Merge PR #18: feat: Linux 数据库解密支持

- 新增 find_all_keys_linux.py (通过 /proc/pid/mem 扫描密钥)
- 新增 key_utils.py (跨平台路径兼容)
- 新增 key_scan_common.py (公共扫描逻辑)
- 拆分 find_all_keys.py 为平台分发入口
- 所有下游模块统一使用 get_key_info() 查找密钥

Fixes #12 (部分: Linux 支持)
Co-authored-by: PeanutSplash <b1300658700@outlook.com>
feat/daemon-cli
ylytdeng 2026-03-07 21:35:37 +08:00
commit a5a347f69e
13 changed files with 1188 additions and 721 deletions

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@ -1,238 +1,243 @@
# WeChat 4.0 Database Decryptor
微信 4.0 (Windows) 本地数据库解密工具。从运行中的微信进程内存提取加密密钥,解密所有 SQLCipher 4 加密数据库,并提供实时消息监听。
## 更新日志
### 2025-03-03 — 富媒体内容 & 组合消息修复
- **表情包内联显示**: 自动从 emoticon.db 构建 MD5→CDN 映射支持自定义表情NonStore和商店表情StoreCDN 下载后本地缓存
- **富媒体内容解析**: 链接卡片type 49、文件、视频号、小程序、引用回复、位置分享等在 Web UI 中完整渲染
- **文字+图片组合消息不再丢失**: 修复同时发送文字和图片时只显示最后一条的问题(前端去重 key 增加消息类型)
- **隐藏消息检测**: 新增 `_check_hidden_messages` 机制session.db 只保存最后一条消息摘要,现在会异步查 message DB 找回同一秒内的其他消息
- **MonitorDBCache 线程安全**: 引入 per-key 锁,防止多线程并发解密同一数据库导致文件损坏
- **Web UI 改进**: 消息气泡样式优化、群聊发送者显示、图片缩略图点击放大
## 原理
微信 4.0 使用 SQLCipher 4 加密本地数据库:
- **加密算法**: AES-256-CBC + HMAC-SHA512
- **KDF**: PBKDF2-HMAC-SHA512, 256,000 iterations
- **页面大小**: 4096 bytes, reserve = 80 (IV 16 + HMAC 64)
- **每个数据库有独立的 salt 和 enc_key**
WCDB (微信的 SQLCipher 封装) 会在进程内存中缓存派生后的 raw key格式为 `x'<64hex_enc_key><32hex_salt>'`。本工具通过扫描进程内存中的这种模式,匹配数据库文件的 salt并通过 HMAC 验证来提取正确的密钥。
## 使用方法
### 环境要求
- Windows 10/11
- Python 3.10+
- 微信 4.0 (正在运行)
- 需要管理员权限 (读取进程内存)
### 安装依赖
```bash
pip install pycryptodome
```
### 快速开始
确保微信正在运行,以**管理员权限**执行:
```bash
python main.py # 实时消息监听 (Web UI)
python main.py decrypt # 解密全部数据库到 decrypted/
```
程序会自动完成:配置检测 → 密钥提取 → 启动。首次运行会自动检测微信数据目录并生成 `config.json`
如果自动检测失败(例如微信安装在非默认位置),手动创建 `config.json`
```json
{
"db_dir": "D:\\xwechat_files\\你的微信ID\\db_storage",
"keys_file": "all_keys.json",
"decrypted_dir": "decrypted",
"wechat_process": "Weixin.exe"
}
```
`db_dir` 路径可以在 微信设置 → 文件管理 中找到。
### Web UI 说明
`python main.py` 启动后打开 http://localhost:5678 查看实时消息流。
- 30ms 轮询 WAL 文件变化 (mtime)
- 检测到变化后全量解密 + WAL patch (~70ms)
- SSE 实时推送到浏览器
- 总延迟约 100ms
- **图片消息内联预览**(支持旧 XOR / V1 / V2 三种 .dat 加密格式)
### MCP Server (Claude AI 集成)
将微信数据查询能力接入 [Claude Code](https://claude.ai/claude-code),让 AI 直接读取你的微信消息。
```bash
pip install mcp
```
注册到 Claude Code
```bash
claude mcp add wechat -- python C:\Users\你的用户名\wechat-decrypt\mcp_server.py
```
或手动编辑 `~/.claude.json`
```json
{
"mcpServers": {
"wechat": {
"type": "stdio",
"command": "python",
"args": ["C:\\Users\\你的用户名\\wechat-decrypt\\mcp_server.py"]
}
}
}
```
注册后在 Claude Code 中即可使用以下工具:
| Tool | 功能 |
|------|------|
| `get_recent_sessions(limit)` | 最近会话列表(含消息摘要、未读数) |
| `get_chat_history(chat_name, limit)` | 指定聊天的消息记录(支持模糊匹配名字) |
| `search_messages(keyword, limit)` | 全库搜索消息内容 |
| `get_contacts(query, limit)` | 搜索/列出联系人 |
| `get_new_messages()` | 获取自上次调用以来的新消息 |
前置条件:需要先运行 `python main.py``python find_all_keys.py` 完成密钥提取。
**[查看使用案例 →](USAGE.md)**
### 图片解密 (V2 格式)
微信 4.0 (2025-08+) 的 .dat 图片文件使用 AES-128-ECB + XOR 混合加密 (V2 格式)。AES 密钥需要从运行中的微信进程内存中提取:
```bash
# 1. 在微信中打开查看 2-3 张图片(点击看大图)
# 2. 立即运行密钥提取(持续监控版):
python find_image_key_monitor.py
# 或单次扫描版:
python find_image_key.py
```
密钥会自动保存到 `config.json``image_aes_key` 字段。之后 `monitor_web.py` 启动时会自动加载密钥,图片消息将显示内联预览。
> **注意**: AES 密钥仅在微信查看图片时临时加载到内存中。如果扫描未找到密钥,请先在微信中查看几张图片,然后立即重新运行脚本。
#### macOS 图片解密
macOS 上使用 C 版工具(通过 Mach VM API + CommonCrypto性能比 Python 高 100 倍):
**前置条件:**
- Xcode Command Line Tools: `xcode-select --install`
- 微信需要 ad-hoc 签名:`sudo codesign --force --deep --sign - /Applications/WeChat.app`
- 开发者模式:系统设置 → 隐私与安全 → 开发者模式 → 开启
```bash
# 编译
cc -O3 -o find_image_key find_image_key.c -framework Security
cc -O3 -o decrypt_images decrypt_images.c -framework Security
# 1. 持续扫描图片密钥(在微信中浏览图片,扫描器自动捕获密钥)
sudo ./find_image_key
# 2. 批量解密所有 V2 图片
./decrypt_images
```
`find_image_key` 会自动发现所有未解密的 V2 图片 pattern持续扫描微信进程内存。当用户在微信中浏览图片时捕获密钥保存到 `image_keys.json`。支持 `--deep` 模式进行逐字节深度扫描。
## 文件说明
| 文件 | 说明 |
|------|------|
| `main.py` | **一键启动入口** — 自动配置、提取密钥、启动服务 |
| `config.py` | 配置加载器(自动检测微信数据目录) |
| `find_all_keys.py` | 从微信进程内存提取所有数据库密钥 |
| `decrypt_db.py` | 全量解密所有数据库 |
| `mcp_server.py` | MCP Server让 Claude AI 查询微信数据 |
| `monitor_web.py` | 实时消息监听 (Web UI + SSE + 图片预览) |
| `monitor.py` | 实时消息监听 (命令行) |
| `decode_image.py` | 图片 .dat 文件解密模块 (XOR / V1 / V2) |
| `find_image_key.py` | 从微信进程内存提取图片 AES 密钥 |
| `find_image_key_monitor.py` | 持续监控版密钥提取(推荐) |
| `latency_test.py` | 延迟测量诊断工具 |
| `find_all_keys_macos.c` | macOS 版内存密钥扫描器 (C, Mach VM API) |
| `find_image_key.c` | macOS 版图片密钥扫描器 (C, 持续监控模式) |
| `decrypt_images.c` | macOS 版批量图片解密器 (C, 多密钥支持) |
## 技术细节
### WAL 处理
微信使用 SQLite WAL 模式WAL 文件是**预分配固定大小** (4MB)。检测变化时:
- 不能用文件大小 (永远不变)
- 使用 mtime 检测写入
- 解密 WAL frame 时需校验 salt 值,跳过旧周期遗留的 frame
### 图片 .dat 加密格式
微信本地图片 (.dat) 有三种加密格式:
| 格式 | 时期 | Magic | 加密方式 | 密钥来源 |
|------|------|-------|---------|---------|
| 旧 XOR | ~2025-07 | 无 | 单字节 XOR | 自动检测 (对比 magic bytes) |
| V1 | 过渡期 | `07 08 V1 08 07` | AES-ECB + XOR | 固定 key: `cfcd208495d565ef` |
| V2 | 2025-08+ | `07 08 V2 08 07` | AES-128-ECB + XOR | 从进程内存提取 |
V2 文件结构: `[6B signature] [4B aes_size LE] [4B xor_size LE] [1B padding]` + `[AES-ECB encrypted] [raw unencrypted] [XOR encrypted]`
### 数据库结构
解密后包含约 26 个数据库:
- `session/session.db` - 会话列表 (最新消息摘要)
- `message/message_*.db` - 聊天记录
- `contact/contact.db` - 联系人
- `media_*/media_*.db` - 媒体文件索引
- 其他: head_image, favorite, sns, emoticon 等
## macOS 数据库密钥扫描 (WeChat 4.x)
macOS 版微信 4.x 使用 SQLCipher 4 加密本地数据库,密钥格式为 `x'<64hex_key><32hex_salt>'`。C 版扫描器通过 Mach VM API 扫描微信进程内存提取密钥。
### 前置条件
- macOS (Apple Silicon / Intel)
- WeChat 4.x (macOS 版)
- Xcode Command Line Tools: `xcode-select --install`
- 微信需要 ad-hoc 签名(或安装了防撤回补丁):
`sudo codesign --force --deep --sign - /Applications/WeChat.app`
### 编译和使用
```bash
# 编译
cc -O2 -o find_all_keys_macos find_all_keys_macos.c -framework Foundation
# 运行(自动查找微信进程、扫描内存、匹配 DB salt
sudo ./find_all_keys_macos
# 或指定 PID
sudo ./find_all_keys_macos <pid>
```
输出 `all_keys.json`,格式兼容 `decrypt_db.py`,可直接用于解密:
```bash
python3 decrypt_db.py
```
## 免责声明
本工具仅用于学习和研究目的,用于解密**自己的**微信数据。请遵守相关法律法规,不要用于未经授权的数据访问。
# WeChat 4.x Database Decryptor
微信 4.0 (Windows、MacOS、Linux) 本地数据库解密工具。从运行中的微信进程内存提取加密密钥,解密所有 SQLCipher 4 加密数据库,并提供实时消息监听。
## 更新日志
### 2025-03-03 — 富媒体内容 & 组合消息修复
- **表情包内联显示**: 自动从 emoticon.db 构建 MD5→CDN 映射支持自定义表情NonStore和商店表情StoreCDN 下载后本地缓存
- **富媒体内容解析**: 链接卡片type 49、文件、视频号、小程序、引用回复、位置分享等在 Web UI 中完整渲染
- **文字+图片组合消息不再丢失**: 修复同时发送文字和图片时只显示最后一条的问题(前端去重 key 增加消息类型)
- **隐藏消息检测**: 新增 `_check_hidden_messages` 机制session.db 只保存最后一条消息摘要,现在会异步查 message DB 找回同一秒内的其他消息
- **MonitorDBCache 线程安全**: 引入 per-key 锁,防止多线程并发解密同一数据库导致文件损坏
- **Web UI 改进**: 消息气泡样式优化、群聊发送者显示、图片缩略图点击放大
## 原理
微信 4.0 使用 SQLCipher 4 加密本地数据库:
- **加密算法**: AES-256-CBC + HMAC-SHA512
- **KDF**: PBKDF2-HMAC-SHA512, 256,000 iterations
- **页面大小**: 4096 bytes, reserve = 80 (IV 16 + HMAC 64)
- **每个数据库有独立的 salt 和 enc_key**
WCDB (微信的 SQLCipher 封装) 会在进程内存中缓存派生后的 raw key格式为 `x'<64hex_enc_key><32hex_salt>'`。三个平台Windows / Linux / macOS均可通过扫描进程内存匹配此模式再通过 HMAC 校验 page 1 确认密钥正确性。
## 使用方法
### 环境要求
- Python 3.10+
- 微信 4.x
- `pip install pycryptodome`
Windows
- Windows 10/11
- 微信正在运行
- 需要管理员权限(读取进程内存)
Linux
- 64-bit Linux
- 需要 root 权限或 `CAP_SYS_PTRACE`(读取 `/proc/<pid>/mem`
- `db_dir` 默认类似 `~/Documents/xwechat_files/<wxid>/db_storage`
### 安装依赖
```bash
pip install pycryptodome
```
### 快速开始
Windows
```bash
python main.py
python main.py decrypt
```
Linux
```bash
python3 main.py decrypt
```
程序会自动完成:配置检测 → 内存扫描提取密钥 → 解密。首次运行会自动检测微信数据目录并生成 `config.json`。微信只要在运行中即可,无需重启或重新登录。
如果自动检测失败(例如微信安装在非默认位置),手动创建 `config.json`
```json
{
"db_dir": "D:\\xwechat_files\\你的微信ID\\db_storage",
"keys_file": "all_keys.json",
"decrypted_dir": "decrypted",
"wechat_process": "Weixin.exe"
}
```
Linux 版 `config.json` 示例:
```json
{
"db_dir": "/home/yourname/Documents/xwechat_files/your_wxid/db_storage",
"keys_file": "all_keys.json",
"decrypted_dir": "decrypted",
"wechat_process": "wechat"
}
```
`db_dir` 路径Windows 可在微信设置 → 文件管理中找到Linux 默认在 `~/Documents/xwechat_files/<wxid>/db_storage`
### Web UI 说明
`python main.py` 启动后打开 http://localhost:5678 查看实时消息流。
- 30ms 轮询 WAL 文件变化 (mtime)
- 检测到变化后全量解密 + WAL patch (~70ms)
- SSE 实时推送到浏览器
- 总延迟约 100ms
- **图片消息内联预览**(支持旧 XOR / V1 / V2 三种 .dat 加密格式)
### MCP Server (Claude AI 集成)
将微信数据查询能力接入 [Claude Code](https://claude.ai/claude-code),让 AI 直接读取你的微信消息。
```bash
pip install mcp
```
注册到 Claude Code
```bash
claude mcp add wechat -- python C:\Users\你的用户名\wechat-decrypt\mcp_server.py
```
或手动编辑 `~/.claude.json`
```json
{
"mcpServers": {
"wechat": {
"type": "stdio",
"command": "python",
"args": ["C:\\Users\\你的用户名\\wechat-decrypt\\mcp_server.py"]
}
}
}
```
注册后在 Claude Code 中即可使用以下工具:
| Tool | 功能 |
|------|------|
| `get_recent_sessions(limit)` | 最近会话列表(含消息摘要、未读数) |
| `get_chat_history(chat_name, limit)` | 指定聊天的消息记录(支持模糊匹配名字) |
| `search_messages(keyword, limit)` | 全库搜索消息内容 |
| `get_contacts(query, limit)` | 搜索/列出联系人 |
| `get_new_messages()` | 获取自上次调用以来的新消息 |
前置条件:需要先运行 `python main.py``python find_all_keys.py` 完成密钥提取。
**[查看使用案例 →](USAGE.md)**
### 图片解密 (V2 格式)
微信 4.0 (2025-08+) 的 .dat 图片文件使用 AES-128-ECB + XOR 混合加密 (V2 格式)。AES 密钥需要从运行中的微信进程内存中提取:
```bash
# 1. 在微信中打开查看 2-3 张图片(点击看大图)
# 2. 立即运行密钥提取(持续监控版):
python find_image_key_monitor.py
# 或单次扫描版:
python find_image_key.py
```
密钥会自动保存到 `config.json``image_aes_key` 字段。之后 `monitor_web.py` 启动时会自动加载密钥,图片消息将显示内联预览。
> **注意**: AES 密钥仅在微信查看图片时临时加载到内存中。如果扫描未找到密钥,请先在微信中查看几张图片,然后立即重新运行脚本。
## 文件说明
| 文件 | 说明 |
|------|------|
| `main.py` | **一键启动入口** — 自动配置、提取密钥、启动服务 |
| `config.py` | 配置加载器(自动检测微信数据目录) |
| `find_all_keys.py` | 平台分发入口Windows / Linux |
| `find_all_keys_windows.py` | Windows 版内存扫描提 key |
| `find_all_keys_linux.py` | Linux 版内存扫描提 key |
| `decrypt_db.py` | 全量解密所有数据库 |
| `mcp_server.py` | MCP Server让 Claude AI 查询微信数据 |
| `monitor_web.py` | 实时消息监听 (Web UI + SSE + 图片预览) |
| `monitor.py` | 实时消息监听 (命令行) |
| `decode_image.py` | 图片 .dat 文件解密模块 (XOR / V1 / V2) |
| `find_image_key.py` | 从微信进程内存提取图片 AES 密钥 |
| `find_image_key_monitor.py` | 持续监控版密钥提取(推荐) |
| `latency_test.py` | 延迟测量诊断工具 |
| `find_all_keys_macos.c` | macOS 版内存密钥扫描器 (C, Mach VM API) |
## 技术细节
### WAL 处理
微信使用 SQLite WAL 模式WAL 文件是**预分配固定大小** (4MB)。检测变化时:
- 不能用文件大小 (永远不变)
- 使用 mtime 检测写入
- 解密 WAL frame 时需校验 salt 值,跳过旧周期遗留的 frame
### 图片 .dat 加密格式
微信本地图片 (.dat) 有三种加密格式:
| 格式 | 时期 | Magic | 加密方式 | 密钥来源 |
|------|------|-------|---------|---------|
| 旧 XOR | ~2025-07 | 无 | 单字节 XOR | 自动检测 (对比 magic bytes) |
| V1 | 过渡期 | `07 08 V1 08 07` | AES-ECB + XOR | 固定 key: `cfcd208495d565ef` |
| V2 | 2025-08+ | `07 08 V2 08 07` | AES-128-ECB + XOR | 从进程内存提取 |
V2 文件结构: `[6B signature] [4B aes_size LE] [4B xor_size LE] [1B padding]` + `[AES-ECB encrypted] [raw unencrypted] [XOR encrypted]`
### 数据库结构
解密后包含约 26 个数据库:
- `session/session.db` - 会话列表 (最新消息摘要)
- `message/message_*.db` - 聊天记录
- `contact/contact.db` - 联系人
- `media_*/media_*.db` - 媒体文件索引
- 其他: head_image, favorite, sns, emoticon 等
## macOS 数据库密钥扫描 (WeChat 4.x)
macOS 版微信 4.x 使用 SQLCipher 4 加密本地数据库,密钥格式为 `x'<64hex_key><32hex_salt>'`。C 版扫描器通过 Mach VM API 扫描微信进程内存提取密钥。
### 前置条件
- macOS (Apple Silicon / Intel)
- WeChat 4.x (macOS 版)
- Xcode Command Line Tools: `xcode-select --install`
- 微信需要 ad-hoc 签名(或安装了防撤回补丁):
`sudo codesign --force --deep --sign - /Applications/WeChat.app`
### 编译和使用
```bash
# 编译
cc -O2 -o find_all_keys_macos find_all_keys_macos.c -framework Foundation
# 运行(自动查找微信进程、扫描内存、匹配 DB salt
sudo ./find_all_keys_macos
# 或指定 PID
sudo ./find_all_keys_macos <pid>
```
输出 `all_keys.json`,格式兼容 `decrypt_db.py`,可直接用于解密:
```bash
python3 decrypt_db.py
```
## 免责声明
本工具仅用于学习和研究目的,用于解密**自己的**微信数据。请遵守相关法律法规,不要用于未经授权的数据访问。

View File

@ -1,6 +1,6 @@
{
"db_dir": "D:\\xwechat_files\\your_wxid\\db_storage",
"keys_file": "all_keys.json",
"decrypted_dir": "decrypted",
"wechat_process": "Weixin.exe"
}
{
"db_dir": "D:\\xwechat_files\\your_wxid\\db_storage",
"keys_file": "all_keys.json",
"decrypted_dir": "decrypted",
"wechat_process": "Weixin.exe"
}

358
config.py
View File

@ -1,138 +1,220 @@
"""
配置加载器 - config.json 读取路径配置
首次运行时自动检测微信数据目录检测失败则提示手动配置
"""
import glob
import json
import os
import sys
CONFIG_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "config.json")
_DEFAULT_TEMPLATE_DIR = r"D:\xwechat_files\your_wxid\db_storage"
_DEFAULT = {
"db_dir": _DEFAULT_TEMPLATE_DIR,
"keys_file": "all_keys.json",
"decrypted_dir": "decrypted",
"decoded_image_dir": "decoded_images",
"wechat_process": "Weixin.exe",
}
def auto_detect_db_dir():
"""从微信本地配置自动检测 db_storage 路径。
读取 %APPDATA%\\Tencent\\xwechat\\config\\*.ini
找到数据存储根目录然后匹配 xwechat_files\\*\\db_storage
"""
appdata = os.environ.get("APPDATA", "")
config_dir = os.path.join(appdata, "Tencent", "xwechat", "config")
if not os.path.isdir(config_dir):
return None
# 从 ini 文件中找到有效的目录路径
data_roots = []
for ini_file in glob.glob(os.path.join(config_dir, "*.ini")):
try:
# 微信 ini 可能是 utf-8 或 gbk 编码(中文路径)
content = None
for enc in ("utf-8", "gbk"):
try:
with open(ini_file, "r", encoding=enc) as f:
content = f.read(1024).strip()
break
except UnicodeDecodeError:
continue
if not content or any(c in content for c in "\n\r\x00"):
continue
if os.path.isdir(content):
data_roots.append(content)
except OSError:
continue
# 在每个根目录下搜索 xwechat_files\*\db_storage
seen = set()
candidates = []
for root in data_roots:
pattern = os.path.join(root, "xwechat_files", "*", "db_storage")
for match in glob.glob(pattern):
normalized = os.path.normcase(os.path.normpath(match))
if os.path.isdir(match) and normalized not in seen:
seen.add(normalized)
candidates.append(match)
if len(candidates) == 1:
return candidates[0]
if len(candidates) > 1:
# 非交互环境MCP、无 stdin 管道等)直接取第一个
if not sys.stdin.isatty():
return candidates[0]
print("[!] 检测到多个微信数据目录(请选择当前正在运行的微信账号):")
for i, c in enumerate(candidates, 1):
print(f" {i}. {c}")
print(" 0. 跳过,稍后手动配置")
try:
while True:
choice = input("请选择 [0-{}]: ".format(len(candidates))).strip()
if choice == "0":
return None
if choice.isdigit() and 1 <= int(choice) <= len(candidates):
return candidates[int(choice) - 1]
print(" 无效输入,请重新选择")
except (EOFError, KeyboardInterrupt):
print()
return None
return None
def load_config():
cfg = {}
if os.path.exists(CONFIG_FILE):
try:
with open(CONFIG_FILE) as f:
cfg = json.load(f)
except json.JSONDecodeError:
print(f"[!] {CONFIG_FILE} 格式损坏,将使用默认配置")
cfg = {}
# db_dir 缺失或仍为模板值时,尝试自动检测
db_dir = cfg.get("db_dir", "")
if not db_dir or db_dir == _DEFAULT_TEMPLATE_DIR or "your_wxid" in db_dir:
detected = auto_detect_db_dir()
if detected:
print(f"[+] 自动检测到微信数据目录: {detected}")
# 合并默认值并保存
cfg = {**_DEFAULT, **cfg, "db_dir": detected}
with open(CONFIG_FILE, "w") as f:
json.dump(cfg, f, indent=4, ensure_ascii=False)
print(f"[+] 已保存到: {CONFIG_FILE}")
else:
if not os.path.exists(CONFIG_FILE):
with open(CONFIG_FILE, "w") as f:
json.dump(_DEFAULT, f, indent=4)
print(f"[!] 未能自动检测微信数据目录")
print(f" 请手动编辑 {CONFIG_FILE} 中的 db_dir 字段")
print(f" 路径可在 微信设置 → 文件管理 中找到")
sys.exit(1)
# 将相对路径转为绝对路径
base = os.path.dirname(os.path.abspath(__file__))
for key in ("keys_file", "decrypted_dir", "decoded_image_dir"):
if key in cfg and not os.path.isabs(cfg[key]):
cfg[key] = os.path.join(base, cfg[key])
# 自动推导微信数据根目录db_dir 的上级目录)
# db_dir 格式: D:\xwechat_files\<wxid>\db_storage
# base_dir 格式: D:\xwechat_files\<wxid>
db_dir = cfg.get("db_dir", "")
if db_dir and os.path.basename(db_dir) == "db_storage":
cfg["wechat_base_dir"] = os.path.dirname(db_dir)
else:
cfg["wechat_base_dir"] = db_dir
# decoded_image_dir 默认值
if "decoded_image_dir" not in cfg:
cfg["decoded_image_dir"] = os.path.join(base, "decoded_images")
return cfg
"""
配置加载器 - config.json 读取路径配置
首次运行时自动检测微信数据目录检测失败则提示手动配置
"""
import glob
import json
import os
import platform
import sys
CONFIG_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "config.json")
_SYSTEM = platform.system().lower()
if _SYSTEM == "linux":
_DEFAULT_TEMPLATE_DIR = os.path.expanduser("~/Documents/xwechat_files/your_wxid/db_storage")
_DEFAULT_PROCESS = "wechat"
elif _SYSTEM == "darwin":
# macOS 使用独立的 C 扫描器 (find_all_keys_macos.c),此处仅提供 config 默认值
_DEFAULT_TEMPLATE_DIR = os.path.expanduser("~/Documents/xwechat_files/your_wxid/db_storage")
_DEFAULT_PROCESS = "WeChat"
else:
_DEFAULT_TEMPLATE_DIR = r"D:\xwechat_files\your_wxid\db_storage"
_DEFAULT_PROCESS = "Weixin.exe"
_DEFAULT = {
"db_dir": _DEFAULT_TEMPLATE_DIR,
"keys_file": "all_keys.json",
"decrypted_dir": "decrypted",
"decoded_image_dir": "decoded_images",
"wechat_process": _DEFAULT_PROCESS,
}
def _choose_candidate(candidates):
"""在多个候选目录中选择一个。"""
if len(candidates) == 1:
return candidates[0]
if len(candidates) > 1:
if not sys.stdin.isatty():
return candidates[0]
print("[!] 检测到多个微信数据目录(请选择当前正在运行的微信账号):")
for i, c in enumerate(candidates, 1):
print(f" {i}. {c}")
print(" 0. 跳过,稍后手动配置")
try:
while True:
choice = input("请选择 [0-{}]: ".format(len(candidates))).strip()
if choice == "0":
return None
if choice.isdigit() and 1 <= int(choice) <= len(candidates):
return candidates[int(choice) - 1]
print(" 无效输入,请重新选择")
except (EOFError, KeyboardInterrupt):
print()
return None
return None
def _auto_detect_db_dir_windows():
"""从微信本地配置自动检测 Windows db_storage 路径。
读取 %APPDATA%\\Tencent\\xwechat\\config\\*.ini
找到数据存储根目录然后匹配 xwechat_files\\*\\db_storage
"""
appdata = os.environ.get("APPDATA", "")
config_dir = os.path.join(appdata, "Tencent", "xwechat", "config")
if not os.path.isdir(config_dir):
return None
# 从 ini 文件中找到有效的目录路径
data_roots = []
for ini_file in glob.glob(os.path.join(config_dir, "*.ini")):
try:
# 微信 ini 可能是 utf-8 或 gbk 编码(中文路径)
content = None
for enc in ("utf-8", "gbk"):
try:
with open(ini_file, "r", encoding=enc) as f:
content = f.read(1024).strip()
break
except UnicodeDecodeError:
continue
if not content or any(c in content for c in "\n\r\x00"):
continue
if os.path.isdir(content):
data_roots.append(content)
except OSError:
continue
# 在每个根目录下搜索 xwechat_files\*\db_storage
seen = set()
candidates = []
for root in data_roots:
pattern = os.path.join(root, "xwechat_files", "*", "db_storage")
for match in glob.glob(pattern):
normalized = os.path.normcase(os.path.normpath(match))
if os.path.isdir(match) and normalized not in seen:
seen.add(normalized)
candidates.append(match)
return _choose_candidate(candidates)
def _auto_detect_db_dir_linux():
"""自动检测 Linux 微信 db_storage 路径。
优先搜索当前用户的 home 目录 sudo 运行时通过 SUDO_USER 回退到
实际用户的 home避免只搜索 /root 而遗漏真实数据目录
"""
seen = set()
candidates = []
search_roots = [
os.path.expanduser("~/Documents/xwechat_files"),
]
# sudo 运行时,~ 展开为 /root回退到实际用户的 home
sudo_user = os.environ.get("SUDO_USER")
if sudo_user:
# 验证 SUDO_USER 是合法系统用户,防止路径注入
import pwd
try:
sudo_home = pwd.getpwnam(sudo_user).pw_dir
except KeyError:
sudo_home = None
if sudo_home:
fallback = os.path.join(sudo_home, "Documents", "xwechat_files")
if fallback not in search_roots:
search_roots.append(fallback)
for root in search_roots:
if not os.path.isdir(root):
continue
pattern = os.path.join(root, "*", "db_storage")
for match in glob.glob(pattern):
normalized = os.path.normcase(os.path.normpath(match))
if os.path.isdir(match) and normalized not in seen:
seen.add(normalized)
candidates.append(match)
# 早期 Linux 微信版本wine/容器方案)使用的数据路径
old_path = os.path.expanduser("~/.local/share/weixin/data/db_storage")
if os.path.isdir(old_path):
normalized = os.path.normcase(os.path.normpath(old_path))
if normalized not in seen:
candidates.append(old_path)
# 优先使用最近活跃账号:按 message 目录 mtime 降序近似排序best-effort
def _mtime(path):
msg_dir = os.path.join(path, "message")
target = msg_dir if os.path.isdir(msg_dir) else path
try:
return os.path.getmtime(target)
except OSError:
return 0
candidates.sort(key=_mtime, reverse=True)
return _choose_candidate(candidates)
def auto_detect_db_dir():
if _SYSTEM == "windows":
return _auto_detect_db_dir_windows()
if _SYSTEM == "linux":
return _auto_detect_db_dir_linux()
return None
def load_config():
cfg = {}
if os.path.exists(CONFIG_FILE):
try:
with open(CONFIG_FILE) as f:
cfg = json.load(f)
except json.JSONDecodeError:
print(f"[!] {CONFIG_FILE} 格式损坏,将使用默认配置")
cfg = {}
# db_dir 缺失或仍为模板值时,尝试自动检测
db_dir = cfg.get("db_dir", "")
if not db_dir or db_dir == _DEFAULT_TEMPLATE_DIR or "your_wxid" in db_dir:
detected = auto_detect_db_dir()
if detected:
print(f"[+] 自动检测到微信数据目录: {detected}")
cfg = {**_DEFAULT, **cfg, "db_dir": detected}
with open(CONFIG_FILE, "w") as f:
json.dump(cfg, f, indent=4, ensure_ascii=False)
print(f"[+] 已保存到: {CONFIG_FILE}")
else:
if not os.path.exists(CONFIG_FILE):
with open(CONFIG_FILE, "w") as f:
json.dump(_DEFAULT, f, indent=4, ensure_ascii=False)
print(f"[!] 未能自动检测微信数据目录")
print(f" 请手动编辑 {CONFIG_FILE} 中的 db_dir 字段")
if _SYSTEM == "linux":
print(" Linux 默认路径类似: ~/Documents/xwechat_files/<wxid>/db_storage")
else:
print(f" 路径可在 微信设置 → 文件管理 中找到")
sys.exit(1)
else:
cfg = {**_DEFAULT, **cfg}
# 将相对路径转为绝对路径
base = os.path.dirname(os.path.abspath(__file__))
for key in ("keys_file", "decrypted_dir", "decoded_image_dir"):
if key in cfg and not os.path.isabs(cfg[key]):
cfg[key] = os.path.join(base, cfg[key])
# 自动推导微信数据根目录db_dir 的上级目录)
# db_dir 格式: D:\xwechat_files\<wxid>\db_storage
# base_dir 格式: D:\xwechat_files\<wxid>
db_dir = cfg.get("db_dir", "")
if db_dir and os.path.basename(db_dir) == "db_storage":
cfg["wechat_base_dir"] = os.path.dirname(db_dir)
else:
cfg["wechat_base_dir"] = db_dir
# decoded_image_dir 默认值
if "decoded_image_dir" not in cfg:
cfg["decoded_image_dir"] = os.path.join(base, "decoded_images")
return cfg

View File

@ -7,7 +7,7 @@ WeChat 4.0 数据库解密器
"""
import hashlib, struct, os, sys, json
import hmac as hmac_mod
from Crypto.Cipher import AES
from Crypto.Cipher import AES
import functools
print = functools.partial(print, flush=True)
@ -20,11 +20,12 @@ HMAC_SZ = 64
RESERVE_SZ = 80 # IV(16) + HMAC(64)
SQLITE_HDR = b'SQLite format 3\x00'
from config import load_config
_cfg = load_config()
DB_DIR = _cfg["db_dir"]
OUT_DIR = _cfg["decrypted_dir"]
KEYS_FILE = _cfg["keys_file"]
from config import load_config
from key_utils import get_key_info, strip_key_metadata
_cfg = load_config()
DB_DIR = _cfg["db_dir"]
OUT_DIR = _cfg["decrypted_dir"]
KEYS_FILE = _cfg["keys_file"]
def derive_mac_key(enc_key, salt):
@ -115,13 +116,13 @@ def main():
print("请先运行 find_all_keys.py")
sys.exit(1)
with open(KEYS_FILE) as f:
keys = json.load(f)
keys.pop("_db_dir", None)
print(f"\n加载 {len(keys)} 个数据库密钥")
print(f"输出目录: {OUT_DIR}")
os.makedirs(OUT_DIR, exist_ok=True)
with open(KEYS_FILE) as f:
keys = json.load(f)
keys = strip_key_metadata(keys)
print(f"\n加载 {len(keys)} 个数据库密钥")
print(f"输出目录: {OUT_DIR}")
os.makedirs(OUT_DIR, exist_ok=True)
# 收集所有DB文件
db_files = []
@ -129,7 +130,7 @@ def main():
for f in files:
if f.endswith('.db') and not f.endswith('-wal') and not f.endswith('-shm'):
path = os.path.join(root, f)
rel = os.path.relpath(path, DB_DIR).replace('\\', '/')
rel = os.path.relpath(path, DB_DIR)
sz = os.path.getsize(path)
db_files.append((rel, path, sz))
@ -141,16 +142,15 @@ def main():
failed = 0
total_bytes = 0
for rel, path, sz in db_files:
# 统一用正斜杠查找key
rel_key = rel.replace('\\', '/')
if rel_key not in keys:
print(f"SKIP: {rel} (无密钥)")
failed += 1
continue
enc_key = bytes.fromhex(keys[rel_key]["enc_key"])
out_path = os.path.join(OUT_DIR, rel)
for rel, path, sz in db_files:
key_info = get_key_info(keys, rel)
if not key_info:
print(f"SKIP: {rel} (无密钥)")
failed += 1
continue
enc_key = bytes.fromhex(key_info["enc_key"])
out_path = os.path.join(OUT_DIR, rel)
print(f"解密: {rel} ({sz/1024/1024:.1f}MB) ...", end=" ")

View File

@ -1,275 +1,34 @@
"""
从微信进程内存中提取所有数据库的缓存raw key
WCDB为每个DB缓存: x'<64hex_enc_key><32hex_salt>'
salt嵌在hex字符串中可以直接匹配DB文件的salt
"""
import ctypes
import ctypes.wintypes as wt
import struct, os, sys, hashlib, time, re, json
import hmac as hmac_mod
from Crypto.Cipher import AES
import functools
print = functools.partial(print, flush=True)
kernel32 = ctypes.windll.kernel32
MEM_COMMIT = 0x1000
READABLE = {0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80}
PAGE_SZ = 4096
KEY_SZ = 32
SALT_SZ = 16
from config import load_config
_cfg = load_config()
DB_DIR = _cfg["db_dir"]
OUT_FILE = _cfg["keys_file"]
class MBI(ctypes.Structure):
_fields_ = [
("BaseAddress", ctypes.c_uint64), ("AllocationBase", ctypes.c_uint64),
("AllocationProtect", wt.DWORD), ("_pad1", wt.DWORD),
("RegionSize", ctypes.c_uint64), ("State", wt.DWORD),
("Protect", wt.DWORD), ("Type", wt.DWORD), ("_pad2", wt.DWORD),
]
def get_pids():
"""返回所有 Weixin.exe 进程的 (pid, mem_kb) 列表,按内存降序"""
import subprocess
r = subprocess.run(["tasklist","/FI","IMAGENAME eq Weixin.exe","/FO","CSV","/NH"],
capture_output=True, text=True)
pids = []
for line in r.stdout.strip().split('\n'):
if not line.strip(): continue
p = line.strip('"').split('","')
if len(p)>=5:
pid=int(p[1]); mem=int(p[4].replace(',','').replace(' K','').strip() or '0')
pids.append((pid, mem))
if not pids: raise RuntimeError("Weixin.exe 未运行")
pids.sort(key=lambda x: x[1], reverse=True)
for pid, mem in pids:
print(f"[+] Weixin.exe PID={pid} ({mem//1024}MB)")
return pids
def read_mem(h, addr, sz):
buf = ctypes.create_string_buffer(sz)
n = ctypes.c_size_t(0)
if kernel32.ReadProcessMemory(h, ctypes.c_uint64(addr), buf, sz, ctypes.byref(n)):
return buf.raw[:n.value]
return None
def enum_regions(h):
regs = []
addr = 0
mbi = MBI()
while addr < 0x7FFFFFFFFFFF:
if kernel32.VirtualQueryEx(h, ctypes.c_uint64(addr), ctypes.byref(mbi), ctypes.sizeof(mbi))==0: break
if mbi.State==MEM_COMMIT and mbi.Protect in READABLE and 0<mbi.RegionSize<500*1024*1024:
regs.append((mbi.BaseAddress, mbi.RegionSize))
nxt = mbi.BaseAddress + mbi.RegionSize
if nxt<=addr: break
addr = nxt
return regs
def verify_key_for_db(enc_key, db_page1):
"""验证enc_key是否能解密这个DB的page 1"""
salt = db_page1[:SALT_SZ]
iv = db_page1[PAGE_SZ - 80 : PAGE_SZ - 64]
encrypted = db_page1[SALT_SZ : PAGE_SZ - 80]
# HMAC验证 (最可靠)
mac_salt = bytes(b ^ 0x3a for b in salt)
mac_key = hashlib.pbkdf2_hmac("sha512", enc_key, mac_salt, 2, dklen=KEY_SZ)
hmac_data = db_page1[SALT_SZ : PAGE_SZ - 80 + 16]
stored_hmac = db_page1[PAGE_SZ - 64 : PAGE_SZ]
h = hmac_mod.new(mac_key, hmac_data, hashlib.sha512)
h.update(struct.pack('<I', 1))
return h.digest() == stored_hmac
def main():
print("=" * 60)
print(" 提取所有微信数据库密钥")
print("=" * 60)
# 1. 收集所有DB文件及其salt
db_files = []
salt_to_dbs = {} # salt_hex -> [(rel_path, db_page1), ...]
for root, dirs, files in os.walk(DB_DIR):
for f in files:
if f.endswith('.db') and not f.endswith('-wal') and not f.endswith('-shm'):
path = os.path.join(root, f)
rel = os.path.relpath(path, DB_DIR).replace('\\', '/')
sz = os.path.getsize(path)
if sz < PAGE_SZ:
continue
with open(path, 'rb') as fh:
page1 = fh.read(PAGE_SZ)
salt = page1[:SALT_SZ].hex()
db_files.append((rel, path, sz, salt, page1))
if salt not in salt_to_dbs:
salt_to_dbs[salt] = []
salt_to_dbs[salt].append(rel)
print(f"\n找到 {len(db_files)} 个数据库, {len(salt_to_dbs)} 个不同的salt")
for salt_hex, dbs in sorted(salt_to_dbs.items(), key=lambda x: len(x[1]), reverse=True):
print(f" salt {salt_hex}: {', '.join(dbs)}")
# 2. 打开所有微信进程
pids = get_pids()
hex_re = re.compile(b"x'([0-9a-fA-F]{64,192})'")
key_map = {} # salt_hex -> enc_key_hex
remaining_salts = set(salt_to_dbs.keys())
all_hex_matches = 0
t0 = time.time()
for proc_idx, (pid, mem) in enumerate(pids):
h = kernel32.OpenProcess(0x0010 | 0x0400, False, pid)
if not h:
print(f"[WARN] 无法打开进程 PID={pid},跳过")
continue
try:
regions = enum_regions(h)
total_bytes = sum(s for _,s in regions)
total_mb = total_bytes/1024/1024
print(f"\n[*] 扫描 PID={pid} ({total_mb:.0f}MB, {len(regions)} 区域)")
scanned_bytes = 0
for reg_idx, (base, size) in enumerate(regions):
data = read_mem(h, base, size)
scanned_bytes += size
if not data: continue
for m in hex_re.finditer(data):
hex_str = m.group(1).decode()
addr = base + m.start()
all_hex_matches += 1
hex_len = len(hex_str)
if hex_len == 96:
enc_key_hex = hex_str[:64]
salt_hex = hex_str[64:]
if salt_hex in remaining_salts:
enc_key = bytes.fromhex(enc_key_hex)
for rel, path, sz, s, page1 in db_files:
if s == salt_hex:
if verify_key_for_db(enc_key, page1):
key_map[salt_hex] = enc_key_hex
remaining_salts.discard(salt_hex)
dbs = salt_to_dbs[salt_hex]
print(f"\n [FOUND] salt={salt_hex}")
print(f" enc_key={enc_key_hex}")
print(f" PID={pid} 地址: 0x{addr:016X}")
print(f" 数据库: {', '.join(dbs)}")
break
elif hex_len == 64:
if not remaining_salts:
continue
enc_key_hex = hex_str
enc_key = bytes.fromhex(enc_key_hex)
for rel, path, sz, salt_hex_db, page1 in db_files:
if salt_hex_db in remaining_salts:
if verify_key_for_db(enc_key, page1):
key_map[salt_hex_db] = enc_key_hex
remaining_salts.discard(salt_hex_db)
dbs = salt_to_dbs[salt_hex_db]
print(f"\n [FOUND] salt={salt_hex_db}")
print(f" enc_key={enc_key_hex}")
print(f" PID={pid} 地址: 0x{addr:016X}")
print(f" 数据库: {', '.join(dbs)}")
break
elif hex_len > 96 and hex_len % 2 == 0:
enc_key_hex = hex_str[:64]
salt_hex = hex_str[-32:]
if salt_hex in remaining_salts:
enc_key = bytes.fromhex(enc_key_hex)
for rel, path, sz, s, page1 in db_files:
if s == salt_hex:
if verify_key_for_db(enc_key, page1):
key_map[salt_hex] = enc_key_hex
remaining_salts.discard(salt_hex)
dbs = salt_to_dbs[salt_hex]
print(f"\n [FOUND] salt={salt_hex} (long hex {hex_len})")
print(f" enc_key={enc_key_hex}")
print(f" PID={pid} 地址: 0x{addr:016X}")
print(f" 数据库: {', '.join(dbs)}")
break
if (reg_idx + 1) % 200 == 0:
elapsed = time.time() - t0
progress = scanned_bytes / total_bytes * 100 if total_bytes else 100
print(f" [{progress:.1f}%] {len(key_map)}/{len(salt_to_dbs)} salts matched, "
f"{all_hex_matches} hex patterns, {elapsed:.1f}s")
finally:
kernel32.CloseHandle(h)
# 所有 salt 都找到了就提前退出
if not remaining_salts:
print(f"\n[+] 所有密钥已找到,跳过剩余进程")
break
elapsed = time.time() - t0
print(f"\n扫描完成: {elapsed:.1f}s, {len(pids)} 个进程, {all_hex_matches} hex模式")
# 4. 如果有未找到的salt用已找到的key做交叉验证
# (WCDB有时对同一passphrase的不同DB用同一enc_key如果salt相同)
missing_salts = set(salt_to_dbs.keys()) - set(key_map.keys())
if missing_salts and key_map:
print(f"\n还有 {len(missing_salts)} 个salt未匹配尝试交叉验证...")
for salt_hex in list(missing_salts):
for rel, path, sz, s, page1 in db_files:
if s == salt_hex:
for known_salt, known_key_hex in key_map.items():
enc_key = bytes.fromhex(known_key_hex)
if verify_key_for_db(enc_key, page1):
key_map[salt_hex] = known_key_hex
print(f" [CROSS] salt={salt_hex} 可用 key from salt={known_salt}")
missing_salts.discard(salt_hex)
break
# 5. 输出结果
print(f"\n{'='*60}")
print(f"结果: {len(key_map)}/{len(salt_to_dbs)} salts 找到密钥")
result = {}
for rel, path, sz, salt_hex, page1 in db_files:
if salt_hex in key_map:
result[rel] = {
"enc_key": key_map[salt_hex],
"salt": salt_hex,
"size_mb": round(sz/1024/1024, 1)
}
print(f" OK: {rel} ({sz/1024/1024:.1f}MB)")
else:
print(f" MISSING: {rel} (salt={salt_hex})")
if not result:
print(f"\n[!] 未提取到任何密钥,保留已有的 {OUT_FILE}(如存在)")
raise RuntimeError("未能从任何微信进程中提取到密钥")
# 写入密钥并记录对应的 db_dir防止切换账号后误复用
result["_db_dir"] = DB_DIR
with open(OUT_FILE, 'w') as f:
json.dump(result, f, indent=2)
print(f"\n密钥保存到: {OUT_FILE}")
missing = [rel for rel, path, sz, salt_hex, page1 in db_files if salt_hex not in key_map]
if missing:
print(f"\n未找到密钥的数据库:")
for rel in missing:
print(f" {rel}")
if __name__ == '__main__':
try:
main()
except RuntimeError as e:
print(f"\n[ERROR] {e}")
sys.exit(1)
import functools
import platform
import sys
@functools.lru_cache(maxsize=1)
def _load_impl():
system = platform.system().lower()
if system == "windows":
import find_all_keys_windows as impl
return impl
if system == "linux":
import find_all_keys_linux as impl
return impl
raise RuntimeError(
f"当前平台暂不支持通过 find_all_keys.py 提取密钥: {platform.system()}\n"
f"macOS 请使用 find_all_keys_macos.c (C 版扫描器)"
)
def get_pids():
return _load_impl().get_pids()
def main():
return _load_impl().main()
if __name__ == "__main__":
try:
main()
except RuntimeError as exc:
print(f"\n[ERROR] {exc}")
sys.exit(1)

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"""
Linux 版微信数据库密钥提取
原理: Windows/macOS 相同 扫描微信进程内存查找
WCDB 缓存的 x'<64hex_enc_key><32hex_salt>' 模式
通过匹配数据库 salt + HMAC 校验确认密钥
读取方式: /proc/<pid>/maps + /proc/<pid>/mem
权限要求: root CAP_SYS_PTRACE
"""
import functools
import os
import re
import sys
import time
from key_scan_common import (
collect_db_files, scan_memory_for_keys, cross_verify_keys, save_results,
)
print = functools.partial(print, flush=True)
def _safe_readlink(path):
try:
return os.path.realpath(os.readlink(path))
except OSError:
return ""
_KNOWN_COMMS = {"wechat", "wechatappex", "weixin"}
_INTERPRETER_PREFIXES = ("python", "bash", "sh", "zsh", "node", "perl", "ruby")
def _is_wechat_process(pid):
"""检查 pid 是否为微信进程。
优先精确匹配 comm 名称wechatWeChatAppEx
再用 exe 路径子串匹配作为 fallback同时排除解释器进程
"""
if pid == os.getpid():
return False
try:
with open(f"/proc/{pid}/comm") as f:
comm = f.read().strip()
# 优先精确匹配 comm最可靠
if comm.lower() in _KNOWN_COMMS:
return True
exe_path = _safe_readlink(f"/proc/{pid}/exe")
exe_name = os.path.basename(exe_path)
# 排除脚本解释器进程(避免匹配 python3.11 wechat-decrypt 等)
if any(exe_name.lower().startswith(p) for p in _INTERPRETER_PREFIXES):
return False
# fallback: exe 名称子串匹配
return "wechat" in exe_name.lower() or "weixin" in exe_name.lower()
except (PermissionError, FileNotFoundError, ProcessLookupError):
return False
def get_pids():
"""返回所有疑似微信主进程的 (pid, rss_kb) 列表,按内存降序。"""
pids = []
for pid_str in os.listdir("/proc"):
if not pid_str.isdigit():
continue
pid = int(pid_str)
try:
if not _is_wechat_process(pid):
continue
with open(f"/proc/{pid}/statm") as f:
rss_pages = int(f.read().split()[1])
rss_kb = rss_pages * 4
pids.append((pid, rss_kb))
except (PermissionError, FileNotFoundError, ProcessLookupError):
continue
if not pids:
raise RuntimeError("未检测到 Linux 微信进程")
pids.sort(key=lambda item: item[1], reverse=True)
for pid, rss_kb in pids:
exe_path = _safe_readlink(f"/proc/{pid}/exe")
print(f"[+] WeChat PID={pid} ({rss_kb // 1024}MB) {exe_path}")
return pids
_SKIP_MAPPINGS = {"[vdso]", "[vsyscall]", "[vvar]"}
_SKIP_PATH_PREFIXES = ("/usr/lib/", "/lib/", "/usr/share/")
def _get_readable_regions(pid):
"""解析 /proc/<pid>/maps返回可读内存区域列表。
跳过 [vdso][vsyscall] 等特殊映射和系统库映射
聚焦匿名映射和堆区WCDB 密钥缓存所在位置
"""
regions = []
with open(f"/proc/{pid}/maps") as f:
for line in f:
parts = line.split()
if len(parts) < 2:
continue
if "r" not in parts[1]:
continue
# 跳过特殊映射和无关系统库,但保留 wcdb/wechat 相关库
if len(parts) >= 6:
mapping_name = parts[5]
if mapping_name in _SKIP_MAPPINGS:
continue
mapping_lower = mapping_name.lower()
if (any(mapping_name.startswith(p) for p in _SKIP_PATH_PREFIXES)
and "wcdb" not in mapping_lower
and "wechat" not in mapping_lower
and "weixin" not in mapping_lower):
continue
start_s, end_s = parts[0].split("-")
start = int(start_s, 16)
size = int(end_s, 16) - start
if 0 < size < 500 * 1024 * 1024:
regions.append((start, size))
return regions
def _check_permissions():
"""检查是否有读取进程内存的权限root 或 CAP_SYS_PTRACE"""
if os.geteuid() == 0:
return
# 检查 CAP_SYS_PTRACE: 读取 /proc/self/status 中的 CapEff
try:
with open("/proc/self/status") as f:
for line in f:
if line.startswith("CapEff:"):
cap_eff = int(line.split(":")[1].strip(), 16)
CAP_SYS_PTRACE = 1 << 19
if cap_eff & CAP_SYS_PTRACE:
return
break
except (OSError, ValueError):
pass
print("[!] 需要 root 权限或 CAP_SYS_PTRACE 才能读取进程内存")
print(" 请使用: sudo python3 find_all_keys.py")
print(" 或授予 capability: sudo setcap cap_sys_ptrace=ep $(which python3)")
sys.exit(1)
def main():
from config import load_config
_cfg = load_config()
db_dir = _cfg["db_dir"]
out_file = _cfg["keys_file"]
_check_permissions()
print("=" * 60)
print(" 提取 Linux 微信数据库密钥(内存扫描)")
print("=" * 60)
# 1. 收集 DB 文件和 salt
db_files, salt_to_dbs = collect_db_files(db_dir)
if not db_files:
raise RuntimeError(f"{db_dir} 未找到可解密的 .db 文件")
print(f"\n找到 {len(db_files)} 个数据库, {len(salt_to_dbs)} 个不同的 salt")
for salt_hex, dbs in sorted(salt_to_dbs.items(), key=lambda x: len(x[1]), reverse=True):
print(f" salt {salt_hex}: {', '.join(dbs)}")
# 2. 找到微信进程
pids = get_pids()
hex_re = re.compile(rb"x'([0-9a-fA-F]{64,192})'")
key_map = {} # salt_hex -> enc_key_hex
remaining_salts = set(salt_to_dbs.keys())
all_hex_matches = 0
t0 = time.time()
for pid, rss_kb in pids:
try:
regions = _get_readable_regions(pid)
except PermissionError:
print(f"[WARN] 无法读取 /proc/{pid}/maps权限不足跳过")
continue
except (FileNotFoundError, ProcessLookupError):
print(f"[WARN] PID {pid} 已退出,跳过")
continue
total_bytes = sum(s for _, s in regions)
total_mb = total_bytes / 1024 / 1024
print(f"\n[*] 扫描 PID={pid} ({total_mb:.0f}MB, {len(regions)} 区域)")
scanned_bytes = 0
try:
mem = open(f"/proc/{pid}/mem", "rb")
except PermissionError:
print(f"[WARN] 无法打开 /proc/{pid}/mem权限不足跳过")
continue
except (FileNotFoundError, ProcessLookupError):
print(f"[WARN] PID {pid} 已退出,跳过")
continue
# 防御 TOCTOU: 打开 mem 后再次确认仍为微信进程
if not _is_wechat_process(pid):
print(f"[WARN] PID {pid} 已不是微信进程,跳过")
mem.close()
continue
try:
for reg_idx, (base, size) in enumerate(regions):
try:
mem.seek(base)
data = mem.read(size)
except (OSError, ValueError):
continue
scanned_bytes += len(data)
all_hex_matches += scan_memory_for_keys(
data, hex_re, db_files, salt_to_dbs,
key_map, remaining_salts, base, pid, print,
)
if (reg_idx + 1) % 200 == 0:
elapsed = time.time() - t0
progress = scanned_bytes / total_bytes * 100 if total_bytes else 100
print(
f" [{progress:.1f}%] {len(key_map)}/{len(salt_to_dbs)} salts matched, "
f"{all_hex_matches} hex patterns, {elapsed:.1f}s"
)
finally:
mem.close()
if not remaining_salts:
print(f"\n[+] 所有密钥已找到,跳过剩余进程")
break
elapsed = time.time() - t0
print(f"\n扫描完成: {elapsed:.1f}s, {len(pids)} 个进程, {all_hex_matches} hex 模式")
cross_verify_keys(db_files, salt_to_dbs, key_map, print)
save_results(db_files, salt_to_dbs, key_map, db_dir, out_file, print)
if __name__ == "__main__":
try:
main()
except RuntimeError as exc:
print(f"\n[ERROR] {exc}")
sys.exit(1)

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"""
从微信进程内存中提取所有数据库的缓存raw key
WCDB为每个DB缓存: x'<64hex_enc_key><32hex_salt>'
salt嵌在hex字符串中可以直接匹配DB文件的salt
"""
import ctypes
import ctypes.wintypes as wt
import os, sys, time, re
import functools
print = functools.partial(print, flush=True)
from key_scan_common import (
collect_db_files, scan_memory_for_keys, cross_verify_keys, save_results,
)
kernel32 = ctypes.windll.kernel32
MEM_COMMIT = 0x1000
READABLE = {0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80}
class MBI(ctypes.Structure):
_fields_ = [
("BaseAddress", ctypes.c_uint64), ("AllocationBase", ctypes.c_uint64),
("AllocationProtect", wt.DWORD), ("_pad1", wt.DWORD),
("RegionSize", ctypes.c_uint64), ("State", wt.DWORD),
("Protect", wt.DWORD), ("Type", wt.DWORD), ("_pad2", wt.DWORD),
]
def get_pids():
"""返回所有 Weixin.exe 进程的 (pid, mem_kb) 列表,按内存降序"""
import subprocess
r = subprocess.run(["tasklist", "/FI", "IMAGENAME eq Weixin.exe", "/FO", "CSV", "/NH"],
capture_output=True, text=True)
pids = []
for line in r.stdout.strip().split('\n'):
if not line.strip():
continue
p = line.strip('"').split('","')
if len(p) >= 5:
pid = int(p[1])
mem = int(p[4].replace(',', '').replace(' K', '').strip() or '0')
pids.append((pid, mem))
if not pids:
raise RuntimeError("Weixin.exe 未运行")
pids.sort(key=lambda x: x[1], reverse=True)
for pid, mem in pids:
print(f"[+] Weixin.exe PID={pid} ({mem // 1024}MB)")
return pids
def read_mem(h, addr, sz):
buf = ctypes.create_string_buffer(sz)
n = ctypes.c_size_t(0)
if kernel32.ReadProcessMemory(h, ctypes.c_uint64(addr), buf, sz, ctypes.byref(n)):
return buf.raw[:n.value]
return None
def enum_regions(h):
regs = []
addr = 0
mbi = MBI()
while addr < 0x7FFFFFFFFFFF:
if kernel32.VirtualQueryEx(h, ctypes.c_uint64(addr), ctypes.byref(mbi), ctypes.sizeof(mbi)) == 0:
break
if mbi.State == MEM_COMMIT and mbi.Protect in READABLE and 0 < mbi.RegionSize < 500 * 1024 * 1024:
regs.append((mbi.BaseAddress, mbi.RegionSize))
nxt = mbi.BaseAddress + mbi.RegionSize
if nxt <= addr:
break
addr = nxt
return regs
def main():
from config import load_config
_cfg = load_config()
db_dir = _cfg["db_dir"]
out_file = _cfg["keys_file"]
print("=" * 60)
print(" 提取所有微信数据库密钥")
print("=" * 60)
# 1. 收集所有DB文件及其salt
db_files, salt_to_dbs = collect_db_files(db_dir)
print(f"\n找到 {len(db_files)} 个数据库, {len(salt_to_dbs)} 个不同的salt")
for salt_hex, dbs in sorted(salt_to_dbs.items(), key=lambda x: len(x[1]), reverse=True):
print(f" salt {salt_hex}: {', '.join(dbs)}")
# 2. 打开所有微信进程
pids = get_pids()
hex_re = re.compile(b"x'([0-9a-fA-F]{64,192})'")
key_map = {}
remaining_salts = set(salt_to_dbs.keys())
all_hex_matches = 0
t0 = time.time()
for pid, mem_kb in pids:
h = kernel32.OpenProcess(0x0010 | 0x0400, False, pid)
if not h:
print(f"[WARN] 无法打开进程 PID={pid},跳过")
continue
try:
regions = enum_regions(h)
total_bytes = sum(s for _, s in regions)
total_mb = total_bytes / 1024 / 1024
print(f"\n[*] 扫描 PID={pid} ({total_mb:.0f}MB, {len(regions)} 区域)")
scanned_bytes = 0
for reg_idx, (base, size) in enumerate(regions):
data = read_mem(h, base, size)
scanned_bytes += size
if not data:
continue
all_hex_matches += scan_memory_for_keys(
data, hex_re, db_files, salt_to_dbs,
key_map, remaining_salts, base, pid, print,
)
if (reg_idx + 1) % 200 == 0:
elapsed = time.time() - t0
progress = scanned_bytes / total_bytes * 100 if total_bytes else 100
print(
f" [{progress:.1f}%] {len(key_map)}/{len(salt_to_dbs)} salts matched, "
f"{all_hex_matches} hex patterns, {elapsed:.1f}s"
)
finally:
kernel32.CloseHandle(h)
if not remaining_salts:
print(f"\n[+] 所有密钥已找到,跳过剩余进程")
break
elapsed = time.time() - t0
print(f"\n扫描完成: {elapsed:.1f}s, {len(pids)} 个进程, {all_hex_matches} hex模式")
cross_verify_keys(db_files, salt_to_dbs, key_map, print)
save_results(db_files, salt_to_dbs, key_map, db_dir, out_file, print)
if __name__ == '__main__':
try:
main()
except RuntimeError as e:
print(f"\n[ERROR] {e}")
sys.exit(1)

169
key_scan_common.py 100644
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@ -0,0 +1,169 @@
"""
跨平台共享的内存扫描逻辑HMAC 验证DB 收集hex 模式匹配与结果输出
Windows / Linux 版分别实现进程发现和内存读取共用此模块的核心算法
"""
import hashlib
import hmac as hmac_mod
import json
import os
import re
import struct
import time
PAGE_SZ = 4096
KEY_SZ = 32
SALT_SZ = 16
def verify_enc_key(enc_key, db_page1):
"""通过 HMAC-SHA512 校验 page 1 验证 enc_key 是否正确。"""
salt = db_page1[:SALT_SZ]
mac_salt = bytes(b ^ 0x3A for b in salt)
mac_key = hashlib.pbkdf2_hmac("sha512", enc_key, mac_salt, 2, dklen=KEY_SZ)
hmac_data = db_page1[SALT_SZ: PAGE_SZ - 80 + 16]
stored_hmac = db_page1[PAGE_SZ - 64: PAGE_SZ]
hm = hmac_mod.new(mac_key, hmac_data, hashlib.sha512)
hm.update(struct.pack("<I", 1))
return hm.digest() == stored_hmac
def collect_db_files(db_dir):
"""遍历 db_dir 收集所有 .db 文件及其 salt。
返回 (db_files, salt_to_dbs):
db_files: [(rel_path, abs_path, size, salt_hex, page1_bytes), ...]
salt_to_dbs: {salt_hex: [rel_path, ...]}
"""
db_files = []
salt_to_dbs = {}
for root, dirs, files in os.walk(db_dir):
for name in files:
if not name.endswith(".db") or name.endswith("-wal") or name.endswith("-shm"):
continue
path = os.path.join(root, name)
size = os.path.getsize(path)
if size < PAGE_SZ:
continue
with open(path, "rb") as f:
page1 = f.read(PAGE_SZ)
rel = os.path.relpath(path, db_dir)
salt = page1[:SALT_SZ].hex()
db_files.append((rel, path, size, salt, page1))
salt_to_dbs.setdefault(salt, []).append(rel)
return db_files, salt_to_dbs
def scan_memory_for_keys(data, hex_re, db_files, salt_to_dbs, key_map,
remaining_salts, base_addr, pid, print_fn):
"""扫描一段内存数据,匹配 hex 模式并验证密钥。
返回本次扫描匹配到的 hex 模式数量
"""
matches = 0
for m in hex_re.finditer(data):
hex_str = m.group(1).decode()
addr = base_addr + m.start()
matches += 1
hex_len = len(hex_str)
if hex_len == 96:
enc_key_hex = hex_str[:64]
salt_hex = hex_str[64:]
if salt_hex in remaining_salts:
enc_key = bytes.fromhex(enc_key_hex)
for rel, path, sz, s, page1 in db_files:
if s == salt_hex and verify_enc_key(enc_key, page1):
key_map[salt_hex] = enc_key_hex
remaining_salts.discard(salt_hex)
dbs = salt_to_dbs[salt_hex]
print_fn(f"\n [FOUND] salt={salt_hex}")
print_fn(f" enc_key={enc_key_hex}")
print_fn(f" PID={pid} 地址: 0x{addr:016X}")
print_fn(f" 数据库: {', '.join(dbs)}")
break
elif hex_len == 64:
if not remaining_salts:
continue
enc_key_hex = hex_str
enc_key = bytes.fromhex(enc_key_hex)
for rel, path, sz, salt_hex_db, page1 in db_files:
if salt_hex_db in remaining_salts and verify_enc_key(enc_key, page1):
key_map[salt_hex_db] = enc_key_hex
remaining_salts.discard(salt_hex_db)
dbs = salt_to_dbs[salt_hex_db]
print_fn(f"\n [FOUND] salt={salt_hex_db}")
print_fn(f" enc_key={enc_key_hex}")
print_fn(f" PID={pid} 地址: 0x{addr:016X}")
print_fn(f" 数据库: {', '.join(dbs)}")
break
elif hex_len > 96 and hex_len % 2 == 0:
enc_key_hex = hex_str[:64]
salt_hex = hex_str[-32:]
if salt_hex in remaining_salts:
enc_key = bytes.fromhex(enc_key_hex)
for rel, path, sz, s, page1 in db_files:
if s == salt_hex and verify_enc_key(enc_key, page1):
key_map[salt_hex] = enc_key_hex
remaining_salts.discard(salt_hex)
dbs = salt_to_dbs[salt_hex]
print_fn(f"\n [FOUND] salt={salt_hex} (long hex {hex_len})")
print_fn(f" enc_key={enc_key_hex}")
print_fn(f" PID={pid} 地址: 0x{addr:016X}")
print_fn(f" 数据库: {', '.join(dbs)}")
break
return matches
def cross_verify_keys(db_files, salt_to_dbs, key_map, print_fn):
"""用已找到的 key 交叉验证未匹配的 salt。"""
missing_salts = set(salt_to_dbs.keys()) - set(key_map.keys())
if not missing_salts or not key_map:
return
print_fn(f"\n还有 {len(missing_salts)} 个 salt 未匹配,尝试交叉验证...")
for salt_hex in list(missing_salts):
for rel, path, sz, s, page1 in db_files:
if s == salt_hex:
for known_salt, known_key_hex in key_map.items():
enc_key = bytes.fromhex(known_key_hex)
if verify_enc_key(enc_key, page1):
key_map[salt_hex] = known_key_hex
print_fn(f" [CROSS] salt={salt_hex} 可用 key from salt={known_salt}")
missing_salts.discard(salt_hex)
break
def save_results(db_files, salt_to_dbs, key_map, db_dir, out_file, print_fn):
"""输出扫描结果并保存 JSON。"""
print_fn(f"\n{'=' * 60}")
print_fn(f"结果: {len(key_map)}/{len(salt_to_dbs)} salts 找到密钥")
result = {}
for rel, path, sz, salt_hex, page1 in db_files:
if salt_hex in key_map:
result[rel] = {
"enc_key": key_map[salt_hex],
"salt": salt_hex,
"size_mb": round(sz / 1024 / 1024, 1)
}
print_fn(f" OK: {rel} ({sz / 1024 / 1024:.1f}MB)")
else:
print_fn(f" MISSING: {rel} (salt={salt_hex})")
if not result:
print_fn(f"\n[!] 未提取到任何密钥,保留已有的 {out_file}(如存在)")
raise RuntimeError("未能从任何微信进程中提取到密钥")
result["_db_dir"] = db_dir
with open(out_file, 'w', encoding='utf-8') as f:
json.dump(result, f, indent=2, ensure_ascii=False)
print_fn(f"\n密钥保存到: {out_file}")
missing = [rel for rel, path, sz, salt_hex, page1 in db_files if salt_hex not in key_map]
if missing:
print_fn(f"\n未找到密钥的数据库:")
for rel in missing:
print_fn(f" {rel}")

38
key_utils.py 100644
View File

@ -0,0 +1,38 @@
import os
import posixpath
def strip_key_metadata(keys):
"""移除 all_keys.json 中以下划线开头的元数据字段,返回新 dict。"""
return {k: v for k, v in keys.items() if not k.startswith("_")}
def _is_safe_rel_path(path):
"""检查路径不包含 .. 等遍历组件。"""
normalized = path.replace("\\", "/")
return ".." not in posixpath.normpath(normalized).split("/")
def key_path_variants(rel_path):
"""生成同一路径的多种分隔符表示,兼容 Windows/Linux JSON key。"""
normalized = rel_path.replace("\\", "/")
variants = []
for candidate in (
rel_path,
normalized,
normalized.replace("/", "\\"),
normalized.replace("/", os.sep),
):
if candidate not in variants:
variants.append(candidate)
return variants
def get_key_info(keys, rel_path):
"""按相对路径查找数据库密钥,自动兼容不同平台分隔符。"""
if not _is_safe_rel_path(rel_path):
return None
for candidate in key_path_variants(rel_path):
if candidate in keys and not candidate.startswith("_"):
return keys[candidate]
return None

View File

@ -11,6 +11,8 @@ import sys
import functools
print = functools.partial(print, flush=True)
from key_utils import strip_key_metadata
def check_wechat_running():
"""检查微信是否在运行,返回 True/False"""
@ -37,6 +39,7 @@ def ensure_keys(keys_file, db_dir):
print(f" 旧: {saved_dir}")
print(f" 新: {db_dir}")
keys = {}
keys = strip_key_metadata(keys)
if keys:
print(f"[+] 已有 {len(keys)} 个数据库密钥")
return
@ -60,7 +63,7 @@ def ensure_keys(keys_file, db_dir):
keys = json.load(f)
except (json.JSONDecodeError, ValueError):
keys = {}
if not keys:
if not strip_key_metadata(keys):
print("[!] 未能提取到任何密钥")
print(" 可能原因:选择了错误的微信数据目录,或微信需要重启")
print(" 请检查 config.json 中的 db_dir 是否与当前登录的微信账号匹配")
@ -79,7 +82,7 @@ def main():
# 2. 检查微信进程
if not check_wechat_running():
print("[!] 未检测到微信进程 (Weixin.exe)")
print(f"[!] 未检测到微信进程 ({cfg.get('wechat_process', 'WeChat')})")
print(" 请先启动微信并登录,然后重新运行")
sys.exit(1)
print("[+] 微信进程运行中")

View File

@ -5,13 +5,14 @@ Based on FastMCP (stdio transport), reuses existing decryption.
Runs on Windows Python (needs access to D:\ WeChat databases).
"""
import os, sys, json, time, sqlite3, tempfile, struct, hashlib, atexit
import os, sys, json, time, sqlite3, tempfile, struct, hashlib, atexit, re
import hmac as hmac_mod
from datetime import datetime
from Crypto.Cipher import AES
from mcp.server.fastmcp import FastMCP
import zstandard as zstd
from decode_image import ImageResolver
from key_utils import get_key_info, key_path_variants, strip_key_metadata
# ============ 加密常量 ============
PAGE_SZ = 4096
@ -50,7 +51,7 @@ elif not os.path.isabs(DECODED_IMAGE_DIR):
DECODED_IMAGE_DIR = os.path.join(SCRIPT_DIR, DECODED_IMAGE_DIR)
with open(KEYS_FILE) as f:
ALL_KEYS = json.load(f)
ALL_KEYS = strip_key_metadata(json.load(f))
# ============ 解密函数 ============
@ -149,7 +150,7 @@ class DBCache:
tmp_path = info["path"]
if not os.path.exists(tmp_path):
continue
rel_path = rel_key.replace('/', os.sep)
rel_path = rel_key.replace('\\', os.sep)
db_path = os.path.join(DB_DIR, rel_path)
wal_path = db_path + "-wal"
try:
@ -175,9 +176,10 @@ class DBCache:
pass
def get(self, rel_key):
if rel_key not in ALL_KEYS:
key_info = get_key_info(ALL_KEYS, rel_key)
if not key_info:
return None
rel_path = rel_key.replace('/', os.sep)
rel_path = rel_key.replace('\\', '/').replace('/', os.sep)
db_path = os.path.join(DB_DIR, rel_path)
wal_path = db_path + "-wal"
if not os.path.exists(db_path):
@ -195,7 +197,7 @@ class DBCache:
return c_path
tmp_path = self._cache_path(rel_key)
enc_key = bytes.fromhex(ALL_KEYS[rel_key]["enc_key"])
enc_key = bytes.fromhex(key_info["enc_key"])
full_decrypt(db_path, tmp_path, enc_key)
if os.path.exists(wal_path):
decrypt_wal(wal_path, tmp_path, enc_key)
@ -248,7 +250,7 @@ def get_contact_names():
pass
# 实时解密
path = _cache.get("contact/contact.db")
path = _cache.get(os.path.join("contact", "contact.db"))
if path:
try:
_contact_names, _contact_full = _load_contacts_from(path)
@ -329,11 +331,12 @@ def _parse_message_content(content, local_type, is_group):
return sender, text
# 消息 DB 的 rel_keys排除 fts/resource/media/biz
# 消息 DB 的 rel_keys
# 用 message_\d+\.db$ 匹配,自然排除 message_resource.db / message_fts_*.db
MSG_DB_KEYS = sorted([
k for k in ALL_KEYS
if k.startswith("message/message_") and k.endswith(".db")
and "fts" not in k and "resource" not in k
if any(v.startswith("message/") for v in key_path_variants(k))
and any(re.search(r"message_\d+\.db$", v) for v in key_path_variants(k))
])
@ -379,7 +382,7 @@ def get_recent_sessions(limit: int = 20) -> str:
Args:
limit: 返回的会话数量默认20
"""
path = _cache.get("session/session.db")
path = _cache.get(os.path.join("session", "session.db"))
if not path:
return "错误: 无法解密 session.db"
@ -635,7 +638,7 @@ def get_new_messages() -> str:
"""获取自上次调用以来的新消息。首次调用返回最近的会话状态。"""
global _last_check_state
path = _cache.get("session/session.db")
path = _cache.get(os.path.join("session", "session.db"))
if not path:
return "错误: 无法解密 session.db"

View File

@ -7,8 +7,9 @@ session.db 包含每个聊天的最新消息摘要、发送者、时间戳
import hashlib, struct, os, sys, json, time, sqlite3, io
import hmac as hmac_mod
from datetime import datetime
from Crypto.Cipher import AES
import zstandard as zstd
from Crypto.Cipher import AES
import zstandard as zstd
from key_utils import get_key_info, strip_key_metadata
_zstd_dctx = zstd.ZstdDecompressor()
@ -148,13 +149,13 @@ def main():
print("=" * 60)
# 加载密钥
with open(KEYS_FILE) as f:
keys = json.load(f)
session_key_info = keys.get("session/session.db")
if not session_key_info:
print("[ERROR] 找不到session.db的密钥")
sys.exit(1)
with open(KEYS_FILE) as f:
keys = strip_key_metadata(json.load(f))
session_key_info = get_key_info(keys, os.path.join("session", "session.db"))
if not session_key_info:
print("[ERROR] 找不到session.db的密钥")
sys.exit(1)
enc_key = bytes.fromhex(session_key_info["enc_key"])
session_db = os.path.join(DB_DIR, "session", "session.db")

View File

@ -17,6 +17,7 @@ import urllib.parse
import glob as glob_mod
import zstandard as zstd
from decode_image import extract_md5_from_packed_info, decrypt_dat_file, is_v2_format
from key_utils import get_key_info, strip_key_metadata
_zstd_dctx = zstd.ZstdDecompressor()
@ -62,7 +63,7 @@ def _build_emoji_lookup(keys_dict):
"""从 emoticon.db 构建 emoji md5 → URL 映射(直接解密,不走 cache"""
global _emoji_lookup, _emoji_keys_dict, _emoji_last_refresh
_emoji_keys_dict = keys_dict
key_info = keys_dict.get("emoticon/emoticon.db")
key_info = get_key_info(keys_dict, os.path.join("emoticon", "emoticon.db"))
if not key_info:
print("[emoji] 无 emoticon.db key跳过", flush=True)
return
@ -254,13 +255,14 @@ class MonitorDBCache:
def get(self, rel_key):
"""返回解密后的临时文件路径mtime 变化时自动重新解密"""
if rel_key not in self.keys:
key_info = get_key_info(self.keys, rel_key)
if not key_info:
return None
lock = self._get_lock(rel_key)
with lock:
enc_key = bytes.fromhex(self.keys[rel_key]["enc_key"])
rel_path = rel_key.replace('/', os.sep)
enc_key = bytes.fromhex(key_info["enc_key"])
rel_path = rel_key.replace('\\', '/').replace('/', os.sep)
db_path = os.path.join(DB_DIR, rel_path)
wal_path = db_path + "-wal"
@ -273,7 +275,7 @@ class MonitorDBCache:
except OSError:
return None
out_name = rel_key.replace('/', '_')
out_name = rel_key.replace('\\', '_').replace('/', '_')
out_path = os.path.join(self.tmp_dir, out_name)
prev = self._state.get(rel_key)
@ -313,7 +315,7 @@ def build_username_db_map():
# 先获取每个 DB 的 mtime 用于排序
db_mtimes = {}
for i in range(5):
rel_key = f"message/message_{i}.db"
rel_key = os.path.join("message", f"message_{i}.db")
db_path = os.path.join(DB_DIR, "message", f"message_{i}.db")
try:
db_mtimes[rel_key] = os.path.getmtime(db_path)
@ -326,7 +328,7 @@ def build_username_db_map():
db_path = os.path.join(decrypted_msg_dir, f"message_{i}.db")
if not os.path.exists(db_path):
continue
rel_key = f"message/message_{i}.db"
rel_key = os.path.join("message", f"message_{i}.db")
try:
conn = sqlite3.connect(f"file:{db_path}?mode=ro", uri=True)
for row in conn.execute("SELECT user_name FROM Name2Id").fetchall():
@ -595,7 +597,7 @@ class SessionMonitor:
# local_id 不全局唯一,需要同时匹配 create_time
file_md5 = None
for _try in range(2):
res_path = self.db_cache.get("message/message_resource.db")
res_path = self.db_cache.get(os.path.join("message", "message_resource.db"))
if not res_path:
return None
try:
@ -620,7 +622,7 @@ class SessionMonitor:
except Exception as e:
if 'malformed' in str(e) and _try == 0:
print(f" [img] resource DB malformed, 强制刷新...", flush=True)
self.db_cache.invalidate("message/message_resource.db")
self.db_cache.invalidate(os.path.join("message", "message_resource.db"))
continue
print(f" [img] 查询 message_resource 失败: {e}", flush=True)
return None
@ -753,10 +755,11 @@ class SessionMonitor:
def _fresh_decrypt_query(self, db_key, table_name, prev_ts, curr_ts):
"""独立解密 message DB 到临时文件并查询,避免共享缓存竞态"""
if db_key not in self.db_cache.keys:
key_info = get_key_info(self.db_cache.keys, db_key)
if not key_info:
return []
enc_key = bytes.fromhex(self.db_cache.keys[db_key]["enc_key"])
rel_path = db_key.replace('/', os.sep)
enc_key = bytes.fromhex(key_info["enc_key"])
rel_path = db_key.replace('\\', '/').replace('/', os.sep)
db_path = os.path.join(DB_DIR, rel_path)
wal_path = db_path + "-wal"
if not os.path.exists(db_path):
@ -1875,9 +1878,13 @@ def main():
print("=" * 60, flush=True)
with open(KEYS_FILE) as f:
keys = json.load(f)
keys = strip_key_metadata(json.load(f))
enc_key = bytes.fromhex(keys["session/session.db"]["enc_key"])
session_key_info = get_key_info(keys, os.path.join("session", "session.db"))
if not session_key_info:
print("[ERROR] 找不到 session.db 的密钥", flush=True)
sys.exit(1)
enc_key = bytes.fromhex(session_key_info["enc_key"])
session_db = os.path.join(DB_DIR, "session", "session.db")
print("加载联系人...", flush=True)
@ -1910,10 +1917,10 @@ def main():
def _warmup():
try:
t0 = time.perf_counter()
warmup_keys = ["message/message_resource.db"]
warmup_keys = [os.path.join("message", "message_resource.db")]
for i in range(5):
k = f"message/message_{i}.db"
if k in keys:
k = os.path.join("message", f"message_{i}.db")
if get_key_info(keys, k):
warmup_keys.append(k)
for k in warmup_keys:
t1 = time.perf_counter()