from androguard.core import androconf
from androguard.core.bytecodes import apk
from sklearn.externals import joblib
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import BernoulliNB
from sklearn.naive_bayes import GaussianNB
from sklearn.naive_bayes import MultinomialNB
from sklearn.svm import SVC
from detector.config import CLASSIFIER_PATH
from detector.config import TRAIN_PERMISSION
from detector.error import AdDetectorException
from detector.logger import AdDetectorLogger
from detector.ad.permission.base import BasePermission
logger = AdDetectorLogger()
class AdBasePredict(BasePermission):
predictor = None
def __init__(self):
super(AdBasePredict, self).__init__()
if self.predictor is None:
raise AdDetectorException('You must init an predictor'
' using an method！')
# init predictor
trained_permissions = self.session.query_sort(TRAIN_PERMISSION,
'create',
import json
import re
from datetime import datetime
from androguard.core import androconf
from androguard.core.bytecodes import apk
import numpy
from numpy import zeros
from sklearn.naive_bayes import *
from sklearn import svm
from sklearn.externals import joblib
from detector.config import *
from detector.db.session import MongDBSession
from detector.logger import AdDetectorLogger
logger = AdDetectorLogger()
def check_adware_from_config(real_filename, config=AD_FEATURE_FILE):
"""
Check app is adware from ad feature db.
:param apk: the path of checking app
:param config: adware feature db
:return: True or False
"""
ret_type = androconf.is_android(real_filename)
if ret_type == "APK":
logger.info(os.path.basename(real_filename) + ':')
try:
a = apk.APK(real_filename)
if a.is_valid_APK():
from androguard.core import androconf
from androguard.core.bytecodes import apk
from sklearn.externals import joblib
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import BernoulliNB
from sklearn.naive_bayes import GaussianNB
from sklearn.naive_bayes import MultinomialNB
from sklearn.svm import SVC
from detector.config import CLASSIFIER_PATH
from detector.config import TRAIN_PERMISSION
from detector.error import AdDetectorException
from detector.logger import AdDetectorLogger
from .base import BasePermission
logger = AdDetectorLogger()
class AdBasePredict(BasePermission):
predictor = None
def __init__(self):
super(AdBasePredict, self).__init__()
if self.predictor is None:
raise AdDetectorException('You must init an predictor'
' using an method！')
# init predictor
trained_permissions = self.session.query_sort(TRAIN_PERMISSION,
'create', limit=1)