Files
WeChatDataAnalysis/src/wechat_decrypt_tool/wechat_decrypt.py
T
2977094657 848847c162 feat(api): 支持挂载 Nuxt 静态 UI 并统一桌面端运行参数
- 若存在 WECHAT_TOOL_UI_DIR 或 frontend/.output/public,则在 / 挂载静态站点并支持 SPA 路由回退
- API 根端点调整为 /api,避免与静态 UI 冲突
- 新增 WECHAT_TOOL_DATA_DIR 输出目录约定,统一 databases/key store 等路径
- host/port 支持通过 WECHAT_TOOL_HOST / WECHAT_TOOL_PORT 配置,并打印可访问地址
- 新增 backend_entry.py 作为 PyInstaller 入口,减少动态导入识别问题
2026-01-17 18:23:35 +08:00

500 lines
18 KiB
Python

#!/usr/bin/env python3
"""
微信4.x数据库解密工具
基于SQLCipher 4.0加密机制,支持批量解密微信数据库文件
使用方法:
python wechat_decrypt.py
密钥: 请通过参数传入您的解密密钥
"""
import hashlib
import hmac
import os
import json
from pathlib import Path
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from .app_paths import get_output_databases_dir
# 注意:不再支持默认密钥,所有密钥必须通过参数传入
# SQLite文件头
SQLITE_HEADER = b"SQLite format 3\x00"
def setup_logging():
"""设置日志配置 - 已弃用,使用统一的日志配置"""
from .logging_config import setup_logging as unified_setup_logging
# 使用统一的日志配置
log_file = unified_setup_logging()
log_dir = log_file.parent
import logging
logger = logging.getLogger(__name__)
logger.info(f"解密模块日志系统初始化完成,日志文件: {log_file}")
return log_dir
class WeChatDatabaseDecryptor:
"""微信4.x数据库解密器"""
def __init__(self, key_hex: str):
"""初始化解密器
参数:
key_hex: 64位十六进制密钥
"""
if len(key_hex) != 64:
raise ValueError("密钥必须是64位十六进制字符串")
try:
self.key_bytes = bytes.fromhex(key_hex)
except ValueError:
raise ValueError("密钥必须是有效的十六进制字符串")
def decrypt_database(self, db_path: str, output_path: str) -> bool:
"""解密微信4.x版本数据库
使用SQLCipher 4.0参数:
- PBKDF2-SHA512, 256000轮迭代
- AES-256-CBC加密
- HMAC-SHA512验证
- 页面大小4096字节
"""
from .logging_config import get_logger
logger = get_logger(__name__)
logger.info(f"开始解密数据库: {db_path}")
try:
with open(db_path, 'rb') as f:
encrypted_data = f.read()
logger.info(f"读取文件大小: {len(encrypted_data)} bytes")
if len(encrypted_data) < 4096:
logger.warning(f"文件太小,跳过解密: {db_path}")
return False
# 检查是否已经是解密的数据库
if encrypted_data.startswith(SQLITE_HEADER):
logger.info(f"文件已是SQLite格式,直接复制: {db_path}")
with open(output_path, 'wb') as f:
f.write(encrypted_data)
return True
# 提取salt (前16字节)
salt = encrypted_data[:16]
# 计算mac_salt (salt XOR 0x3a)
mac_salt = bytes(b ^ 0x3a for b in salt)
# 使用PBKDF2-SHA512派生密钥
kdf = PBKDF2HMAC(
algorithm=hashes.SHA512(),
length=32,
salt=salt,
iterations=256000,
backend=default_backend()
)
derived_key = kdf.derive(self.key_bytes)
# 派生MAC密钥
mac_kdf = PBKDF2HMAC(
algorithm=hashes.SHA512(),
length=32,
salt=mac_salt,
iterations=2,
backend=default_backend()
)
mac_key = mac_kdf.derive(derived_key)
# 解密数据
decrypted_data = bytearray()
decrypted_data.extend(SQLITE_HEADER)
page_size = 4096
iv_size = 16
hmac_size = 64 # SHA512的HMAC是64字节
# 计算保留区域大小 (对齐到AES块大小)
reserve_size = iv_size + hmac_size
if reserve_size % 16 != 0:
reserve_size = ((reserve_size // 16) + 1) * 16
total_pages = len(encrypted_data) // page_size
successful_pages = 0
failed_pages = 0
# 逐页解密
for cur_page in range(total_pages):
start = cur_page * page_size
end = start + page_size
page = encrypted_data[start:end]
page_num = cur_page + 1 # 页面编号从1开始
if len(page) < page_size:
logger.warning(f"页面 {page_num} 大小不足: {len(page)} bytes")
break
# 确定偏移量:第一页(cur_page == 0)需要跳过salt
offset = 16 if cur_page == 0 else 0 # SALT_SIZE = 16
# 提取存储的HMAC
hmac_start = page_size - reserve_size + iv_size
hmac_end = hmac_start + hmac_size
stored_hmac = page[hmac_start:hmac_end]
# 按照wechat-dump-rs的方式验证HMAC
data_end = page_size - reserve_size + iv_size
hmac_data = page[offset:data_end]
# 分步计算HMAC:先更新数据,再更新页面编号
mac = hmac.new(mac_key, digestmod=hashlib.sha512)
mac.update(hmac_data) # 包含加密数据+IV
mac.update(page_num.to_bytes(4, 'little')) # 页面编号(小端序)
expected_hmac = mac.digest()
if stored_hmac != expected_hmac:
logger.warning(f"页面 {page_num} HMAC验证失败")
failed_pages += 1
continue
# 提取IV和加密数据用于AES解密
iv = page[page_size - reserve_size:page_size - reserve_size + iv_size]
encrypted_page = page[offset:page_size - reserve_size]
# AES-CBC解密
try:
cipher = Cipher(
algorithms.AES(derived_key),
modes.CBC(iv),
backend=default_backend()
)
decryptor = cipher.decryptor()
decrypted_page = decryptor.update(encrypted_page) + decryptor.finalize()
# 按照wechat-dump-rs的方式重组页面数据
decrypted_data.extend(decrypted_page)
decrypted_data.extend(page[page_size - reserve_size:]) # 保留区域
successful_pages += 1
except Exception as e:
logger.error(f"页面 {page_num} AES解密失败: {e}")
failed_pages += 1
continue
logger.info(f"解密完成: 成功 {successful_pages} 页, 失败 {failed_pages} 页")
# 写入解密后的文件
with open(output_path, 'wb') as f:
f.write(decrypted_data)
logger.info(f"解密文件大小: {len(decrypted_data)} bytes")
return True
except Exception as e:
logger.error(f"解密失败: {db_path}, 错误: {e}")
return False
def decrypt_wechat_databases(db_storage_path: str = None, key: str = None) -> dict:
"""
微信数据库解密API函数
参数:
db_storage_path: 数据库存储路径,如 ......\\{微信id}\\db_storage
如果为None,将自动搜索数据库文件
key: 解密密钥(必需参数),64位十六进制字符串
返回值:
dict: 解密结果统计信息
{
"status": "success" | "error",
"message": "描述信息",
"total_databases": 总数据库数量,
"successful_count": 成功解密数量,
"failed_count": 失败数量,
"output_directory": "输出目录路径",
"processed_files": ["解密成功的文件列表"],
"failed_files": ["解密失败的文件列表"]
}
"""
from .logging_config import get_logger
# 获取日志器
logger = get_logger(__name__)
# 验证密钥是否提供
if not key:
return {
"status": "error",
"message": "解密密钥是必需的参数",
"total_databases": 0,
"successful_count": 0,
"failed_count": 0,
"output_directory": "",
"processed_files": [],
"failed_files": []
}
decrypt_key = key
logger.info("=" * 60)
logger.info("微信4.x数据库解密工具 - API模式")
logger.info("=" * 60)
# 创建基础输出目录
base_output_dir = get_output_databases_dir()
base_output_dir.mkdir(parents=True, exist_ok=True)
logger.info(f"基础输出目录: {base_output_dir.absolute()}")
# 查找数据库文件并按账号组织
account_databases = {} # {account_name: [db_info, ...]}
if db_storage_path:
# 使用指定路径查找数据库
storage_path = Path(db_storage_path)
if storage_path.exists():
# 尝试从路径中提取账号名
account_name = "unknown_account"
path_parts = storage_path.parts
# 常见的微信账号格式模式
account_patterns = ['wxid_']
for part in path_parts:
# 检查是否匹配已知的账号格式
for pattern in account_patterns:
if part.startswith(pattern):
# 提取主要部分,去掉后面的随机后缀
# 例如:wxid_v4mbduwqtzpt22_1e7a -> wxid_v4mbduwqtzpt22
parts = part.split('_')
if len(parts) >= 3: # wxid_主要部分_随机后缀
account_name = '_'.join(parts[:-1]) # 去掉最后一个随机部分
else:
account_name = part # 如果格式不符合预期,保留原名
break
if account_name != "unknown_account":
break
# 如果没有匹配到已知格式,使用包含数据库的目录名
if account_name == "unknown_account":
# 查找包含db_storage的父目录作为账号名
for part in reversed(path_parts):
if part != "db_storage" and len(part) > 3:
account_name = part
break
databases = []
# 使用递归查找,与自动检测逻辑一致
for root, dirs, files in os.walk(storage_path):
# 只处理db_storage目录下的数据库文件
if "db_storage" not in str(root):
continue
for file_name in files:
if not file_name.endswith(".db"):
continue
# 排除不需要解密的数据库
if file_name in ["key_info.db"]:
continue
db_path = os.path.join(root, file_name)
databases.append({
'path': db_path,
'name': file_name,
'account': account_name
})
if databases:
account_databases[account_name] = databases
logger.info(f"在指定路径找到账号 {account_name}{len(databases)} 个数据库文件")
else:
return {
"status": "error",
"message": f"指定的数据库路径不存在: {db_storage_path}",
"total_databases": 0,
"successful_count": 0,
"failed_count": 0,
"output_directory": str(base_output_dir.absolute()),
"processed_files": [],
"failed_files": []
}
else:
# 不再支持自动检测,要求用户提供具体的db_storage_path
return {
"status": "error",
"message": "请提供具体的db_storage_path参数。由于一个密钥只能对应一个账户,不支持自动检测多账户。",
"total_databases": 0,
"successful_count": 0,
"failed_count": 0,
"output_directory": str(base_output_dir.absolute()),
"processed_files": [],
"failed_files": []
}
if not account_databases:
return {
"status": "error",
"message": "未找到微信数据库文件!请确保微信已安装并有数据,或提供正确的db_storage路径",
"total_databases": 0,
"successful_count": 0,
"failed_count": 0,
"output_directory": str(base_output_dir.absolute()),
"processed_files": [],
"failed_files": []
}
# 计算总数据库数量
total_databases = sum(len(dbs) for dbs in account_databases.values())
# 创建解密器
try:
decryptor = WeChatDatabaseDecryptor(decrypt_key)
logger.info("解密器初始化成功")
except ValueError as e:
return {
"status": "error",
"message": f"密钥错误: {e}",
"total_databases": total_databases,
"successful_count": 0,
"failed_count": 0,
"output_directory": str(base_output_dir.absolute()),
"processed_files": [],
"failed_files": []
}
# 按账号批量解密
success_count = 0
processed_files = []
failed_files = []
account_results = {}
for account_name, databases in account_databases.items():
logger.info(f"开始解密账号 {account_name}{len(databases)} 个数据库")
# 为每个账号创建专门的输出目录
account_output_dir = base_output_dir / account_name
account_output_dir.mkdir(parents=True, exist_ok=True)
logger.info(f"账号 {account_name} 输出目录: {account_output_dir}")
try:
source_db_storage_path = str(db_storage_path or "")
wxid_dir = ""
if db_storage_path:
sp = Path(db_storage_path)
if sp.name.lower() == "db_storage":
wxid_dir = str(sp.parent)
else:
wxid_dir = str(sp)
(account_output_dir / "_source.json").write_text(
json.dumps(
{
"db_storage_path": source_db_storage_path,
"wxid_dir": wxid_dir,
},
ensure_ascii=False,
indent=2,
),
encoding="utf-8",
)
except Exception:
pass
account_success = 0
account_processed = []
account_failed = []
for db_info in databases:
db_path = db_info['path']
db_name = db_info['name']
# 生成输出文件名(保持原始文件名,不添加前缀)
output_path = account_output_dir / db_name
# 解密数据库
logger.info(f"解密 {account_name}/{db_name}")
if decryptor.decrypt_database(db_path, str(output_path)):
account_success += 1
success_count += 1
account_processed.append(str(output_path))
processed_files.append(str(output_path))
logger.info(f"解密成功: {account_name}/{db_name}")
else:
account_failed.append(db_path)
failed_files.append(db_path)
logger.error(f"解密失败: {account_name}/{db_name}")
# 记录账号解密结果
account_results[account_name] = {
"total": len(databases),
"success": account_success,
"failed": len(databases) - account_success,
"output_dir": str(account_output_dir),
"processed_files": account_processed,
"failed_files": account_failed
}
# 构建“会话最后一条消息”缓存表:把耗时挪到解密阶段,后续会话列表直接查表
if os.environ.get("WECHAT_TOOL_BUILD_SESSION_LAST_MESSAGE", "1") != "0":
try:
from .session_last_message import build_session_last_message_table
account_results[account_name]["session_last_message"] = build_session_last_message_table(
account_output_dir,
rebuild=True,
include_hidden=True,
include_official=True,
)
except Exception as e:
logger.warning(f"构建会话最后一条消息缓存表失败: {account_name}: {e}")
account_results[account_name]["session_last_message"] = {
"status": "error",
"message": str(e),
}
logger.info(f"账号 {account_name} 解密完成: 成功 {account_success}/{len(databases)}")
# 返回结果
result = {
"status": "success" if success_count > 0 else "error",
"message": f"解密完成: 成功 {success_count}/{total_databases}",
"total_databases": total_databases,
"successful_count": success_count,
"failed_count": total_databases - success_count,
"output_directory": str(base_output_dir.absolute()),
"processed_files": processed_files,
"failed_files": failed_files,
"account_results": account_results # 新增:按账号的详细结果
}
logger.info("=" * 60)
logger.info("解密任务完成!")
logger.info(f"成功: {success_count}/{total_databases}")
logger.info(f"失败: {total_databases - success_count}/{total_databases}")
logger.info(f"输出目录: {base_output_dir.absolute()}")
logger.info("=" * 60)
return result
def main():
"""主函数 - 保持向后兼容"""
result = decrypt_wechat_databases()
if result["status"] == "error":
print(f"错误: {result['message']}")
else:
print(f"解密完成: {result['message']}")
print(f"输出目录: {result['output_directory']}")
if __name__ == "__main__":
main()