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MyInspect.py
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MyInspect.py
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#!/usr/bin/python
# coding:utf-8
import random
import string
from requests import Request, Session
from MyDecision import Decision
from MyXSS import XSS
from MyWord2Vec import Word2Vec
# const variable
PROXY = {'http': '127.0.0.1:8083'}
# 診断リクエストの生成・送信・レスポンスの受信
class WebInspect(object):
# コンストラクタ
def __init__(self, obj_browser=None):
self.obj_browser = obj_browser
self.bol_result_display = True
self.str_dummy_file_path = "C:\\Users\\itaka\\PycharmProjects\\saivs\\dummy.png"
# UrlTreeTBLを基に画面遷移を再現
def flow_replay(self, obj_session, obj_db_control, obj_agent, lst_row, lst_flow):
obj_decision = Decision()
int_flow_idx = 1
bol_flow_status = True
while int_flow_idx < len(lst_flow):
lst_value = []
int_page_no = lst_flow[len(lst_flow) - int_flow_idx]
str_sql = "SELECT * FROM UrlTreeTBL WHERE site_id = 1 AND page_no = " + str(int_page_no)
obj_cursor = obj_db_control.select(str_sql)
lst_flow_row = obj_cursor.fetchone()
bol_skip_flag = False
obj_response = None
# POSTパラメータが存在する場合
if lst_flow_row[13] != '':
# 親ページのレスポンス内から最新のパラメータ値を取得
dic_post_flow_params = {}
dic_post_flow_params, bol_skip_flag = obj_decision.update_post_parameter(obj_db_control, lst_flow_row)
# ログイン処理以外の場合
if lst_flow_row[3] != 1:
# 学習結果に基づき遷移に最適なパラメータ値を設定
int_idx = 0
bol_relearn_flag = False
lst_param_names = lst_flow_row[13].split('&')
lst_param_types = lst_flow_row[21].split(',')
lst_label_names = lst_flow_row[22].split(',')
while int_idx < int(lst_flow_row[14]):
# 対象パラメータがhiddenではない。かつ、ログイン処理(1)ではない場合。
if lst_label_names[int_idx] != '@' and lst_flow_row[3] != 1:
str_sql = "SELECT value from WordSimilarityTBL where word like '%" \
+ lst_label_names[int_idx] + "%';"
obj_cursor = obj_db_control.select(str_sql)
lst_all_row = obj_cursor.fetchall()
lst_param_names_tmp = lst_param_names[int_idx].split('=')
# 類似単語が類似単語管理テーブルに存在する
if len(lst_all_row) != 0:
lst_candidate = list(lst_all_row[0])
str_candidate_value = str(lst_candidate[0])
int_find_idx = str_candidate_value.find('@')
if int_find_idx > 0:
str_random_value = ''.join(
[random.choice(string.digits) for i in range(int_find_idx)])
str_candidate_value = str_random_value + str_candidate_value[int_find_idx:]
dic_post_flow_params[lst_param_names_tmp[0]] = str_candidate_value
# 類似単語が類似単語管理テーブルに存在しない
else:
obj_word2vec = Word2Vec()
obj_result = obj_word2vec.get_candidate_word(lst_label_names[int_idx])
if obj_result is not False:
for r in obj_result:
str_sql = "SELECT value from WordSimilarityTBL where word like '%" \
+ r[0] + "%';"
obj_cursor = obj_db_control.select(str_sql)
lst_all_row = obj_cursor.fetchall()
if len(lst_all_row) != 0:
lst_candidate = list(lst_all_row[0])
str_candidate_value = str(lst_candidate[0])
int_find_idx = str_candidate_value.find('@')
if int_find_idx > 0:
str_random_value = \
''.join([random.choice(string.digits) for i in range(int_find_idx)])
str_candidate_value = str_random_value + str_candidate_value[
int_find_idx:]
dic_post_flow_params[lst_param_names_tmp[0]] = str_candidate_value
break
if dic_post_flow_params[lst_param_names_tmp[0]] == '':
bol_relearn_flag = True
else:
bol_relearn_flag = True
int_idx += 1
# if bol_relearn_flag is True:
# print('I don\'t know this param value.')
# return
# POSTリクエストの送信
obj_request = None
if lst_flow_row[19] == "multipart/form-data":
# マルチパートリクエスト
dic_post_files = {}
dic_post_data = {}
# ファイルを保持するパラメータと通常のパラメータに切り分ける
dic_post_files, dic_post_data = obj_decision.divide_params(lst_flow_row[21],
dic_post_flow_params,
self.str_dummy_file_path)
obj_request = Request("POST",
obj_decision.assemble_url(lst_row),
files=dic_post_files,
data=dic_post_data
)
else:
# 通常のリクエスト
if lst_flow_row[8] == 'POST':
obj_request = Request("POST",
obj_decision.assemble_url(lst_flow_row),
data=dic_post_flow_params
)
else:
obj_request = Request("GET",
obj_decision.assemble_url(lst_flow_row),
params=dic_post_flow_params
)
obj_prepped = obj_session.prepare_request(obj_request)
obj_response = obj_session.send(obj_prepped,
verify=True,
timeout=60,
proxies=PROXY,
allow_redirects=False
)
else:
obj_request = Request("GET",
obj_decision.assemble_url(lst_flow_row),
)
obj_prepped = obj_session.prepare_request(obj_request)
obj_response = obj_session.send(obj_prepped,
verify=True,
timeout=60,
proxies=PROXY,
allow_redirects=False
)
# レスポンスをブラウザに表示（デモ用）
if obj_response is not None:
self.obj_browser.write_response_to_html(obj_response.text, obj_response.encoding)
self.obj_browser.refresh_browser()
# レスポンスがリダイレクトの場合
# リダイレクトが終了するまで繰り返しリダイレクト
while obj_response.is_redirect is True:
# Locationヘッダから遷移先URLを取得
dic_res_headers = obj_response.headers._store
tpl_location_header = dic_res_headers["location"]
str_redirect_url = tpl_location_header[1]
if 'http' not in str_redirect_url and 'https' not in str_redirect_url:
str_fqdn = lst_flow_row[9].encode() + "://" + lst_flow_row[10].encode() + ":" + str(lst_flow_row[11])
if str_redirect_url.startswith('/') is False:
str_redirect_url = '/' + str_redirect_url
str_redirect_url = str_fqdn + str_redirect_url
# リダイレクト
obj_request = Request("GET", str_redirect_url)
obj_prepped = obj_session.prepare_request(obj_request)
obj_response = obj_session.send(obj_prepped,
verify=True,
timeout=60,
proxies=PROXY,
allow_redirects=False
)
# レスポンスをブラウザに表示（デモ用）
if obj_response is not None:
self.obj_browser.write_response_to_html(obj_response.text, obj_response.encoding)
self.obj_browser.refresh_browser()
# エラーが返ってきた場合の処理
# TODO
bol_flow_status = True
# 最新のレスポンス値に更新
if bol_skip_flag is False:
str_parent_sql = "UPDATE UrlTreeTBL SET" \
" response_raw = ?" \
" WHERE id = ?;"
lst_parent_value = [obj_response.text, lst_flow_row[0]]
obj_db_control.update(str_parent_sql, lst_parent_value)
int_flow_idx += 1
return bol_flow_status
# UrlTreeTBLを基に画面遷移順序を取得
def get_flow(self, obj_db_control, lst_flow, int_parent_no):
while int_parent_no != 0:
lst_flow.append(int_parent_no)
str_flow_sql = "SELECT parent_no FROM UrlTreeTBL WHERE site_id = 1 AND page_no = ?"
lst_flow_value = [int_parent_no]
obj_cursor = obj_db_control.select(str_flow_sql, lst_flow_value)
lst_all_row = obj_cursor.fetchone()
int_parent_no = int(lst_all_row[0])
return lst_flow
# 診断のメインコントロール
def exec_inspect(self, obj_db_control, obj_agent, obj_env, lst_target_row, lst_flow, str_train_action):
obj_decision = Decision()
bol_vuln_flag = False
int_param_count = 0
while int_param_count < lst_target_row[14]:
# XSSの検査
obj_xss = XSS(int_param_count, str_train_action, self.obj_browser)
obj_xss.exec_xss(obj_db_control, obj_agent, lst_target_row, lst_flow)
int_param_count += 1
return bol_vuln_flag