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main.py
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import PySimpleGUI as sg
import predict_api
import predict_traffic
import numpy as np
import os
import hashlib
import _thread
from cuckoo_report_analyzer.move_report import move_1
from cuckoo_report_analyzer.split_reports import split_1
# sg.theme('Reddit') # Add a touch of color
sg.theme('Material1')
def file_hash(file_path: str, hash_method) -> str:
if not os.path.isfile(file_path):
print('文件不存在')
return ''
h = hash_method()
with open(file_path, 'rb') as f:
while True:
b = f.read(8192)
if not b:
break
h.update(b)
return h.hexdigest()
def get_hash(json_path: str) -> str:
return file_hash(json_path, hashlib.sha256)
def cuckoo_run(file_path):
cmd_submit = 'cuckoo submit ' + file_path
os.popen(cmd_submit)
report_path = ''
while not os.path.isfile(report_path):
continue
print('---report has been made---')
move_1()
split_1()
def draw_window() -> sg.Window:
BORDER_COLOR = '#C7D5E0'
DARK_HEADER_COLOR = 'white'
BPAD_TOP = ((20, 20), (20, 10))
BPAD_LEFT = ((20, 10), (0, 10))
BPAD_LEFT_INSIDE = (0, 10)
BPAD_RIGHT = ((10, 20), (10, 20))
top_banner = [[sg.Text('恶意代码检测', font='Any 20', background_color=DARK_HEADER_COLOR)]]
bottom_banner = [[sg.Text('日志文件：/xx/yy.csv', background_color=DARK_HEADER_COLOR)]]
top = [[sg.Text('请输入被检测文件名（e.g. xx.exe)', size=(50, 1), justification='c', pad=BPAD_TOP, font='Any 20')],
[sg.Text('file name: '), sg.InputText(key='file_name')]]
block_2 = [[sg.Text('动态获取运行报告', font='Any 20')],
[sg.T('')],
[sg.T('请输入被检测文件路径,生成报告时长预计1min')],
[sg.Text('file path: '),
sg.InputText(key='file_path'),
sg.FileBrowse(key='file_path_browse', target='file_path', file_types=(("exe files", "*.exe"),))],
[sg.Text('json file path: ')],
[sg.Text(key='json_file_path')],
[sg.Button('show json file path'), sg.Button('refresh_file'), sg.Button('submit_to_model')]]
block_3 = [[sg.Text('基于API调用序列，文件被判定为：', font='Any 20')],
[sg.Text(' ' * 5), sg.Text(key='api_result', font='Any 15')]]
# 流量处理的部分，后续添加，目前只实现直接对流量图片分类
# block_4 = [[sg.Text('流量处理&检测', font='Any 20')],
# [sg.T('')],
# [sg.T('请输入被检测流量文件路径')],
# [sg.Text('traffic file path: '), sg.InputText(key='traffic_path')],
# [sg.Button('submit_traffic'), sg.Button('Refresh_2')],
# [sg.Image(key='traffic_pic')],
# [sg.Text('基于会话流量，文件被判定为：', font='Any 20')],
# [sg.Text('BENIGN', key='traffic_result', font='Any 15')],
# ]
block_4 = [[sg.Text('流量处理&检测', font='Any 20')],
[sg.T('')],
[sg.T('请输入被检测流量文件路径')],
[sg.Text('traffic file path: '), sg.InputText(key='traffic_file_path')],
[sg.FileBrowse(key='traffic_browse', target='traffic_file_path', file_types=(("png files", "*.png"),)),
sg.Button('submit_traffic'), sg.Button('refresh_pic')],
[sg.Image(key='traffic_pic')],
[sg.Text('基于会话流量，文件被判定为：', font='Any 20')],
[sg.Text(' ' * 5), sg.Text(key='traffic_result', font='Any 15')],
]
layout = [
# [sg.Column(top_banner, size=(960, 40), pad=(0, 0), background_color=DARK_HEADER_COLOR)],
[sg.Column(top, size=(920, 90), pad=BPAD_TOP)],
[sg.Column([[sg.Column(block_2, size=(450, 210), pad=BPAD_LEFT_INSIDE)],
[sg.Column(block_3, size=(450, 90), pad=BPAD_LEFT_INSIDE)]], pad=BPAD_LEFT,
background_color=BORDER_COLOR),
sg.Column(block_4, size=(450, 320), pad=BPAD_RIGHT)
],
[sg.Column(bottom_banner, size=(960, 30), pad=(0, 0), background_color=DARK_HEADER_COLOR)]
]
window = sg.Window('malware detection based on dynamic features', layout, margins=(0, 0),
background_color=BORDER_COLOR,
no_titlebar=False, grab_anywhere=True)
return window
if __name__ == "__main__":
my_window = draw_window()
file_name = ''
json_file_path = ''
traffic_pic_path = ''
while True: # Event Loop
event, values = my_window.read()
if event == sg.WIN_CLOSED or event == 'Exit':
break
if event == 'show json file path':
file_name = values['file_name']
# terminal commands, need value['file_path']
json_file_path = 'D:\\VMShare\\cuckoo_report_analyzer-master\\storage\\' + file_name + '\\processes.json'
my_window['json_file_path'].update(json_file_path)
# _thread.start_new_thread(cuckoo_run())
if event == 'refresh_file':
file_name = values['file_name']
json_file_path = 'D:\\VMShare\\cuckoo_report_analyzer-master\\storage\\' + file_name + '\\processes.json'
if not os.path.isfile(json_file_path):
my_window['json_file_path'].update('not saved yet')
else:
my_window['json_file_path'].update('already saved')
if event == 'submit_to_model':
file_name = values['file_name']
# terminal commands, need value['file_path']
json_file_path = 'D:\\VMShare\\cuckoo_report_analyzer-master\\storage\\' + file_name + '\\processes.json'
pred = predict_api.api_predict('./api_reader/api.csv', json_file_path,
'./classification_api/behavioral-malware-detection-based-on-api-calls_model.h5')
if np.argmax([pred[0]]) == 0:
my_window['api_result'].update('BENIGN')
else:
my_window['api_result'].update('MALWARE')
# 写入日志
csv_path = './log.csv'
csv_file = open(csv_path, 'a')
csv_file.write(
'API,' + file_name + ',' + str(get_hash(json_file_path)) + ',' + str(np.argmax([pred[0]])) + '\n')
csv_file.close()
if event == 'submit_traffic':
file_name = values['file_name']
traffic_pic_path = values['traffic_file_path']
my_window['traffic_pic'].update(filename=traffic_pic_path)
model_p = './classification_traffic/traffic_class.h5'
pic = predict_traffic.load_traffic_data(traffic_pic_path)
pred = predict_traffic.traffic_predict(pic, model_p)
if np.argmax([pred[0]]) == 0:
my_window['traffic_result'].update('BENIGN')
else:
my_window['traffic_result'].update('MALWARE')
# 写入日志
csv_path = './log.csv'
csv_file = open(csv_path, 'a')
csv_file.write(
'Traffic,' + file_name + ',' + str(get_hash(traffic_pic_path)) + ',' + str(np.argmax([pred[0]])) + '\n')
csv_file.close()
if event == 'refresh_pic':
traffic_pic_path = values['traffic_file_path']
my_window['traffic_pic'].update(filename=traffic_pic_path)
my_window.close()