, args.list)
else:
db_path = args.db
self.analyzer = Analyzer(db_path, signature_list, args.group,
args.sub_group, args.list)
def print_results(self, outdir=None):
if outdir:
report = HTMLReport(self.analyzer)
report.write_to_directory(outdir)
else:
for (signature, matching_calls) in self.analyzer.get_findings():
if matching_calls:
print "# %s" % signature if isinstance(signature, str) else signature.description
for traced_call in matching_calls:
print " %s" % traced_call
def __init__(self, dic_path='..'):
self.Analysis = Analyzer()
self.dic_path = dic_path
self.DataVis = DataVis()
course_initialization = Course_Initialization()
course_initialization.set_course_data_path(self.dic_path)
def predict_by_decision_tree(self, x_data, y_data, test_size=0.10):
analysis = Analyzer()
x_train, x_test, y_train, y_test = analysis.Predictive_Analysis.split_training_and_testing(
x_data, y_data, test_size=test_size)
analysis.Predictive_Analysis.decision_tree(x_train, x_test, y_train,
y_test)
def predict_by_svm(self, x_data, y_data, test_size=0.10, kernel='linear'):
analysis = Analyzer()
x_train, x_test, y_train, y_test = analysis.Predictive_Analysis.split_training_and_testing(
x_data, y_data, test_size=test_size)
analysis.Predictive_Analysis.svm(x_train,
x_test,
y_train,
y_test,
kernel=kernel)
def predict_by_random_forest(self,
x_data,
y_data,
test_size=0.10,
tree_amount=10,
max_depth=2,
random_state=0):
analysis = Analyzer()
x_train, x_test, y_train, y_test = analysis.Predictive_Analysis.split_training_and_testing(
x_data, y_data, test_size=test_size)
analysis.Predictive_Analysis.random_forest(x_train,
x_test,
y_train,
y_test,
tree_amount=tree_amount,
max_depth=max_depth,
random_state=random_state)
class Introspy:
""" Sets up and initiates analysis """
def __init__(self, args):
if match(r"^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$", args.db):
# the db is on device so we need to grab a local copy
scp = ScpClient(ip=args.db)
db_path = scp.select_and_fetch_db()
else:
db_path = args.db
self.analyzer = Analyzer(db_path, signature_list, args.group,
args.sub_group, args.list)
def print_results(self, outdir=None):
if outdir:
report = HTMLReport(self.analyzer)
report.write_to_directory(outdir)
else:
for (signature, matching_calls) in self.analyzer.get_findings():
if matching_calls:
print "# %s" % signature if isinstance(signature, str) else signature.description
for traced_call in matching_calls:
print " %s" % traced_call
def __init__(self):
self.analyzer = Analyzer()
def getAnalyzer(self):
analyzer = Analyzer()
return analyzer
