From f69b9e16e4643836ade883c194612a40ceb4ca0e Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Sun, 3 Dec 2023 22:51:22 +0800 Subject: [PATCH 01/14] =?UTF-8?q?=E9=87=8D=E6=9E=84=E4=BB=A3=E7=A0=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 1 + doc/python1.0_README.md | 2 +- pywxdump/__init__.py | 11 +- pywxdump/{analyse => analyzer}/__init__.py | 0 .../analyser.py => analyzer/chat_analysis.py} | 0 .../parse.py => analyzer/db_parsing.py} | 0 pywxdump/analyzer/export_chat.py | 274 ++++++++++++++++++ pywxdump/analyzer/img.png | Bin 0 -> 338827 bytes pywxdump/analyzer/utils.py | 22 ++ pywxdump/{command.py => cli.py} | 0 pywxdump/decrypted/__init__.py | 9 - pywxdump/{bias_addr => ui}/__init__.py | 9 +- .../{show_chat => ui/view_chat}/__init__.py | 0 .../view_chat}/main_window.py | 0 .../view_chat}/templates/chat.html | 0 .../view_chat}/templates/index.html | 0 pywxdump/wx_info/__init__.py | 6 +- .../decrypt.py => wx_info/decryption.py} | 1 - .../{bias_addr => wx_info}/get_bias_addr.py | 236 +-------------- pywxdump/wx_info/get_wx_db.py | 101 ------- pywxdump/wx_info/get_wx_info.py | 72 +++-- .../merge_db.py} | 163 +---------- 22 files changed, 371 insertions(+), 536 deletions(-) rename pywxdump/{analyse => analyzer}/__init__.py (100%) rename pywxdump/{analyse/analyser.py => analyzer/chat_analysis.py} (100%) rename pywxdump/{analyse/parse.py => analyzer/db_parsing.py} (100%) create mode 100644 pywxdump/analyzer/export_chat.py create mode 100644 pywxdump/analyzer/img.png create mode 100644 pywxdump/analyzer/utils.py rename pywxdump/{command.py => cli.py} (100%) delete mode 100644 pywxdump/decrypted/__init__.py rename pywxdump/{bias_addr => ui}/__init__.py (74%) rename pywxdump/{show_chat => ui/view_chat}/__init__.py (100%) rename pywxdump/{show_chat => ui/view_chat}/main_window.py (100%) rename pywxdump/{show_chat => ui/view_chat}/templates/chat.html (100%) rename pywxdump/{show_chat => ui/view_chat}/templates/index.html (100%) rename pywxdump/{decrypted/decrypt.py => wx_info/decryption.py} (99%) rename pywxdump/{bias_addr => wx_info}/get_bias_addr.py (52%) delete mode 100644 pywxdump/wx_info/get_wx_db.py rename pywxdump/{decrypted/get_wx_decrypted_db.py => wx_info/merge_db.py} (52%) diff --git a/README.md b/README.md index 55d3660..1b61730 100644 --- a/README.md +++ b/README.md @@ -65,6 +65,7 @@ * 6.查看群聊中具体发言成员的ID [#31](https://github.com/xaoyaoo/PyWxDump/issues/31) * 7.增加数据库合并功能，方便查看 * 8.增加企业微信的支持 +* 9.增加获取实时聊天记录的功能 注: 欢迎大家提供更多的想法，或者提供代码，一起完善这个项目。 diff --git a/doc/python1.0_README.md b/doc/python1.0_README.md index 03ef925..8e61f4e 100644 --- a/doc/python1.0_README.md +++ b/doc/python1.0_README.md @@ -189,7 +189,7 @@ python get_wx_decrypted_db.py --key ******** ## 四、解析数据库 -* [parse.py](../pywxdump/analyse/parse.py) : 数据库解析脚本，可以解析语音、图片、聊天记录等 +* [parse.py](../pywxdump/analyzer/parse.py) : 数据库解析脚本，可以解析语音、图片、聊天记录等 * 关于各个数据库的说明文档，请查看[wx数据库简述.md](./wx数据库简述.md) 未完待续... diff --git a/pywxdump/__init__.py b/pywxdump/__init__.py index 903a5cf..159680b 100644 --- a/pywxdump/__init__.py +++ b/pywxdump/__init__.py @@ -5,13 +5,10 @@ # Author: xaoyaoo # Date: 2023/10/14 # ------------------------------------------------------------------------------- -from .bias_addr.get_bias_addr import BiasAddr -from .wx_info.get_wx_info import read_info -from .wx_info.get_wx_db import get_wechat_db -from .decrypted.decrypt import batch_decrypt, decrypt,encrypt -from .decrypted.get_wx_decrypted_db import all_decrypt, merge_copy_msg_db, merge_msg_db, merge_media_msg_db -from .analyse.parse import read_img_dat, read_emoji, decompress_CompressContent, read_audio_buf, read_audio, parse_xml_string -from .show_chat import app_show_chat, get_user_list, export +from .wx_info import BiasAddr,read_info, get_wechat_db,encrypt,batch_decrypt,decrypt +from .wx_info import merge_copy_db, merge_msg_db, merge_media_msg_db +from .analyzer.db_parsing import read_img_dat, read_emoji, decompress_CompressContent, read_audio_buf, read_audio, parse_xml_string +from .ui.view_chat import app_show_chat, get_user_list, export import os,json diff --git a/pywxdump/analyse/__init__.py b/pywxdump/analyzer/__init__.py similarity index 100% rename from pywxdump/analyse/__init__.py rename to pywxdump/analyzer/__init__.py diff --git a/pywxdump/analyse/analyser.py b/pywxdump/analyzer/chat_analysis.py similarity index 100% rename from pywxdump/analyse/analyser.py rename to pywxdump/analyzer/chat_analysis.py diff --git a/pywxdump/analyse/parse.py b/pywxdump/analyzer/db_parsing.py similarity index 100% rename from pywxdump/analyse/parse.py rename to pywxdump/analyzer/db_parsing.py diff --git a/pywxdump/analyzer/export_chat.py b/pywxdump/analyzer/export_chat.py new file mode 100644 index 0000000..199810b --- /dev/null +++ b/pywxdump/analyzer/export_chat.py @@ -0,0 +1,274 @@ +# -*- coding: utf-8 -*-# +# ------------------------------------------------------------------------------- +# Name: export_chat.py +# Description: +# Author: xaoyaoo +# Date: 2023/12/03 +# ------------------------------------------------------------------------------- +# -*- coding: utf-8 -*-# +# ------------------------------------------------------------------------------- +# Name: GUI.py +# Description: +# Author: xaoyaoo +# Date: 2023/11/10 +# ------------------------------------------------------------------------------- +import base64 +import sqlite3 +import os +import json +import time +from .utils import get_md5 +from .db_parsing import read_img_dat, decompress_CompressContent, read_audio, parse_xml_string + +from flask import Flask, request, render_template, g, Blueprint + + +def get_user_list(MSG_ALL_db_path, MicroMsg_db_path): + users = [] + # 连接 MSG_ALL.db 数据库，并执行查询 + db1 = sqlite3.connect(MSG_ALL_db_path) + cursor1 = db1.cursor() + cursor1.execute("SELECT StrTalker, COUNT(*) AS ChatCount FROM MSG GROUP BY StrTalker ORDER BY ChatCount DESC") + result = cursor1.fetchall() + + for row in result: + # 获取用户名、昵称、备注和聊天记录数量 + db2 = sqlite3.connect(MicroMsg_db_path) + cursor2 = db2.cursor() + cursor2.execute("SELECT UserName, NickName, Remark FROM Contact WHERE UserName=?", (row[0],)) + result2 = cursor2.fetchone() + if result2: + username, nickname, remark = result2 + chat_count = row[1] + + # 拼接四列数据为元组 + row_data = {"username": username, "nickname": nickname, "remark": remark, "chat_count": chat_count, + "isChatRoom": username.startswith("@chatroom")} + users.append(row_data) + cursor2.close() + db2.close() + cursor1.close() + db1.close() + return users + + +def load_base64_audio_data(MsgSvrID, MediaMSG_all_db_path): + wave_data = read_audio(MsgSvrID, is_wave=True, DB_PATH=MediaMSG_all_db_path) + if not wave_data: + return "" + video_base64 = base64.b64encode(wave_data).decode("utf-8") + video_data = f"data:audio/wav;base64,{video_base64}" + return video_data + + +def load_base64_img_data(start_time, end_time, username_md5, FileStorage_path): + """ + 获取图片的base64数据 + :param start_time: 开始时间戳 + :param end_time: 结束时间戳 + :param username_md5: 用户名的md5值 + :return: + """ + # 获取CreateTime的最大值日期 + min_time = time.strftime("%Y-%m", time.localtime(start_time)) + max_time = time.strftime("%Y-%m", time.localtime(end_time)) + img_path = os.path.join(FileStorage_path, "MsgAttach", username_md5, "Image") + if not os.path.exists(img_path): + return {} + # print(min_time, max_time, img_path) + paths = [] + for root, path, files in os.walk(img_path): + for p in path: + if p >= min_time and p <= max_time: + paths.append(os.path.join(root, p)) + # print(paths) + img_md5_data = {} + for path in paths: + for root, path, files in os.walk(path): + for file in files: + if file.endswith(".dat"): + file_path = os.path.join(root, file) + fomt, md5, out_bytes = read_img_dat(file_path) + out_bytes = base64.b64encode(out_bytes).decode("utf-8") + img_md5_data[md5] = f"data:{fomt};base64,{out_bytes}" + return img_md5_data + + +def load_chat_records(selected_talker, start_index, page_size, user_list, MSG_ALL_db_path, MediaMSG_all_db_path, + FileStorage_path): + username = user_list.get("username", "") + username_md5 = get_md5(username) + type_name_dict = { + 1: {0: "文本"}, + 3: {0: "图片"}, + 34: {0: "语音"}, + 43: {0: "视频"}, + 47: {0: "动画表情"}, + 49: {0: "文本", 1: "类似文字消息而不一样的消息", 5: "卡片式链接", 6: "文件", 8: "用户上传的 GIF 表情", + 19: "合并转发的聊天记录", 33: "分享的小程序", 36: "分享的小程序", 57: "带有引用的文本消息", + 63: "视频号直播或直播回放等", + 87: "群公告", 88: "视频号直播或直播回放等", 2000: "转账消息", 2003: "赠送红包封面"}, + 50: {0: "语音通话"}, + 10000: {0: "系统通知", 4: "拍一拍", 8000: "系统通知"} + } + + # 连接 MSG_ALL.db 数据库，并执行查询 + db1 = sqlite3.connect(MSG_ALL_db_path) + cursor1 = db1.cursor() + + cursor1.execute( + "SELECT localId, IsSender, StrContent, StrTalker, Sequence, Type, SubType,CreateTime,MsgSvrID,DisplayContent,CompressContent FROM MSG WHERE StrTalker=? ORDER BY CreateTime ASC LIMIT ?,?", + (selected_talker, start_index, page_size)) + result1 = cursor1.fetchall() + + cursor1.close() + db1.close() + + img_md5_data = load_base64_img_data(result1[0][7], result1[-1][7], username_md5, FileStorage_path) # 获取图片的base64数据 + + data = [] + for row in result1: + localId, IsSender, StrContent, StrTalker, Sequence, Type, SubType, CreateTime, MsgSvrID, DisplayContent, CompressContent = row + CreateTime = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(CreateTime)) + + type_name = type_name_dict.get(Type, {}).get(SubType, "未知") + + content = {"src": "", "msg": "", "style": ""} + + if Type == 47 and SubType == 0: # 动画表情 + content_tmp = parse_xml_string(StrContent) + cdnurl = content_tmp.get("emoji", {}).get("cdnurl", "") + # md5 = content_tmp.get("emoji", {}).get("md5", "") + if cdnurl: + content = {"src": cdnurl, "msg": "表情", "style": "width: 100px; height: 100px;"} + + elif Type == 49 and SubType == 57: # 带有引用的文本消息 + CompressContent = CompressContent.rsplit(b'\x00', 1)[0] + content["msg"] = decompress_CompressContent(CompressContent) + try: + content["msg"] = content["msg"].decode("utf-8") + content["msg"] = parse_xml_string(content["msg"]) + content["msg"] = json.dumps(content["msg"], ensure_ascii=False) + except Exception as e: + content["msg"] = "[带有引用的文本消息]解析失败" + elif Type == 34 and SubType == 0: # 语音 + tmp_c = parse_xml_string(StrContent) + voicelength = tmp_c.get("voicemsg", {}).get("voicelength", "") + transtext = tmp_c.get("voicetrans", {}).get("transtext", "") + if voicelength.isdigit(): + voicelength = int(voicelength) / 1000 + voicelength = f"{voicelength:.2f}" + content["msg"] = f"语音时长：{voicelength}秒\n翻译结果：{transtext}" + + src = load_base64_audio_data(MsgSvrID, MediaMSG_all_db_path=MediaMSG_all_db_path) + content["src"] = src + elif Type == 3 and SubType == 0: # 图片 + xml_content = parse_xml_string(StrContent) + md5 = xml_content.get("img", {}).get("md5", "") + if md5: + content["src"] = img_md5_data.get(md5, "") + else: + content["src"] = "" + content["msg"] = "图片" + + else: + content["msg"] = StrContent + + row_data = {"MsgSvrID": MsgSvrID, "type_name": type_name, "is_sender": IsSender, + "content": content, "CreateTime": CreateTime} + data.append(row_data) + return data + + +def export_html(user, outpath, MSG_ALL_db_path, MediaMSG_all_db_path, FileStorage_path, page_size=500): + name_save = user.get("remark", user.get("nickname", user.get("username", ""))) + username = user.get("username", "") + + chatCount = user.get("chat_count", 0) + if chatCount == 0: + return False, "没有聊天记录" + + for i in range(0, chatCount, page_size): + start_index = i + data = load_chat_records(username, start_index, page_size, user, MSG_ALL_db_path, MediaMSG_all_db_path, + FileStorage_path) + if len(data) == 0: + break + save_path = os.path.join(outpath, f"{name_save}_{int(i / page_size)}.html") + with open(save_path, "w", encoding="utf-8") as f: + f.write(render_template("chat.html", msgs=data)) + return True, f"导出成功{outpath}" + + +def export(username, outpath, MSG_ALL_db_path, MicroMsg_db_path, MediaMSG_all_db_path, FileStorage_path): + if not os.path.exists(outpath): + outpath = os.path.join(os.getcwd(), "export" + os.sep + username) + if not os.path.exists(outpath): + os.makedirs(outpath) + + USER_LIST = get_user_list(MSG_ALL_db_path, MicroMsg_db_path) + user = list(filter(lambda x: x["username"] == username, USER_LIST)) + + if username and len(user) > 0: + user = user[0] + return export_html(user, outpath, MSG_ALL_db_path, MediaMSG_all_db_path, FileStorage_path) + + +app_show_chat = Blueprint('show_chat_main', __name__, template_folder='templates') +app_show_chat.debug = False + + +# 主页 - 显示用户列表 +@app_show_chat.route('/') +def index(): + g.USER_LIST = get_user_list(g.MSG_ALL_db_path, g.MicroMsg_db_path) + return render_template("index.html", users=g.USER_LIST) + + +# 获取聊天记录 +@app_show_chat.route('/get_chat_data', methods=["GET", 'POST']) +def get_chat_data(): + username = request.args.get("username", "") + user = list(filter(lambda x: x["username"] == username, g.USER_LIST)) + + if username and len(user) > 0: + user = user[0] + + limit = int(request.args.get("limit", 100)) # 每页显示的条数 + page = int(request.args.get("page", user.get("chat_count", limit) / limit)) # 当前页数 + + start_index = (page - 1) * limit + page_size = limit + + data = load_chat_records(username, start_index, page_size, user, g.MSG_ALL_db_path, g.MediaMSG_all_db_path, + g.FileStorage_path) + return render_template("chat.html", msgs=data) + else: + return "error" + + +# 聊天记录导出为html +@app_show_chat.route('/export_chat_data', methods=["GET", 'POST']) +def get_export(): + username = request.args.get("username", "") + + user = list(filter(lambda x: x["username"] == username, g.USER_LIST)) + + if username and len(user) > 0: + user = user[0] + n = f"{user.get('username', '')}_{user.get('nickname', '')}_{user.get('remark', '')}" + outpath = os.path.join(os.getcwd(), "export" + os.sep + n) + if not os.path.exists(outpath): + os.makedirs(outpath) + + ret = export_html(user, outpath, g.MSG_ALL_db_path, g.MediaMSG_all_db_path, g.FileStorage_path, page_size=200) + if ret[0]: + return ret[1] + else: + return ret[1] + else: + return "error" + + +if __name__ == '__main__': + pass diff --git a/pywxdump/analyzer/img.png b/pywxdump/analyzer/img.png new file mode 100644 index 0000000000000000000000000000000000000000..05cfeb73d538cffae53bb7dfd7314eb3c88470af GIT binary patch literal 338827 zcmYhh1yEaGv^^Xo!KJvgKyioSP~6?!rMMO=PO##|-Mu&zcY?dSloYpO#r2=x_uiZN zW-@b6?#;b9`c6d zAA{~>k^j)p1`U8L46uT;s3u&|NGqlSs4!6 z3&ClX?tPp5@0S10LvKK302dbpaFiG7s{rmbw+?;{{l)SoJ=FO)KTiR&b^d>ka4B*@ z1t7H`w$AWC!kSV1;0^; zUcG5`y}`k`&jZb-Pcj4#pS|$!!`xwO6mo*N_a1eZ81&k%L(=P7ry{aE7ObSZwTbwa zLtDc?aRlW?|8F7{!HEu^TPyfTzA&k>yfC!sWU`9r3n!w7`Tp7P4;}#1*i08C zKE%b!ptW#USk{>OgjBWHP(BL^zcKJY09z@DNekZnQ(Ca&Wp5xl+}jJH&y)dT_3y#j zN|ZAU*z>(!z{3qFOiWw_JqbO1sKxIP 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zl-l=4EfR@9W>IgQtudu5Mj;Xsa|D5{d%jAV>lctHVN5Z|Mc#M53Wa;_i5HvqYrM(2 zbZiGtW9xH}R$2obUW1WR?~t3t4Vr5PlTrwQwUi$!Fp?_={&ck;s{vlL4~*G)2nvwA zCJpKaFCwomWmBaQW9B%59q9HzB&5jh0k-z6dVN1OE;qdr8W~ug#uK+}YX5j1Q6;1xjmb zYAP$`8DjrE3rXLXhIoAheI0(wQKBLc(4xDR0ocaGQ id 0 else 0 -# mem_data = pm.read_bytes(module.lpBaseOfDll, module.SizeOfImage) -# result = self.find_all(value, mem_data) -# result = result[-1] if len(result) > 0 else 0 -# return result -# -# def search_key(self, key: bytes): -# byteLen = self.address_len # if self.bits == 32 else 8 # 4字节或8字节 -# key = re.escape(key) # 转义特殊字符 -# key_addr = self.pm.pattern_scan_all(key, return_multiple=True)[-1] if len(key) > 0 else 0 -# key = key_addr.to_bytes(byteLen, byteorder='little', signed=True) -# result = self.search_memory_value(key, self.module_name) -# return result -# -# def get_key_bias_test(self): -# byteLen = self.address_len # 4 if self.bits == 32 else 8 # 4字节或8字节 -# keyLenOffset = 0x8c if self.bits == 32 else 0xd0 -# keyWindllOffset = 0x90 if self.bits == 32 else 0xd8 -# -# pm = self.pm -# -# module = pymem.process.module_from_name(pm.process_handle, "WeChatWin.dll") -# keyBytes = b'-----BEGIN PUBLIC KEY-----\n...' -# publicKeyList = pymem.pattern.pattern_scan_all(self.pm.process_handle, keyBytes, return_multiple=True) -# -# keyaddrs = [] -# for addr in publicKeyList: -# keyBytes = addr.to_bytes(byteLen, byteorder="little", signed=True) # 低位在前 -# addrs = pymem.pattern.pattern_scan_module(pm.process_handle, module, keyBytes, return_multiple=True) -# if addrs != 0: -# keyaddrs += addrs -# -# keyWinAddr = 0 -# for addr in keyaddrs: -# keyLen = pm.read_uchar(addr - keyLenOffset) -# if keyLen != 32: -# continue -# keyWinAddr = addr - keyWindllOffset -# # keyaddr = int.from_bytes(pm.read_bytes(keyWinAddr, byteLen), byteorder='little') -# # key = pm.read_bytes(keyaddr, 32) -# # print("key", key.hex()) -# -# return keyWinAddr - module.lpBaseOfDll -# -# def get_key_bias(self, wx_db_path, account_bias=0): -# wx_db_path = os.path.join(wx_db_path, "Msg", "MicroMsg.db") -# if not os.path.exists(wx_db_path): -# return 0 -# -# def get_maybe_key(mem_data): -# maybe_key = [] -# for i in range(0, len(mem_data), self.address_len): -# addr = mem_data[i:i + self.address_len] -# addr = int.from_bytes(addr, byteorder='little') -# # 去掉不可能的地址 -# if min_addr < addr < max_addr: -# key = read_key(addr) -# if key == b"": -# continue -# maybe_key.append([key, i]) -# return maybe_key -# -# def read_key(addr): -# key = ctypes.create_string_buffer(35) -# if ReadProcessMemory(pm.process_handle, void_p(addr - 1), key, 35, 0) == 0: -# return b"" -# -# if b"\x00\x00" in key.raw[1:33]: -# return b"" -# -# if b"\x00\x00" == key.raw[33:35] and b"\x90" == key.raw[0:1]: -# return key.raw[1:33] -# return b"" -# -# def verify_key(keys, wx_db_path): -# with open(wx_db_path, "rb") as file: -# blist = file.read(5000) -# salt = blist[:16] -# first = blist[16:DEFAULT_PAGESIZE] -# mac_salt = bytes([(salt[i] ^ 58) for i in range(16)]) -# -# with multiprocessing.Pool(processes=8) as pool: -# results = [pool.apply_async(validate_key, args=(key, salt, first, mac_salt)) for key, i in keys[-1::-1]] -# results = [p.get() for p in results] -# for i, result in enumerate(results[-1::-1]): -# if result: -# return keys[i] -# return b"", 0 -# -# module_name = "WeChatWin.dll" -# pm = self.pm -# module = pymem.process.module_from_name(pm.process_handle, module_name) -# start_addr = module.lpBaseOfDll -# size = module.SizeOfImage -# -# if account_bias > 1: -# maybe_key = [] -# for i in [0x24, 0x40]: -# addr = start_addr + account_bias - i -# mem_data = pm.read_bytes(addr, self.address_len) -# key = read_key(int.from_bytes(mem_data, byteorder='little')) -# if key != b"": -# maybe_key.append([key, addr - start_addr]) -# key, bais = verify_key(maybe_key, wx_db_path) -# if bais != 0: -# return bais -# -# min_addr = 0xffffffffffffffffffffffff -# max_addr = 0 -# for module1 in pm.list_modules(): -# if module1.lpBaseOfDll < min_addr: -# min_addr = module1.lpBaseOfDll -# if module1.lpBaseOfDll > max_addr: -# max_addr = module1.lpBaseOfDll + module1.SizeOfImage -# -# mem_data = pm.read_bytes(start_addr, size) -# maybe_key = get_maybe_key(mem_data) -# key, bais = verify_key(maybe_key, wx_db_path) -# return bais -# -# def run(self, is_logging=False, version_list_path=None): -# self.version = self.get_file_version(self.process_name) -# if not self.islogin: -# error = "[-] WeChat No Run" -# if is_logging: print(error) -# return error -# mobile_bias = self.search_memory_value(self.mobile) -# name_bias = self.search_memory_value(self.name) -# account_bias = self.search_memory_value(self.account) -# # version_bias = self.search_memory_value(self.version.encode("utf-8")) -# -# try: -# key_bias = self.get_key_bias_test() -# except: -# key_bias = 0 -# -# if key_bias <= 0: -# if self.key: -# key_bias = self.search_key(self.key) -# elif self.db_path: -# key_bias = self.get_key_bias(self.db_path, account_bias) -# else: -# key_bias = 0 -# rdata = {self.version: [name_bias, account_bias, mobile_bias, 0, key_bias]} -# if version_list_path and os.path.exists(version_list_path): -# with open(version_list_path, "r", encoding="utf-8") as f: -# data = json.load(f) -# data.update(rdata) -# with open(version_list_path, "w", encoding="utf-8") as f: -# json.dump(data, f, ensure_ascii=False, indent=4) -# if is_logging: -# print("{版本号:昵称,账号,手机号,邮箱,KEY}") -# print(rdata) -# return rdata - - -if __name__ == '__main__': - # 创建命令行参数解析器 - parser = argparse.ArgumentParser() - parser.add_argument("--mobile", type=str, help="手机号", required=True) - parser.add_argument("--name", type=str, help="微信昵称", required=True) - parser.add_argument("--account", type=str, help="微信账号", required=True) - parser.add_argument("--key", type=str, help="(可选)密钥") - parser.add_argument("--db_path", type=str, help="(可选)已登录账号的微信文件夹路径") - - # 解析命令行参数 - args = parser.parse_args() - - # 检查是否缺少必要参数，并抛出错误 - if not args.mobile or not args.name or not args.account: - raise ValueError("缺少必要的命令行参数！请提供手机号、微信昵称、微信账号。") - - # 从命令行参数获取值 - mobile = args.mobile - name = args.name - account = args.account - key = args.key - db_path = args.db_path - - # 调用 run 函数，并传入参数 - rdata = BiasAddr(account, mobile, name, key, db_path).run(True, "../version_list.json") + return rdata \ No newline at end of file diff --git a/pywxdump/wx_info/get_wx_db.py b/pywxdump/wx_info/get_wx_db.py deleted file mode 100644 index e30798b..0000000 --- a/pywxdump/wx_info/get_wx_db.py +++ /dev/null @@ -1,101 +0,0 @@ -# -*- coding: utf-8 -*-# -# ------------------------------------------------------------------------------- -# Name: get_wx_db.py -# Description: -# Author: xaoyaoo -# Date: 2023/10/14 -# ------------------------------------------------------------------------------- -import os -import re -import winreg -from typing import List, Union - - -def get_wechat_db(require_list: Union[List[str], str] = "all", msg_dir: str = None, wxid: Union[List[str], str] = None, - is_logging: bool = False): - if not msg_dir: - try: - key = winreg.OpenKey(winreg.HKEY_CURRENT_USER, r"Software\Tencent\WeChat", 0, winreg.KEY_READ) - value, _ = winreg.QueryValueEx(key, "FileSavePath") - winreg.CloseKey(key) - w_dir = value - except Exception as e: - # 获取文档实际目录 - try: - # 打开注册表路径 - key = winreg.OpenKey(winreg.HKEY_CURRENT_USER, - r"Software\Microsoft\Windows\CurrentVersion\Explorer\User Shell Folders") - documents_path = winreg.QueryValueEx(key, "Personal")[0] # 读取文档实际目录路径 - winreg.CloseKey(key) # 关闭注册表 - documents_paths = os.path.split(documents_path) - if "%" in documents_paths[0]: - w_dir = os.environ.get(documents_paths[0].replace("%", "")) - w_dir = os.path.join(w_dir, os.path.join(*documents_paths[1:])) - else: - w_dir = documents_path - except Exception as e: - profile = os.path.expanduser("~") - w_dir = os.path.join(profile, "Documents") - msg_dir = os.path.join(w_dir, "WeChat Files") - - if not os.path.exists(msg_dir): - error = f"[-] 目录不存在: {msg_dir}" - if is_logging: print(error) - return error - - user_dirs = {} # wx用户目录 - files = os.listdir(msg_dir) - if wxid: # 如果指定wxid - if isinstance(wxid, str): - wxid = wxid.split(";") - for file_name in files: - if file_name in wxid: - user_dirs[os.path.join(msg_dir, file_name)] = os.path.join(msg_dir, file_name) - else: # 如果未指定wxid - for file_name in files: - if file_name == "All Users" or file_name == "Applet" or file_name == "WMPF": - continue - user_dirs[os.path.join(msg_dir, file_name)] = os.path.join(msg_dir, file_name) - - if isinstance(require_list, str): - require_list = require_list.split(";") - - # generate pattern - if "all" in require_list: - pattern = {"all": re.compile(r".*\.db$")} - elif isinstance(require_list, list): - pattern = {} - for require in require_list: - pattern[require] = re.compile(r"%s.*\.db$" % require) - else: - error = f"[-] 参数错误: {require_list}" - if is_logging: print(error) - return error - - # 获取数据库路径 - for user, user_dir in user_dirs.items(): # 遍历用户目录 - user_dirs[user] = {n: [] for n in pattern.keys()} - for root, dirs, files in os.walk(user_dir): - for file_name in files: - for n, p in pattern.items(): - if p.match(file_name): - src_path = os.path.join(root, file_name) - user_dirs[user][n].append(src_path) - - if is_logging: - for user, user_dir in user_dirs.items(): - print(f"[+] user_path: {user}") - for n, paths in user_dir.items(): - print(f" {n}:") - for path in paths: - print(f" {path.replace(user, '')}") - print("-" * 32) - print(f"[+] 共 {len(user_dirs)} 个微信账号") - - return user_dirs - - -if __name__ == '__main__': - require_list = ["MediaMSG", "MicroMsg", "FTSMSG", "MSG", "Sns", "Emotion"] - # require_list = "all" - user_dirs = get_wechat_db(require_list, is_logging=True) diff --git a/pywxdump/wx_info/get_wx_info.py b/pywxdump/wx_info/get_wx_info.py index 4c723bd..49b9316 100644 --- a/pywxdump/wx_info/get_wx_info.py +++ b/pywxdump/wx_info/get_wx_info.py @@ -13,6 +13,7 @@ import pymem from win32com.client import Dispatch import psutil import sys +from typing import List, Union ReadProcessMemory = ctypes.windll.kernel32.ReadProcessMemory void_p = ctypes.c_void_p @@ -181,28 +182,63 @@ def read_info(version_list, is_logging=False): return result +def get_wechat_db(require_list: Union[List[str], str] = "all", msg_dir: str = None, wxid: Union[List[str], str] = None, + is_logging: bool = False): + if not msg_dir: + msg_dir = get_info_filePath(wxid="all") -if __name__ == "__main__": - import argparse + if not os.path.exists(msg_dir): + error = f"[-] 目录不存在: {msg_dir}" + if is_logging: print(error) + return error - parser = argparse.ArgumentParser() - parser.add_argument("--vlfile", type=str, help="手机号", required=False) - parser.add_argument("--vldict", type=str, help="微信昵称", required=False) + user_dirs = {} # wx用户目录 + files = os.listdir(msg_dir) + if wxid: # 如果指定wxid + if isinstance(wxid, str): + wxid = wxid.split(";") + for file_name in files: + if file_name in wxid: + user_dirs[os.path.join(msg_dir, file_name)] = os.path.join(msg_dir, file_name) + else: # 如果未指定wxid + for file_name in files: + if file_name == "All Users" or file_name == "Applet" or file_name == "WMPF": + continue + user_dirs[os.path.join(msg_dir, file_name)] = os.path.join(msg_dir, file_name) - args = parser.parse_args() + if isinstance(require_list, str): + require_list = require_list.split(";") - # 读取微信各版本偏移 - if args.vlfile: - VERSION_LIST_PATH = args.vlfile - with open(VERSION_LIST_PATH, "r", encoding="utf-8") as f: - VERSION_LIST = json.load(f) - if args.vldict: - VERSION_LIST = json.loads(args.vldict) + # generate pattern + if "all" in require_list: + pattern = {"all": re.compile(r".*\.db$")} + elif isinstance(require_list, list): + pattern = {} + for require in require_list: + pattern[require] = re.compile(r"%s.*\.db$" % require) + else: + error = f"[-] 参数错误: {require_list}" + if is_logging: print(error) + return error - if not args.vlfile and not args.vldict: - VERSION_LIST_PATH = "../version_list.json" + # 获取数据库路径 + for user, user_dir in user_dirs.items(): # 遍历用户目录 + user_dirs[user] = {n: [] for n in pattern.keys()} + for root, dirs, files in os.walk(user_dir): + for file_name in files: + for n, p in pattern.items(): + if p.match(file_name): + src_path = os.path.join(root, file_name) + user_dirs[user][n].append(src_path) - with open(VERSION_LIST_PATH, "r", encoding="utf-8") as f: - VERSION_LIST = json.load(f) + if is_logging: + for user, user_dir in user_dirs.items(): + print(f"[+] user_path: {user}") + for n, paths in user_dir.items(): + print(f" {n}:") + for path in paths: + print(f" {path.replace(user, '')}") + print("-" * 32) + print(f"[+] 共 {len(user_dirs)} 个微信账号") - result = read_info(VERSION_LIST, True) # 读取微信信息 + return user_dirs \ No newline at end of file diff --git a/pywxdump/decrypted/get_wx_decrypted_db.py b/pywxdump/wx_info/merge_db.py similarity index 52% rename from pywxdump/decrypted/get_wx_decrypted_db.py rename to pywxdump/wx_info/merge_db.py index e77e321..30da3cd 100644 --- a/pywxdump/decrypted/get_wx_decrypted_db.py +++ b/pywxdump/wx_info/merge_db.py @@ -1,110 +1,16 @@ # -*- coding: utf-8 -*-# # ------------------------------------------------------------------------------- -# Name: get_wx_decrypted_db.py +# Name: merge_db.py # Description: # Author: xaoyaoo -# Date: 2023/08/25 +# Date: 2023/12/03 # ------------------------------------------------------------------------------- -import argparse import os -import re import shutil import sqlite3 -# import sys -import winreg - -# sys.path.append(os.path.dirname(os.path.abspath(__file__))) -try: - from decrypted.decrypt import decrypt -except ImportError: - from .decrypt import decrypt - -# 开始获取微信数据库 -def get_wechat_db(): - try: - key = winreg.OpenKey(winreg.HKEY_CURRENT_USER, r"Software\Tencent\WeChat", 0, winreg.KEY_READ) - value, _ = winreg.QueryValueEx(key, "FileSavePath") - winreg.CloseKey(key) - w_dir = value - except Exception as e: - try: - w_dir = "MyDocument:" - except Exception as e: - print("读取注册表错误:", str(e)) - return str(e) - - if w_dir == "MyDocument:": - profile = os.path.expanduser("~") - msg_dir = os.path.join(profile, "Documents", "WeChat Files") - else: - msg_dir = os.path.join(w_dir, "WeChat Files") - if not os.path.exists(msg_dir): - return FileNotFoundError("目录不存在") - user_dirs = {} # wx用户目录 - files = os.listdir(msg_dir) - for file_name in files: - if file_name == "All Users" or file_name == "Applet" or file_name == "WMPF": - continue - user_dirs[file_name] = os.path.join(msg_dir, file_name) - - # 获取数据库路径 - for user, user_dir in user_dirs.items(): - Media_p = [] - Micro_p = [] - FTS_p = [] - Sns_p = [] - Msg = [] - Emotion_p = [] - for root, dirs, files in os.walk(user_dir): - for file_name in files: - if re.match(r".*MediaMSG.*\.db$", file_name): - src_path = os.path.join(root, file_name) - Media_p.append(src_path) - elif re.match(r".*MicroMsg.*\.db$", file_name): - src_path = os.path.join(root, file_name) - Micro_p.append(src_path) - elif re.match(r".*FTSMSG.*\.db$", file_name): - src_path = os.path.join(root, file_name) - FTS_p.append(src_path) - elif re.match(r".*MSG.*\.db$", file_name): - src_path = os.path.join(root, file_name) - Msg.append(src_path) - elif re.match(r".*Sns.*\.db$", file_name): - src_path = os.path.join(root, file_name) - Sns_p.append(src_path) - elif re.match(r".*Emotion.*\.db$", file_name): - src_path = os.path.join(root, file_name) - Emotion_p.append(src_path) - Media_p.sort() - Msg.sort() - Micro_p.sort() - # FTS_p.sort() - user_dirs[user] = {"MicroMsg": Micro_p, "Msg": Msg, "MediaMSG": Media_p, "Sns": Sns_p, "Emotion": Emotion_p} - return user_dirs - - -# 解密所有数据库 paths（文件） 到 decrypted_path（目录） -def all_decrypt(keys, paths, decrypted_path): - decrypted_paths = [] - - for key in keys: - for path in paths: - - name = os.path.basename(path) # 文件名 - dtp = os.path.join(decrypted_path, name) # 解密后的路径 - if not decrypt(key, path, dtp): - break - decrypted_paths.append(dtp) - else: # for循环正常结束，没有break - break # 跳出while循环 - else: - return False # while循环正常结束，没有break 解密失败 - return decrypted_paths - - -def merge_copy_msg_db(db_path, save_path): +def merge_copy_db(db_path, save_path): if isinstance(db_path, list) and len(db_path) == 1: db_path = db_path[0] if not os.path.exists(db_path): @@ -112,7 +18,7 @@ def merge_copy_msg_db(db_path, save_path): shutil.move(db_path, save_path) -# 合并相同名称的数据库 +# 合并相同名称的数据库 MSG0-MSG9.db def merge_msg_db(db_path: list, save_path: str, CreateTime: int = 0): # CreateTime: 从这个时间开始的消息 10位时间戳 merged_conn = sqlite3.connect(save_path) @@ -252,64 +158,3 @@ def merge_media_msg_db(db_path: list, save_path: str): merged_conn.close() return save_path - - -if __name__ == '__main__': - # 创建命令行参数解析器 - parser = argparse.ArgumentParser() - parser.add_argument("-k", "--key", help="解密密钥", nargs="+", required=True) - - # 解析命令行参数 - args = parser.parse_args() - - # 检查是否缺少必要参数，并抛出错误 - if not args.key: - raise ValueError("缺少必要的命令行参数！请提供密钥。") - - # 从命令行参数获取值 - keys = args.key - - decrypted_ROOT = os.path.join(os.getcwd(), "decrypted") - - if keys is None: - print("keys is None") - exit(0) - if isinstance(keys, str): - keys = [keys] - - user_dirs = get_wechat_db() - for user, db_path in user_dirs.items(): # 遍历用户 - MicroMsgPaths = db_path["MicroMsg"] - MsgPaths = db_path["Msg"] - MediaMSGPaths = db_path["MediaMSG"] - # FTSMSGPaths = db_path["FTSMSG"] - SnsPaths = db_path["Sns"] - EmotionPaths = db_path["Emotion"] - - decrypted_path_tmp = os.path.join(decrypted_ROOT, user, "tmp") # 解密后的目录 - if not os.path.exists(decrypted_path_tmp): - os.makedirs(decrypted_path_tmp) - - MicroMsgDecryptPaths = all_decrypt(keys, MicroMsgPaths, decrypted_path_tmp) - MsgDecryptPaths = all_decrypt(keys, MsgPaths, decrypted_path_tmp) - MediaMSGDecryptPaths = all_decrypt(keys, MediaMSGPaths, decrypted_path_tmp) - SnsDecryptPaths = all_decrypt(keys, SnsPaths, decrypted_path_tmp) - EmotionDecryptPaths = all_decrypt(keys, EmotionPaths, decrypted_path_tmp) - - # 合并数据库 - decrypted_path = os.path.join(decrypted_ROOT, user) # 解密后的目录 - - MicroMsgDbPath = os.path.join(decrypted_path, "MicroMsg.db") - MsgDbPath = os.path.join(decrypted_path, "MSG_all.db") - MediaMSGDbPath = os.path.join(decrypted_path, "MediaMSG_all.db") - SnsDbPath = os.path.join(decrypted_path, "Sns_all.db") - EmmotionDbPath = os.path.join(decrypted_path, "Emotion_all.db") - - merge_copy_msg_db(MicroMsgDecryptPaths, MicroMsgDbPath) - merge_msg_db(MsgDecryptPaths, MsgDbPath, 0) - merge_media_msg_db(MediaMSGDecryptPaths, MediaMSGDbPath) - merge_copy_msg_db(SnsDecryptPaths, SnsDbPath) - merge_copy_msg_db(EmotionDecryptPaths, EmmotionDbPath) - - shutil.rmtree(decrypted_path_tmp) # 删除临时文件 - print(f"解密完成：{user}, {decrypted_path}") From 3c6d5db38c01aee58b1a6d888539bb966f57767d Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Sun, 3 Dec 2023 23:36:51 +0800 Subject: [PATCH 02/14] =?UTF-8?q?=E9=87=8D=E6=9E=84=E4=BB=A3=E7=A0=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pywxdump/analyzer/export_chat.py | 96 ++++++++++++++++++++++++-------- pywxdump/analyzer/utils.py | 45 +++++++++++++++ 2 files changed, 118 insertions(+), 23 deletions(-) diff --git a/pywxdump/analyzer/export_chat.py b/pywxdump/analyzer/export_chat.py index 199810b..5f09047 100644 --- a/pywxdump/analyzer/export_chat.py +++ b/pywxdump/analyzer/export_chat.py @@ -17,41 +17,91 @@ import sqlite3 import os import json import time -from .utils import get_md5 +from functools import wraps + +from .utils import get_md5, detach_databases, attach_databases, execute_sql from .db_parsing import read_img_dat, decompress_CompressContent, read_audio, parse_xml_string from flask import Flask, request, render_template, g, Blueprint -def get_user_list(MSG_ALL_db_path, MicroMsg_db_path): +def get_contact_list(MicroMsg_db_path): + """ + 获取联系人列表 + :param MicroMsg_db_path: MicroMsg.db 文件路径 + :return: 联系人列表 + """ users = [] - # 连接 MSG_ALL.db 数据库，并执行查询 - db1 = sqlite3.connect(MSG_ALL_db_path) - cursor1 = db1.cursor() - cursor1.execute("SELECT StrTalker, COUNT(*) AS ChatCount FROM MSG GROUP BY StrTalker ORDER BY ChatCount DESC") - result = cursor1.fetchall() + # 连接 MicroMsg.db 数据库，并执行查询 + db = sqlite3.connect(MicroMsg_db_path) + cursor = db.cursor() + cursor.execute( + "SELECT A.UserName, A.NickName, A.Remark,B.bigHeadImgUrl FROM Contact A,ContactHeadImgUrl B ORDER BY NickName ASC") + result = cursor.fetchall() for row in result: # 获取用户名、昵称、备注和聊天记录数量 - db2 = sqlite3.connect(MicroMsg_db_path) - cursor2 = db2.cursor() - cursor2.execute("SELECT UserName, NickName, Remark FROM Contact WHERE UserName=?", (row[0],)) - result2 = cursor2.fetchone() - if result2: - username, nickname, remark = result2 - chat_count = row[1] - - # 拼接四列数据为元组 - row_data = {"username": username, "nickname": nickname, "remark": remark, "chat_count": chat_count, - "isChatRoom": username.startswith("@chatroom")} - users.append(row_data) - cursor2.close() - db2.close() - cursor1.close() - db1.close() + username, nickname, remark, headImgUrl = row + users.append({"username": username, "nickname": nickname, "remark": remark, "headImgUrl": headImgUrl}) + cursor.close() + db.close() return users +def msg_db_connect(func): + @wraps(func) + def wrapper(MSG_db_path, *args, **kwargs): + # 连接 MSG.db 数据库，并执行查询 + if isinstance(MSG_db_path, list): + # alias, file_path + databases = {f"MSG{i}": db_path for i, db_path in enumerate(MSG_db_path)} + elif isinstance(MSG_db_path, str): + databases = {"MSG": MSG_db_path} + else: + raise TypeError("MSG_db_path 类型错误") + + # 连接 MSG_ALL.db 数据库，并执行查询 + if len(databases) > 1: + db = sqlite3.connect(":memory:") + attach_databases(db, databases) + else: + db = sqlite3.connect(list(databases.values())[0]) + + result = func("", db=db, databases=databases, *args, **kwargs) + + # 断开数据库连接 + if len(databases) > 1: + for alias in databases: + db.execute(f"DETACH DATABASE {alias}") + db.close() + + return result + + return wrapper + + +@msg_db_connect +def get_chat_count(MSG_db_path: [str, list], db=None, databases=None): + """ + 获取聊天记录数量 + :param MSG_db_path: MSG.db 文件路径 + :return: 聊天记录数量列表 + """ + # 构造 SQL 查询，使用 UNION ALL 联合不同数据库的 MSG 表 + union_sql = " UNION ALL ".join( + f"SELECT StrTalker, COUNT(*) AS ChatCount FROM {alias}.MSG GROUP BY StrTalker" for alias in databases) + + sql = f"SELECT StrTalker, SUM(ChatCount) AS TotalChatCount FROM ({union_sql}) GROUP BY StrTalker ORDER BY TotalChatCount DESC" + + chat_counts = [] + result = execute_sql(db, sql) + for row in result: + username, chat_count = row + row_data = {"username": username, "chat_count": chat_count} + chat_counts.append(row_data) + return chat_counts + + def load_base64_audio_data(MsgSvrID, MediaMSG_all_db_path): wave_data = read_audio(MsgSvrID, is_wave=True, DB_PATH=MediaMSG_all_db_path) if not wave_data: diff --git a/pywxdump/analyzer/utils.py b/pywxdump/analyzer/utils.py index acd334b..7ab16d1 100644 --- a/pywxdump/analyzer/utils.py +++ b/pywxdump/analyzer/utils.py @@ -18,5 +18,50 @@ def get_md5(data): md5.update(data) return md5.hexdigest() + +def attach_databases(connection, databases): + """ + 将多个数据库附加到给定的SQLite连接。 + 参数： + -连接：SQLite连接 + -数据库：包含数据库别名和文件路径的词典 + """ + cursor = connection.cursor() + for alias, file_path in databases.items(): + attach_command = f"ATTACH DATABASE '{file_path}' AS {alias};" + cursor.execute(attach_command) + connection.commit() + + +def detach_databases(connection, aliases): + """ + 从给定的 SQLite 连接中分离多个数据库。 + + 参数： + - connection： SQLite连接 + - aliases：要分离的数据库别名列表 + """ + cursor = connection.cursor() + for alias in aliases: + detach_command = f"DETACH DATABASE {alias};" + cursor.execute(detach_command) + connection.commit() + + +def execute_sql(connection, sql, params=None): + """ + 执行给定的SQL语句，返回结果。 + 参数： + - connection： SQLite连接 + - sql：要执行的SQL语句 + - params：SQL语句中的参数 + """ + cursor = connection.cursor() + if params: + cursor.execute(sql, params) + else: + cursor.execute(sql) + return cursor.fetchall() + if __name__ == '__main__': pass From af9118279bf38e92a5e8248517e4872eef8042eb Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Mon, 4 Dec 2023 18:49:51 +0800 Subject: [PATCH 03/14] =?UTF-8?q?=E9=87=8D=E6=9E=84=E4=BB=A3=E7=A0=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 1 + pywxdump/analyzer/db_parsing.py | 88 ++++++++++----------------------- 2 files changed, 28 insertions(+), 61 deletions(-) diff --git a/README.md b/README.md index 1b61730..fa261f9 100644 --- a/README.md +++ b/README.md @@ -66,6 +66,7 @@ * 7.增加数据库合并功能，方便查看 * 8.增加企业微信的支持 * 9.增加获取实时聊天记录的功能 +* 10.聊天记录关键字搜索 或者按时间点搜索列出所有的联系人记录就nice了 注: 欢迎大家提供更多的想法，或者提供代码，一起完善这个项目。 diff --git a/pywxdump/analyzer/db_parsing.py b/pywxdump/analyzer/db_parsing.py index 239648e..bc22f2e 100644 --- a/pywxdump/analyzer/db_parsing.py +++ b/pywxdump/analyzer/db_parsing.py @@ -147,55 +147,13 @@ def decompress_CompressContent(data): """ if data is None or not isinstance(data, bytes): return None - i = 0 - uncompressed_data = [] - - while i < len(data): - # 读取第一个字节 - byte1 = data[i] - # 从高四位得到无匹配的明文长度Lh - Lh = byte1 >> 4 - Li = byte1 & 0x0F # 从低四位得到匹配的数据长度Li - if Lh == 0x0f: - # 继续读取下一个字节L1 - i = i + 1 - L1 = data[i] - Lh = L1 + 0x0f - - while data[i] == 0xFF: - # 继续读取下一个字节，并累加 - i = i + 1 - Lh += data[i] - i += 1 - uncompressed_data.extend(data[i:i + Lh]) - i = i + Lh - - # 读取匹配的偏移量Offset - bias = data[i:i + 2] - offset = int.from_bytes(bias, byteorder='little') - i = i + 2 - - # 读取匹配的数据长度Li - if Li != 0x0F: - # 实际的匹配压缩长度即为Li = Li + 4 - Li += 4 - else: - # 从偏移量后面的可选匹配长度区域读取一个字节M1 - M1 = data[i] - Li += M1 - while M1 == 0xFF: - # 继续读取下一个字节M2 - i += 1 - M1 = data[i] - Li += M1 - Li += 4 - # 复制匹配的数据到解压缩数据缓冲区 - uncompressed_data.extend(uncompressed_data[-offset:-offset + Li]) - # break - - # 转换为字符串 - uncompressed_data = bytes(uncompressed_data) # .decode('utf-8') - return uncompressed_data + import lz4.block + try: + uncompressed_data = lz4.block.decompress(data, uncompressed_size=len(data) << 8).decode('utf-8', + errors='ignore') + return uncompressed_data + except Exception as e: + return None def read_audio_buf(buf_data, is_play=False, is_wave=False, rate=24000): @@ -284,18 +242,26 @@ def wordcloud_generator(text, out_path="", is_show=False, img_path="", font="C:\ wordcloud_img.show() -def read_BytesExtra(data): - if data[0:2] == '0x': - data = data[2:] - data = bytes.fromhex(data) - print(data) - print('*' * 50) - print(data.decode('utf-8', errors='ignore')) +def read_BytesExtra(BytesExtra): + import blackboxprotobuf + + if BytesExtra is None or not isinstance(BytesExtra, bytes): + return None + try: + deserialize_data, message_type = blackboxprotobuf.decode_message(BytesExtra) + return deserialize_data + except Exception as e: + return None if __name__ == '__main__': - data = '' - read_BytesExtra(data) - print('*' * 50) - data2 = '' - read_BytesExtra(data2) + DB = sqlite3.connect(r"D:\_code\py_code\test\a2023\b0821wxdb\merge_wfwx_db\kkWxMsg\MSG_all.db") + cursor = DB.cursor() + sql = "select MsgSvrID,BytesExtra from MSG where BytesExtra is not null and StrTalker='24724392255@chatroom' order by CreateTime desc limit 10" + DBdata = cursor.execute(sql).fetchall() + for i in DBdata: + MsgSvrID, BytesExtra = i + data = read_BytesExtra(BytesExtra) + # 提取特定键的信息 + print(MsgSvrID,"\n",data) + print("-" * 64) \ No newline at end of file From 5c9a88df8fdae7e596dcb629b0d4f65043d57bac Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Tue, 5 Dec 2023 11:17:52 +0800 Subject: [PATCH 04/14] =?UTF-8?q?parse.py=20=E4=BF=AE=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pywxdump/wx_info/get_bias_addr.py | 35 +- pywxdump/wx_info/test.rb | 625 ++++++++++++++++++++++++++++++ 2 files changed, 659 insertions(+), 1 deletion(-) create mode 100644 pywxdump/wx_info/test.rb diff --git a/pywxdump/wx_info/get_bias_addr.py b/pywxdump/wx_info/get_bias_addr.py index 6e53120..e793b10 100644 --- a/pywxdump/wx_info/get_bias_addr.py +++ b/pywxdump/wx_info/get_bias_addr.py @@ -251,6 +251,23 @@ class BiasAddr: key, bais = verify_key(maybe_key, wx_db_path) return bais + def test(self): + phone_type1 = "iphone\x00" + phone_type2 = "android\x00" + Regex = re.compile(r"^[a-zA-Z0-9_]+$") + # 内存搜索 + module = pymem.process.module_from_name(self.pm.process_handle, self.module_name) + print(hex(module.lpBaseOfDll)) + phone_type1_bias = self.pm.pattern_scan_module(phone_type1.encode(), self.module_name, return_multiple=True) + phone_type2_bias = self.pm.pattern_scan_module(phone_type2.encode(), self.module_name, return_multiple=True) + phone_type_bias = phone_type1_bias + phone_type2_bias + print(len(phone_type1_bias)) + for i in phone_type_bias[::-1]: + for j in range(i, i - 1000, -16): + a = get_info_without_key(self.process_handle, j, 32) + if Regex.match(a) and len(a) >= 6: + print(a) + def run(self, logging_path=False, version_list_path=None): if not self.get_process_handle()[0]: return None @@ -263,6 +280,8 @@ class BiasAddr: key_bias = self.get_key_bias2(self.db_path, account_bias) if key_bias <= 0 and self.db_path else key_bias rdata = {self.version: [name_bias, account_bias, mobile_bias, 0, key_bias]} + print(rdata) + self.test() if version_list_path and os.path.exists(version_list_path): with open(version_list_path, "r", encoding="utf-8") as f: data = json.load(f) @@ -276,4 +295,18 @@ class BiasAddr: elif logging_path: print("{版本号:昵称,账号,手机号,邮箱,KEY}") print(rdata) - return rdata \ No newline at end of file + return rdata + + +def get_info_without_key(h_process, address, n_size=64): + array = ctypes.create_string_buffer(n_size) + if ReadProcessMemory(h_process, void_p(address), array, n_size, 0) == 0: return "None" + array = bytes(array).split(b"\x00")[0] if b"\x00" in array else bytes(array) + text = array.decode('utf-8', errors='ignore') + return text.strip() if text.strip() != "" else "None" + + +if __name__ == '__main__': + account, mobile, name, key, db_path = "test", "test", "test", "0000", "test" + bias_addr = BiasAddr(account, mobile, name, key, db_path) + bias_addr.run() diff --git a/pywxdump/wx_info/test.rb b/pywxdump/wx_info/test.rb new file mode 100644 index 0000000..517e82e --- /dev/null +++ b/pywxdump/wx_info/test.rb @@ -0,0 +1,625 @@ +pub mod procmem; + +use std::{ + fs::{self, File}, + io::Read, + ops::{Add, Sub}, + path::PathBuf, +}; + +use rayon::prelude::*; +use aes::cipher::{KeyIvInit, BlockDecryptMut, block_padding::NoPadding}; +use anyhow::{Ok, Result}; +use hmac::{Hmac, Mac}; +use pbkdf2::pbkdf2_hmac_array; +use regex::Regex; +use sha1::Sha1; +use windows::Win32::{ + Foundation::CloseHandle, + System::{ + Diagnostics::Debug::ReadProcessMemory, + Memory::{PAGE_EXECUTE_READWRITE, PAGE_EXECUTE_WRITECOPY, PAGE_READWRITE, PAGE_WRITECOPY, MEM_PRIVATE}, + Threading::{OpenProcess, PROCESS_QUERY_INFORMATION, PROCESS_VM_READ}, + }, +}; +use yara::Compiler; + +use crate::procmem::ProcessMemoryInfo; + +const RULES: &str = r#" + rule GetPhoneTypeStringOffset + { + strings: + $a = "iphone\x00" ascii fullword + $b = "android\x00" ascii fullword + + condition: + any of them + } + + rule GetDataDir + { + strings: + $a = /[a-zA-Z]:\\.{0,100}?\\WeChat Files\\[0-9a-zA-Z_-]{6,20}?\\/ + + condition: + $a + } +"#; + +#[derive(Debug, Clone)] +struct WechatInfo { + pub pid: u32, + pub version: String, + pub account_name: String, + pub phone_type: String, + pub data_dir: String, + pub key: String, +} + +impl std::fmt::Display for WechatInfo { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + write!( + f, + r#"======================================= +ProcessId: {} +WechatVersion: {} +AccountName: {} +PhoneType: {} +DataDir: {} +key: {} +======================================= +"#, + self.pid, + self.version, + self.account_name, + self.phone_type, + self.data_dir, + self.key + ) + } +} + +fn get_pid_by_name(pname: &str) -> Vec { + let mut result = vec![]; + unsafe { + for pp in tasklist::Tasklist::new() { + if pp.get_pname() == pname { + result.push(pp.get_pid()); + } + } + } + + result +} + +fn read_number(pid: u32, addr: usize) -> Result { + unsafe { + let hprocess = OpenProcess(PROCESS_VM_READ | PROCESS_QUERY_INFORMATION, false, pid)?; + + let mut result: T = T::default(); + + ReadProcessMemory( + hprocess, + addr as _, + std::mem::transmute(&mut result), + std::mem::size_of::(), + None, + )?; + + CloseHandle(hprocess)?; + Ok(result) + } +} + +fn read_string(pid: u32, addr: usize, size: usize) -> Result { + unsafe { + let hprocess = OpenProcess(PROCESS_VM_READ | PROCESS_QUERY_INFORMATION, false, pid)?; + + let mut buffer = vec![0; size]; + let _ = ReadProcessMemory(hprocess, addr as _, buffer.as_mut_ptr() as _, size, None); + + CloseHandle(hprocess)?; + + match buffer.iter().position(|&x| x == 0) { + Some(pos) => Ok(String::from_utf8(buffer[..pos].to_vec())?), + None => Ok(String::from_utf8(buffer)?), + } + } +} + +fn read_bytes(pid: u32, addr: usize, size: usize) -> Result> { + unsafe { + let hprocess = OpenProcess(PROCESS_VM_READ | PROCESS_QUERY_INFORMATION, false, pid)?; + + let mut buffer = vec![0; size]; + let _ = ReadProcessMemory(hprocess, addr as _, buffer.as_mut_ptr() as _, size, None)?; + + CloseHandle(hprocess)?; + + Ok(buffer) + } +} + +fn get_proc_file_version(pid: u32) -> String { + unsafe { + tasklist::get_proc_file_info(pid) + .get("FileVersion") + .expect("read file version failed") + .to_string() + } +} + +fn dump_wechat_info(pid: u32, special_data_dir: Option::<&PathBuf>) -> WechatInfo { + let version = get_proc_file_version(pid); + println!("[+] wechat version is {}", version); + + let pmis = procmem::get_mem_list(pid); + + let wechatwin_all_mem_infos: Vec<&ProcessMemoryInfo> = pmis + .iter() + .filter(|x| x.filename.is_some() && x.filename.clone().unwrap().contains("WeChatWin.dll")) + .collect(); + + let wechatwin_writable_mem_infos: Vec<&ProcessMemoryInfo> = wechatwin_all_mem_infos + .iter() + .filter(|x| { + (x.protect + & (PAGE_READWRITE + | PAGE_WRITECOPY + | PAGE_EXECUTE_READWRITE + | PAGE_EXECUTE_WRITECOPY)) + .0 + > 0 + }) + .map(|x| *x) + .collect(); + + let wechat_writeable_private_mem_infos: Vec<&ProcessMemoryInfo> = pmis + .iter() + .filter(|x| { + (x.protect & (PAGE_READWRITE | PAGE_WRITECOPY)).0 > 0 && x.mtype == MEM_PRIVATE + }) + .collect(); + + // 使用 yara 匹配到登录设备的地址和数据目录 + let compiler = Compiler::new().unwrap(); + let compiler = compiler + .add_rules_str(RULES) + .expect("Should have parsed rule"); + let rules = compiler + .compile_rules() + .expect("Should have compiled rules"); + let results = rules + .scan_process(pid, 0) + // .scan_file(r"C:\Users\thin0\Desktop\WeChatWin.dll", 0) + .expect("Should have scanned"); + + let phone_type_str_match = results + .iter() + .filter(|x| x.identifier == "GetPhoneTypeStringOffset") + .next() + .expect("unbale to find phone type string") + .strings + .iter() + .filter(|x| { + x.matches.iter().any(|y| { + wechatwin_writable_mem_infos + .iter() + .any(|z| y.base == z.base) + }) + }) + .next() + .expect("unbale to find phone type string") + .matches + .iter() + .filter(|x| { + wechatwin_writable_mem_infos + .iter() + .any(|y| x.base == y.base) + }) + .next() + .expect("unable to find phone type string"); + let phone_type_string_addr = phone_type_str_match.base + phone_type_str_match.offset; + let phone_type_string = + read_string(pid, phone_type_string_addr, 20).expect("read phone type string failed"); + let data_dir = if special_data_dir.is_some() { + special_data_dir.unwrap().clone().into_os_string().into_string().unwrap() + } else { + let data_dir_match = results + .iter() + .filter(|x| x.identifier == "GetDataDir") + .next() + .expect("unable to find data dir") + .strings + .first() + .expect("unable to find data dir") + .matches + .iter() + .filter(|x| wechat_writeable_private_mem_infos.iter().any(|pmi| pmi.base == x.base)) + .next() + .expect("unable to find data dir"); + String::from_utf8(data_dir_match.data.clone()).expect("data dir is invalid string") + }; + + println!("[+] login phone type is {}", phone_type_string); + println!("[+] wechat data dir is {}", data_dir); + + let align = std::mem::size_of::(); // x64 -> 16, x86 -> 8 + + // account_name 在 phone_type 前面，并且是 16 位补齐的，所以向前找，离得比较近不用找太远的 + let mut start = phone_type_string_addr - align; + let mut account_name_addr = start; + let mut account_name: Option = None; + let mut count = 0; + while start >= phone_type_string_addr - align * 20 { + // 名字长度>=16，就会变成指针，不直接存放字符串 + let account_name_point_address = read_number::(pid, start) + .expect("read account name point address failed"); + let result = if pmis.iter().any(|x| { + account_name_point_address >= x.base && account_name_point_address <= x.base + x.region_size + }) { + read_string(pid, account_name_point_address, 100) + } else { + read_string(pid, start, align) + }; + + if result.is_ok() { + let ac = result.unwrap(); + + // 微信号是字母、数字、下划线组合，6-20位 + let re = Regex::new(r"^[a-zA-Z0-9_]+$").unwrap(); + if re.is_match(&ac) && ac.len() >= 6 && ac.len() <= 20{ + // 首次命中可能是原始的 wxid_，第二次是修改后的微信号，找不到第二次说明注册后没改过微信号 + account_name = Some(ac); + account_name_addr = start; + count += 1; + if count == 2 { + break; + } + } + } + + start -= align; + } + + if account_name.is_none() { + panic!("not found account name address"); + } + let account_name = account_name.unwrap(); + println!("[+] account name is {}", account_name); + + // 读取一个文件准备暴力搜索key + const IV_SIZE: usize = 16; + const HMAC_SHA1_SIZE: usize = 20; + const KEY_SIZE: usize = 32; + const AES_BLOCK_SIZE: usize = 16; + const SALT_SIZE: usize = 16; + const PAGE_SIZE: usize = 4096; + let db_file_path = data_dir.clone() + "Msg\\Misc.db"; + let mut db_file = std::fs::File::open(&db_file_path).expect(format!("{} is not exsit", &db_file_path).as_str()); + let mut buf = [0u8; PAGE_SIZE]; + db_file.read(&mut buf[..]).expect("read Misc.db is failed"); + + // key 在微信号前面找 + let mut key: Option = None; + let mem_base = phone_type_str_match.base; + let mut key_point_addr = account_name_addr - align; + while key_point_addr >= mem_base { + let key_addr = read_number::(pid, key_point_addr).expect("find key addr failed in memory"); + + if wechat_writeable_private_mem_infos.iter().any(|x| key_addr >= x.base && key_addr <= x.base + x.region_size) { + let key_bytes = read_bytes(pid, key_addr, KEY_SIZE).expect("find key bytes failed in memory"); + if key_bytes.iter().filter(|&&x| x == 0x00).count() < 5 { + // 验证 key 是否有效 + let start = SALT_SIZE; + let end = PAGE_SIZE; + + // 获取到文件开头的 salt + let salt = buf[..SALT_SIZE].to_owned(); + // salt 异或 0x3a 得到 mac_salt， 用于计算HMAC + let mac_salt: Vec = salt.to_owned().iter().map(|x| x ^ 0x3a).collect(); + + // 通过 key_bytes 和 salt 迭代64000次解出一个新的 key，用于解密 + let new_key = pbkdf2_hmac_array::(&key_bytes, &salt, 64000); + + // 通过 key 和 mac_salt 迭代2次解出 mac_key + let mac_key = pbkdf2_hmac_array::(&new_key, &mac_salt, 2); + + // hash检验码对齐后长度 48，后面校验哈希用 + let mut reserve = IV_SIZE + HMAC_SHA1_SIZE; + reserve = if (reserve % AES_BLOCK_SIZE) == 0 { + reserve + } else { + ((reserve / AES_BLOCK_SIZE) + 1) * AES_BLOCK_SIZE + }; + + // 校验哈希 + type HamcSha1 = Hmac; + + unsafe { + let mut mac = HamcSha1::new_from_slice(&mac_key).expect("hmac_sha1 error, key length is invalid"); + mac.update(&buf[start..end-reserve+IV_SIZE]); + mac.update(std::mem::transmute::<_, &[u8; 4]>(&(1u32)).as_ref()); + let hash_mac = mac.finalize().into_bytes().to_vec(); + + let hash_mac_start_offset = end - reserve + IV_SIZE; + let hash_mac_end_offset = hash_mac_start_offset + hash_mac.len(); + if hash_mac == &buf[hash_mac_start_offset..hash_mac_end_offset] { + key = Some(hex::encode(key_bytes)); + break; + } + } + } + } + + key_point_addr -= align; + } + + if key.is_none() { + panic!("not found key"); + } + + WechatInfo { + pid, + version, + account_name, + phone_type: phone_type_string, + data_dir, + key: key.unwrap() + } +} + +fn scan_db_files(dir: String) -> Result> { + let mut result = vec![]; + + for entry in fs::read_dir(dir)?.filter_map(Result::ok) { + let path = entry.path(); + if path.is_dir() { + result.extend(scan_db_files(path.to_str().unwrap().to_string())?); + } else if let Some(ext) = path.extension() { + if ext == "db" { + result.push(path); + } + } + } + + Ok(result) +} + +fn read_file_content(path: &PathBuf) -> Result> { + let mut file = File::open(path)?; + let mut buffer = Vec::new(); + file.read_to_end(&mut buffer)?; + Ok(buffer) +} + +fn decrypt_db_file(path: &PathBuf, pkey: &String) -> Result> { + const IV_SIZE: usize = 16; + const HMAC_SHA1_SIZE: usize = 20; + const KEY_SIZE: usize = 32; + const AES_BLOCK_SIZE: usize = 16; + const SQLITE_HEADER: &str = "SQLite format 3"; + + let mut buf = read_file_content(path)?; + + // 如果开头是 SQLITE_HEADER，说明不需要解密 + if buf.starts_with(SQLITE_HEADER.as_bytes()) { + return Ok(buf); + } + + let mut decrypted_buf: Vec = vec![]; + + // 获取到文件开头的 salt，用于解密 key + let salt = buf[..16].to_owned(); + // salt 异或 0x3a 得到 mac_salt， 用于计算HMAC + let mac_salt: Vec = salt.to_owned().iter().map(|x| x ^ 0x3a).collect(); + + unsafe { + // 通过 pkey 和 salt 迭代64000次解出一个新的 key，用于解密 + let pass = hex::decode(pkey)?; + let key = pbkdf2_hmac_array::(&pass, &salt, 64000); + + // 通过 key 和 mac_salt 迭代2次解出 mac_key + let mac_key = pbkdf2_hmac_array::(&key, &mac_salt, 2); + + // 开头是 sqlite 头 + decrypted_buf.extend(SQLITE_HEADER.as_bytes()); + decrypted_buf.push(0x00); + + // hash检验码对齐后长度 48，后面校验哈希用 + let mut reserve = IV_SIZE + HMAC_SHA1_SIZE; + reserve = if (reserve % AES_BLOCK_SIZE) == 0 { + reserve + } else { + ((reserve / AES_BLOCK_SIZE) + 1) * AES_BLOCK_SIZE + }; + + // 每页大小4096，分别解密 + const PAGE_SIZE: usize = 4096; + let total_page = (buf.len() as f64 / PAGE_SIZE as f64).ceil() as usize; + for cur_page in 0..total_page { + let offset = if cur_page == 0 { + 16 + } else { + 0 + }; + let start: usize = cur_page * PAGE_SIZE; + let end: usize = if (cur_page + 1) == total_page { + start + buf.len() % PAGE_SIZE + } else { + start + PAGE_SIZE + }; + + // 搞不懂，这一堆0是干啥的，文件大小直接翻倍了 + if buf[start..end].iter().all(|&x| x == 0) { + decrypted_buf.extend(&buf[start..]); + break; + } + + // 校验哈希 + type HamcSha1 = Hmac; + + let mut mac = HamcSha1::new_from_slice(&mac_key)?; + mac.update(&buf[start+offset..end-reserve+IV_SIZE]); + mac.update(std::mem::transmute::<_, &[u8; 4]>(&(cur_page as u32 + 1)).as_ref()); + let hash_mac = mac.finalize().into_bytes().to_vec(); + + let hash_mac_start_offset = end - reserve + IV_SIZE; + let hash_mac_end_offset = hash_mac_start_offset + hash_mac.len(); + if hash_mac != &buf[hash_mac_start_offset..hash_mac_end_offset] { + return Err(anyhow::anyhow!("Hash verification failed")); + } + + // aes-256-cbc 解密内容 + type Aes256CbcDec = cbc::Decryptor; + + let iv = &buf[end-reserve..end-reserve+IV_SIZE]; + decrypted_buf.extend(Aes256CbcDec::new(&key.into(), iv.into()) + .decrypt_padded_mut::(&mut buf[start+offset..end-reserve]) + .map_err(anyhow::Error::msg)?); + decrypted_buf.extend(&buf[end-reserve..end]); + } + } + + Ok(decrypted_buf) +} + +fn dump_all_by_pid(wechat_info: &WechatInfo, output: &PathBuf) { + let msg_dir = wechat_info.data_dir.clone() + "Msg"; + let dbfiles = scan_db_files(msg_dir.clone()).unwrap(); + println!("scanned {} files in {}", dbfiles.len(), &msg_dir); + println!("decryption in progress, please wait..."); + + // 创建输出目录 + if output.is_file() { + panic!("the output path must be a directory"); + } + let output_dir = PathBuf::from(format!("{}\\wechat_{}", output.to_str().unwrap(), wechat_info.pid)); + if !output_dir.exists() { + std::fs::create_dir_all(&output_dir).unwrap(); + } + + dbfiles.par_iter().for_each(|dbfile| { + let mut db_file_dir = PathBuf::new(); + let mut dest = PathBuf::new(); + db_file_dir.push(&output_dir); + db_file_dir.push(dbfile.parent().unwrap().strip_prefix(PathBuf::from(msg_dir.clone())).unwrap()); + dest.push(db_file_dir.clone()); + dest.push(dbfile.file_name().unwrap()); + + if !db_file_dir.exists() { + std::fs::create_dir_all(db_file_dir).unwrap(); + } + + std::fs::write(dest, decrypt_db_file(&dbfile, &wechat_info.key).unwrap()).unwrap(); + }); + println!("decryption complete!!"); + println!("output to {}", output_dir.to_str().unwrap()); + println!(); +} + +fn cli() -> clap::Command { + use clap::{arg, value_parser, Command}; + + Command::new("wechat-dump-rs") + .version("1.0.5") + .about("A wechat db dump tool") + .author("REinject") + .help_template("{name} ({version}) - {author}\n{about}\n{all-args}") + .disable_version_flag(true) + .arg(arg!(-p --pid "pid of wechat").value_parser(value_parser!(u32))) + .arg( + arg!(-k --key "key for offline decryption of db file") + .value_parser(value_parser!(String)), + ) + .arg(arg!(-f --file "special a db file path").value_parser(value_parser!(PathBuf))) + .arg(arg!(-d --"data-dir" "special wechat data dir path (pid is required)").value_parser(value_parser!(PathBuf))) + .arg(arg!(-o --output "decrypted database output path").value_parser(value_parser!(PathBuf))) + .arg(arg!(-a --all "dump key and decrypt db files")) +} + +fn main() { + // 解析参数 + let matches = cli().get_matches(); + + let all = matches.get_flag("all"); + let output = match matches.get_one::("output") { + Some(o) => PathBuf::from(o), + None => PathBuf::from(format!("{}{}", std::env::temp_dir().to_str().unwrap(), "wechat_dump")) + }; + + let key_option = matches.get_one::("key"); + let file_option = matches.get_one::("file"); + let data_dir_option = matches.get_one::("data-dir"); + let pid_option = matches.get_one::("pid"); + + match (pid_option, key_option, file_option) { + (None, None, None) => { + for pid in get_pid_by_name("WeChat.exe") { + let wechat_info = dump_wechat_info(pid, None); + println!("{}", wechat_info); + println!(); + + // 需要对所有db文件进行解密 + if all { + dump_all_by_pid(&wechat_info, &output); + } + } + }, + (Some(&pid), None, None) => { + let wechat_info = dump_wechat_info(pid, data_dir_option); + println!("{}", wechat_info); + println!(); + + // 需要对所有db文件进行解密 + if all { + dump_all_by_pid(&wechat_info, &output); + } + }, + (None, Some(key), Some(file)) => { + if !file.exists() { + panic!("the target file does not exist"); + } + + match file.is_dir() { + true => { + let dbfiles = scan_db_files(file.to_str().unwrap().to_string()).unwrap(); + println!("scanned {} files in {}", dbfiles.len(), &file.to_str().unwrap()); + println!("decryption in progress, please wait..."); + + // 创建输出目录 + if output.is_file() { + panic!("the output path must be a directory"); + } + if !output.exists() { + std::fs::create_dir_all(&output).unwrap(); + } + + for dbfile in dbfiles { + let mut db_file_dir = PathBuf::new(); + let mut dest = PathBuf::new(); + db_file_dir.push(&output); + db_file_dir.push(dbfile.parent().unwrap().strip_prefix(PathBuf::from(&file)).unwrap()); + dest.push(db_file_dir.clone()); + dest.push(dbfile.file_name().unwrap()); + + if !db_file_dir.exists() { + std::fs::create_dir_all(db_file_dir).unwrap(); + } + + std::fs::write(dest, decrypt_db_file(&dbfile, &key).unwrap()).unwrap(); + } + println!("decryption complete!!"); + println!("output to {}", output.to_str().unwrap()); + println!(); + }, + false => { + std::fs::write(&output, decrypt_db_file(&file, &key).unwrap()).unwrap(); + println!("output to {}", output.to_str().unwrap()); + } + } + }, + _ => panic!("param error") + } +} \ No newline at end of file From 76f4e7697abc3be2a1b1a68f230db42f12ed17f6 Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 09:57:45 +0800 Subject: [PATCH 05/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E6=96=87=E6=A1=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 2 +- doc/FAQ.md | 31 ++++++++++++++++++++++ doc/UserGuide.md | 1 + pywxdump/wx_info/get_wx_info.py | 46 +++++++++++++++++++++------------ 4 files changed, 63 insertions(+), 17 deletions(-) create mode 100644 doc/FAQ.md create mode 100644 doc/UserGuide.md diff --git a/README.md b/README.md index fa261f9..7a6cd35 100644 --- a/README.md +++ b/README.md @@ -55,7 +55,7 @@ -**更新计划** +**更新计划【由于家里有事，这些计划(除8、9、1)将会在12.30号前统一更新】** * 1.每个人聊天记录分析，生成词云。 * 2.分析每个人每天的聊天数量，生成折线图（天-聊天数量） diff --git a/doc/FAQ.md b/doc/FAQ.md new file mode 100644 index 0000000..5532094 --- /dev/null +++ b/doc/FAQ.md @@ -0,0 +1,31 @@ +## 怎么下载 + +方法一：进入链接[releases](https://github.com/xaoyaoo/PyWxDump/releases)下载最新版本exe文件 + +方法二：（本地安装有python环境）使用pip安装 +``` +pip install PyWxDump +``` + +## 怎么使用 + +1. 打开微信电脑版，登录微信 +2. 进入下载的exe文件所在目录,使用pip安装，跳过此步 +3. 按住shift键，同时鼠标右键，选择“在此处打开命令窗口”，或者“在此处打开powershell窗口” +4. 在命令窗口中输入`PyWxDump`，按回车键（pip安装输入`wxdump`） +5. 接着根据提示输入参数，回车键确认 + +## 每台电脑上微信账户的key是不是永远不会变？ + +同一设备，同一微信，不删除数据情况下，key（密钥）相同 + +## 刚打开就闪退的问题 + +1. 请检查是否由cmd或powershell打开，不要直接双击exe文件 +2. 如果使用方法二安装，请检查是否已经安装了python环境（如果使用pip安装，命令行直接输入wxdump即可） +3. 如果使用方法二安装，检查是否将python安装目录添加到了环境变量中，如果没有，请添加 + +## 如果遇到其他问题 + +截图或复制错误信息，请全截图或全复制，不要只截一部分或复制部分信息。 +通过issue反馈问题，或者加入QQ群：[加入QQ群](https://s.xaoyo.top/gOLUDl) diff --git a/doc/UserGuide.md b/doc/UserGuide.md new file mode 100644 index 0000000..9da8ef7 --- /dev/null +++ b/doc/UserGuide.md @@ -0,0 +1 @@ + 用户指南 \ No newline at end of file diff --git a/pywxdump/wx_info/get_wx_info.py b/pywxdump/wx_info/get_wx_info.py index 49b9316..c9b1d13 100644 --- a/pywxdump/wx_info/get_wx_info.py +++ b/pywxdump/wx_info/get_wx_info.py @@ -53,19 +53,31 @@ def pattern_scan_all(handle, pattern, *, return_multiple=False, find_num=100): def get_info_wxid(h_process): + # find_num = 1000 + # addrs = pattern_scan_all(h_process, br'\\FileStorage', return_multiple=True, find_num=find_num) + # wxids = [] + # for addr in addrs: + # array = ctypes.create_string_buffer(33) + # if ReadProcessMemory(h_process, void_p(addr - 21), array, 33, 0) == 0: return "None" + # array = bytes(array) # .decode('utf-8', errors='ignore') + # array = array.split(br'\FileStorage')[0] + # for part in [b'}', b'\x7f', b'\\']: + # if part in array: + # array = array.split(part)[1] + # wxids.append(array.decode('utf-8', errors='ignore')) + # break + # wxid = max(wxids, key=wxids.count) if wxids else "None" + find_num = 100 - addrs = pattern_scan_all(h_process, br'\\FileStorage', return_multiple=True, find_num=find_num) + addrs = pattern_scan_all(h_process, br'\\Msg\\FTSContact', return_multiple=True, find_num=find_num) wxids = [] for addr in addrs: - array = ctypes.create_string_buffer(33) - if ReadProcessMemory(h_process, void_p(addr - 21), array, 33, 0) == 0: return "None" - array = bytes(array) # .decode('utf-8', errors='ignore') - array = array.split(br'\FileStorage')[0] - for part in [b'}', b'\x7f', b'\\']: - if part in array: - array = array.split(part)[1] - wxids.append(array.decode('utf-8', errors='ignore')) - break + array = ctypes.create_string_buffer(80) + if ReadProcessMemory(h_process, void_p(addr - 30), array, 80, 0) == 0: return "None" + array = bytes(array) # .split(b"\\")[0] + array = array.split(b"\\Msg")[0] + array = array.split(b"\\")[-1] + wxids.append(array.decode('utf-8', errors='ignore')) wxid = max(wxids, key=wxids.count) if wxids else "None" return wxid @@ -82,13 +94,14 @@ def get_info_filePath(wxid="all"): # 获取文档实际目录 try: # 打开注册表路径 - key = winreg.OpenKey(winreg.HKEY_CURRENT_USER,r"Software\Microsoft\Windows\CurrentVersion\Explorer\User Shell Folders") - documents_path = winreg.QueryValueEx(key, "Personal")[0]# 读取文档实际目录路径 - winreg.CloseKey(key) # 关闭注册表 + key = winreg.OpenKey(winreg.HKEY_CURRENT_USER, + r"Software\Microsoft\Windows\CurrentVersion\Explorer\User Shell Folders") + documents_path = winreg.QueryValueEx(key, "Personal")[0] # 读取文档实际目录路径 + winreg.CloseKey(key) # 关闭注册表 documents_paths = os.path.split(documents_path) if "%" in documents_paths[0]: - w_dir = os.environ.get(documents_paths[0].replace("%","")) - w_dir = os.path.join(w_dir,os.path.join(*documents_paths[1:])) + w_dir = os.environ.get(documents_paths[0].replace("%", "")) + w_dir = os.path.join(w_dir, os.path.join(*documents_paths[1:])) else: w_dir = documents_path except Exception as e: @@ -182,6 +195,7 @@ def read_info(version_list, is_logging=False): return result + def get_wechat_db(require_list: Union[List[str], str] = "all", msg_dir: str = None, wxid: Union[List[str], str] = None, is_logging: bool = False): if not msg_dir: @@ -241,4 +255,4 @@ def get_wechat_db(require_list: Union[List[str], str] = "all", msg_dir: str = No print("-" * 32) print(f"[+] 共 {len(user_dirs)} 个微信账号") - return user_dirs \ No newline at end of file + return user_dirs From 4faf48b8c9433d861510baebeb4e835b06081c7e Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 10:03:43 +0800 Subject: [PATCH 06/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E6=96=87=E6=A1=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 7a6cd35..3375a0d 100644 --- a/README.md +++ b/README.md @@ -55,7 +55,7 @@ -**更新计划【由于家里有事，这些计划(除8、9、1)将会在12.30号前统一更新】** +**更新计划【由于家里有事，这些计划(除8、9、10)将会在12.30号前统一更新】** * 1.每个人聊天记录分析，生成词云。 * 2.分析每个人每天的聊天数量，生成折线图（天-聊天数量） @@ -181,6 +181,7 @@ PyWxDump 请提交[issues](https://github.com/xaoyaoo/PyWxDump/issues). * 如发现bug或有改进意见, 请提交[issues](https://github.com/xaoyaoo/PyWxDump/issues). * 如有其他想要的功能, 请提交[issues](https://github.com/xaoyaoo/PyWxDump/issues). +* 常见问题请参考[FAQ](./doc/FAQ.md)

提交issues方法(点击展开) From f69894fd9b637f5bab5c17adc6f4183f3f8ee28f Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 11:56:41 +0800 Subject: [PATCH 07/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.2.18?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 291 +-------------------------------------------- doc/CHANGELOG.md | 57 +++++++++ doc/FAQ.md | 65 ++++++++-- doc/UserGuide.md | 238 +++++++++++++++++++++++++++++++++++- tests/build_exe.py | 4 +- 5 files changed, 350 insertions(+), 305 deletions(-) create mode 100644 doc/CHANGELOG.md diff --git a/README.md b/README.md index 3375a0d..d2745e3 100644 --- a/README.md +++ b/README.md @@ -13,48 +13,6 @@ [![GitHub license](https://img.shields.io/pypi/l/pywxdump)](https://github.com/xaoyaoo/PyWxDump/blob/master/LICENSE) [![Publish](https://github.com/xaoyaoo/PyWxDump/actions/workflows/publish.yml/badge.svg)](https://github.com/xaoyaoo/PyWxDump/actions/workflows/publish.yml) -
-更新日志(点击展开)： - -* 2023.12.03 增加分析聊天记录的功能，生成词云、绘制折线图等 -* 2023.12.03 修复部分bug,更改获取wx文件夹方式 [#34](https://github.com/xaoyaoo/PyWxDump/issues/34) -* 2023.12.01 为exe添加图标 -* 2023.11.30 优化命令行界面 -* 2023.11.29 添加异形wxid获取方式，添加用户路径自动获取，重建说明文档，对新手更友好 -* 2023.11.28 修改wxid获取方式，修复部分bug -* 2023.11.27 解决相对导入包的问题,完善错误提示 -* 2023.11.25 聊天记录查看工具bootstrap更换国内cdn -* 2023.11.22 添加all命令中解密错误数据日志写入文件,修复部分bug -* 2023.11.16 增加聊天记录导出为html -* 2023.11.15 添加test文件，添加自动构建可执行文件的脚本,添加版本描述 -* 2023.11.15 [v2.2.5变化较大]重构解密脚本的返回值，重构命令行参数 -* 2023.11.15 修复无法获取wxid的bug -* 2023.11.14 修复部分bug -* 2023.11.11 添加聊天记录解析，查看工具,修复部分bug -* 2023.11.10 修复wxdump wx_db命令行参数错误 [#19](https://github.com/xaoyaoo/PyWxDump/issues/19) -* 2023.11.08 增加3.9.8.15版本支持 -* 2023.10.31 修复3.9.2.*版本无法正常运行 -* 2023.10.28 添加自动发布到pypi的github action -* 2023.10.28 修复3.9.5.91版本的偏移 -* 2023.10.24 add auto get bias addr ,not need input key or wx folder path. -* 2023.10.17 add LICENSE -* 2023.10.16 添加"3.9.7.15"版本的偏移[#12](https://github.com/xaoyaoo/PyWxDump/issues/12) - ,感谢@[GentlemanII](https://github.com/GentlemanII) -* 2023.10.15 将整个项目作为包安装，增加命令行统一操作 -* 2023.10.14 整体重构项目，优化代码，增加命令行统一操作 -* 2023.10.11 添加"3.9.5.81"版本的偏移[#10](https://github.com/xaoyaoo/PyWxDump/issues/10) - ,感谢@[sv3nbeast](https://github.com/sv3nbeast) -* 2023.10.09 获取key基址偏移可以根据微信文件夹获取，不需要输入key -* 2023.10.09 优化代码，删减没必要代码，重新修改获取基址代码，加快运行速度（需要安装新的库 pymem） -* 2023.10.07 修改获取基址内存搜索方式，防止进入死循环 -* 2023.10.07 增加了3.9.7.29版本的偏移地址 -* 2023.10.06 增加命令行解密数据库 -* 2023.09.28 增加了数据库部分解析 -* 2023.09.15 增加了3.9.7.25版本的偏移地址 - -
- - **更新计划【由于家里有事，这些计划(除8、9、10)将会在12.30号前统一更新】** * 1.每个人聊天记录分析，生成词云。 @@ -70,31 +28,6 @@ 注: 欢迎大家提供更多的想法，或者提供代码，一起完善这个项目。 -
-贡献代码方法(点击展开)： - - -提交拉取请求（Pull Request），请按照以下步骤进行操作： - -1. Fork 仓库：首先，在项目的 GitHub 页面上点击 "Fork" 按钮，将项目的代码仓库 fork 到你自己的 GitHub 账号下。 -2. 克隆仓库：在你自己的 GitHub 账号下找到 fork 后的项目，点击 `Clone or download`按钮，获取仓库的 URL。然后在本地使用 Git - 命令克隆仓库到你的电脑上：`git clone 仓库的URL` -3. 创建分支：在本地仓库中创建一个新的分支，用于进行你的修改：`git checkout -b 你的分支名` -4. 进行修改：在新创建的分支中进行你需要的修改，包括修复错误、改进现有功能或添加新功能。 -5. 提交修改：使用 `git add` 和 `git commit` 命令将修改提交到本地仓库中： - ``` - git add . - git commit -m "提交信息" - ``` -6. 推送分支：使用 `git push` 命令将你的本地分支推送到你的 GitHub 仓库中：`git push origin 你的分支名` -7. 提交拉取请求：在你的 GitHub 仓库页面上切换到你刚刚推送的分支，点击 "New pull request" - 按钮，填写一些说明信息，然后点击 `Create pull request` - 按钮，即可提交拉取请求。 -8. 等待审核：等待项目维护者审核你的拉取请求，如果通过审核，你的修改将会被合并到项目的主分支中 -9. 接着你就可以在右边的`contributors`中看到你的名字了。 - -
- 欢迎加入交流qq群：577704006 or 点击链接加入群聊[pywxdump功能交流](https://s.xaoyo.top/gOLUDl)。 @@ -123,11 +56,6 @@ * （8）微信需要登录状态才能获取数据库密钥 * （9）支持导出聊天记录为html,备份微信聊天记录,方便查看 -**版本差异** - -1. 版本 < 3.7.0.30 只运行不登录能获取个人信息，登录后可以获取数据库密钥 -2. 版本 > 3.7.0.30 只运行不登录不能获取个人信息，登录后都能获取 - **利用场景** 1. 钓鱼攻击(通过钓鱼控到的机器通常都是登录状态) @@ -182,15 +110,7 @@ PyWxDump * 如发现bug或有改进意见, 请提交[issues](https://github.com/xaoyaoo/PyWxDump/issues). * 如有其他想要的功能, 请提交[issues](https://github.com/xaoyaoo/PyWxDump/issues). * 常见问题请参考[FAQ](./doc/FAQ.md) - -
-提交issues方法(点击展开) - -[![image](https://github.com/xaoyaoo/PyWxDump/assets/37209452/22d15ea6-05d6-4f30-8b24-04a51a59d56d)](https://github.com/xaoyaoo/PyWxDump/issues) -[![image](https://github.com/xaoyaoo/PyWxDump/assets/37209452/9bdc2961-694a-4104-a1c7-05403220c0fe)](https://github.com/xaoyaoo/PyWxDump/issues) -[![image](https://github.com/xaoyaoo/PyWxDump/assets/37209452/be1d8913-5a6e-4fff-9fcd-00edb33d255b)](https://github.com/xaoyaoo/PyWxDump/issues) - -
+* 更新日志请参考[CHANGELOG](./doc/CHANGELOG.md)
Star History(click to expand) @@ -201,214 +121,7 @@ PyWxDump # 二、使用说明 -## 1. 安装 - -### 1.1 从pypi安装(安装稳定版) - -```shell script -pip install -U pywxdump -``` - -### 1.2 从源码安装(安装最新版) - -
-点击展开 - -```shell script -pip install -U git+git://github.com/xaoyaoo/PyWxDump.git -``` - -或 - -```shell script -git clone https://github.com/xaoyaoo/PyWxDump.git -cd PyWxDump -python -m pip install -U . -``` - -
- -### 1.3 使用可执行文件exe - -
-点击展开 - -* 1.下载[release](https://github.com/xaoyaoo/PyWxDump/releases)中的exe文件 -* 2.或者自行打包，打包脚本见： [build_exe.py](./tests/build_exe.py) - -```shell -cd tests -python build_exe.py -``` - -
- -## 2. 使用 - -### 2.1 命令行 - -激活虚拟环境后（如果有的话），在项目根目录下运行： - -```shell script -wxdump 模式 [参数] -# 运行模式(mode): -# bias 获取微信基址偏移 -# info 获取微信信息 -# db_path 获取微信文件夹路径 -# decrypt 解密微信数据库 -# dbshow 聊天记录查看 -# export 聊天记录导出为html -# all 获取微信信息，解密微信数据库，查看聊天记录 -``` - -*示例* - -
-点击展开示例 - -以下是示例命令： - -##### 获取微信基址偏移 - -```bash -pywxdump bias --mobile <手机号> --name <微信昵称> --account <微信账号> [--key <密钥>] [--db_path <已登录账号的微信文件夹路径>] [--version_list_path <微信版本偏移文件路径>] -``` - -##### 获取微信信息 - -```bash -pywxdump info [--version_list_path <微信版本偏移文件路径>] -``` - -##### 获取微信文件夹路径 - -```bash -pywxdump db_path [-r <需要的数据库名称>] [-wf ] [-id ] -``` - -##### 解密微信数据库 - -```bash -pywxdump decrypt -k <密钥> -i <数据库路径(目录or文件)> [-o <输出路径>] -``` - -##### 查看聊天记录 - -```bash -pywxdump dbshow -msg <解密后的 MSG.db 的路径> -micro <解密后的 MicroMsg.db 的路径> -media <解密后的 MediaMSG.db 的路径> [-fs ] -``` - -##### 导出聊天记录为 HTML - -```bash -pywxdump export -u <微信账号> -o <导出路径> -msg <解密后的 MSG.db 的路径> -micro <解密后的 MicroMsg.db 的路径> -media <解密后的 MediaMSG.db 的路径> [-fs ] -``` - -##### 获取微信信息、解密数据库、查看聊天记录，一条命令搞定，开放端口5000，浏览器访问查看聊天记录（支持局域网其他机器访问） - -```bash -pywxdump all -``` - -
- -### 2.2 python API - -*import调用示例* - -
-点击展开示例 - -```python -# 单独使用各模块，返回值一般为字典，参数参考命令行 -from pywxdump import * - -# ************************************************************************************************ # -# 获取微信基址偏移 -args = { - "mode": "bias", - "mobile": "13800138000", # 手机号 - "name": "微信昵称", # 微信昵称 - "account": "微信账号", # 微信账号 - "key": "密钥", # 密钥（可选） - "db_path": "已登录账号的微信文件夹路径", # 微信文件夹路径（可选） - "version_list_path": "微信版本偏移文件路径" # 微信版本偏移文件路径（可选） -} -bias_addr = BiasAddr(args["account"], args["mobile"], args["name"], args["key"], args["db_path"]) -result = bias_addr.run(True, args["version_list_path"]) -# ************************************************************************************************ # -# 获取微信信息 -wx_info = read_info(VERSION_LIST, True) - -# 获取微信文件夹路径 -args = { - "mode": "db_path", - "require_list": "all", # 需要的数据库名称（可选） - "wx_files": "WeChat Files", # 'WeChat Files'路径（可选） - "wxid": "wxid_", # wxid_，用于确认用户文件夹（可选） -} -user_dirs = get_wechat_db(args["require_list"], args["wx_files"], args["wxid"], True) -# ************************************************************************************************ # -# 解密微信数据库 -args = { - "mode": "decrypt", - "key": "密钥", # 密钥 - "db_path": "数据库路径(目录or文件)", # 数据库路径 - "out_path": "/path/to/decrypted" # 输出路径（必须是目录）[默认为当前路径下decrypted文件夹] -} -result = batch_decrypt(args["key"], args["db_path"], args["out_path"], True) -# ************************************************************************************************ # -# 查看聊天记录 -args = { - "mode": "dbshow", - "msg_path": "解密后的 MSG.db 的路径", # 解密后的 MSG.db 的路径 - "micro_path": "解密后的 MicroMsg.db 的路径", # 解密后的 MicroMsg.db 的路径 - "media_path": "解密后的 MediaMSG.db 的路径", # 解密后的 MediaMSG.db 的路径 - "filestorage_path": "文件夹FileStorage的路径" # 文件夹 FileStorage 的路径（用于显示图片） -} -from flask import Flask, request, jsonify, render_template, g -import logging - -app = Flask(__name__, template_folder='./show_chat/templates') -app.logger.setLevel(logging.ERROR) - - -@app.before_request -def before_request(): - g.MSG_ALL_db_path = args["msg_path"] - g.MicroMsg_db_path = args["micro_path"] - g.MediaMSG_all_db_path = args["media_path"] - g.FileStorage_path = args["filestorage_path"] - g.USER_LIST = get_user_list(args["msg_path"], args["micro_path"]) - - -app.register_blueprint(app_show_chat) -print("[+] 请使用浏览器访问 http://127.0.0.1:5000/ 查看聊天记录") -app.run(debug=False) -# ************************************************************************************************ # -# 导出聊天记录为 HTML -args = { - "mode": "export", - "username": "微信账号", # 微信账号（聊天对象账号） - "outpath": "/path/to/export", # 导出路径 - "msg_path": "解密后的 MSG.db 的路径", # 解密后的 MSG.db 的路径 - "micro_path": "解密后的 MicroMsg.db 的路径", # 解密后的 MicroMsg.db 的路径 - "media_path": "解密后的 MediaMSG.db 的路径", # 解密后的 MediaMSG.db 的路径 - "filestorage_path": "文件夹FileStorage的路径" # 文件夹 FileStorage 的路径（用于显示图片） -} -export(args["username"], args["outpath"], args["msg_path"], args["micro_path"], args["media_path"], - args["filestorage_path"]) -``` - -
- -更多使用方法参考[tests](./tests)文件夹下的[test_*.py](./tests/)文件 - -### 2.3 可执行文件exe - -进入exe文件所在目录，运行： `wxdump.exe 模式 [参数]`，方法同[命令行](#21-命令行) - -### 2.4 其他说明 +详细使用说明见[UserGuide.md](./doc/UserGuide.md) 【注】: diff --git a/doc/CHANGELOG.md b/doc/CHANGELOG.md new file mode 100644 index 0000000..8791f3c --- /dev/null +++ b/doc/CHANGELOG.md @@ -0,0 +1,57 @@ +# 更新日志 + +## v2.3.0 (2023-12-30) + +### 新功能 + +- 每个人聊天记录分析，生成词云。 +- 分析每个人每天的聊天数量，生成折线图（天-聊天数量） +- 分析不同的人的月聊天数量，年聊天数量，生成折线图 +- 生成年度可视化报告 +- 创建GUI图形界面，方便使用 +- 查看群聊中具体发言成员的ID +- 增加数据库合并功能，方便查看 + +### 优化 + +- 修复部分bug + +## version < v2.2.18 (2023-12-06) + +### 优化/新功能 + +* 2023.12.03 增加分析聊天记录的功能，生成词云、绘制折线图等 +* 2023.12.03 修复部分bug,更改获取wx文件夹方式 [#34](https://github.com/xaoyaoo/PyWxDump/issues/34) +* 2023.12.01 为exe添加图标 +* 2023.11.30 优化命令行界面 +* 2023.11.29 添加异形wxid获取方式，添加用户路径自动获取，重建说明文档，对新手更友好 +* 2023.11.28 修改wxid获取方式，修复部分bug +* 2023.11.27 解决相对导入包的问题,完善错误提示 +* 2023.11.25 聊天记录查看工具bootstrap更换国内cdn +* 2023.11.22 添加all命令中解密错误数据日志写入文件,修复部分bug +* 2023.11.16 增加聊天记录导出为html +* 2023.11.15 添加test文件，添加自动构建可执行文件的脚本,添加版本描述 +* 2023.11.15 [v2.2.5变化较大]重构解密脚本的返回值，重构命令行参数 +* 2023.11.15 修复无法获取wxid的bug +* 2023.11.14 修复部分bug +* 2023.11.11 添加聊天记录解析，查看工具,修复部分bug +* 2023.11.10 修复wxdump wx_db命令行参数错误 [#19](https://github.com/xaoyaoo/PyWxDump/issues/19) +* 2023.11.08 增加3.9.8.15版本支持 +* 2023.10.31 修复3.9.2.*版本无法正常运行 +* 2023.10.28 添加自动发布到pypi的github action +* 2023.10.28 修复3.9.5.91版本的偏移 +* 2023.10.24 add auto get bias addr ,not need input key or wx folder path. +* 2023.10.17 add LICENSE +* 2023.10.16 添加"3.9.7.15"版本的偏移[#12](https://github.com/xaoyaoo/PyWxDump/issues/12) + ,感谢@[GentlemanII](https://github.com/GentlemanII) +* 2023.10.15 将整个项目作为包安装，增加命令行统一操作 +* 2023.10.14 整体重构项目，优化代码，增加命令行统一操作 +* 2023.10.11 添加"3.9.5.81"版本的偏移[#10](https://github.com/xaoyaoo/PyWxDump/issues/10) + ,感谢@[sv3nbeast](https://github.com/sv3nbeast) +* 2023.10.09 获取key基址偏移可以根据微信文件夹获取，不需要输入key +* 2023.10.09 优化代码，删减没必要代码，重新修改获取基址代码，加快运行速度（需要安装新的库 pymem） +* 2023.10.07 修改获取基址内存搜索方式，防止进入死循环 +* 2023.10.07 增加了3.9.7.29版本的偏移地址 +* 2023.10.06 增加命令行解密数据库 +* 2023.09.28 增加了数据库部分解析 +* 2023.09.15 增加了3.9.7.25版本的偏移地址 \ No newline at end of file diff --git a/doc/FAQ.md b/doc/FAQ.md index 5532094..1c6131e 100644 --- a/doc/FAQ.md +++ b/doc/FAQ.md @@ -1,13 +1,15 @@ -## 怎么下载 +# FAQ -方法一：进入链接[releases](https://github.com/xaoyaoo/PyWxDump/releases)下载最新版本exe文件 +- ### 一、怎么下载/怎么安装？ -方法二：（本地安装有python环境）使用pip安装 -``` -pip install PyWxDump -``` + 方法一：进入链接[releases](https://github.com/xaoyaoo/PyWxDump/releases)下载最新版本exe文件 -## 怎么使用 + 方法二：（本地安装有python环境）使用pip安装 + ``` + pip install PyWxDump + ``` + +- ### 二、怎么使用 1. 打开微信电脑版，登录微信 2. 进入下载的exe文件所在目录,使用pip安装，跳过此步 @@ -15,17 +17,54 @@ pip install PyWxDump 4. 在命令窗口中输入`PyWxDump`，按回车键（pip安装输入`wxdump`） 5. 接着根据提示输入参数，回车键确认 -## 每台电脑上微信账户的key是不是永远不会变？ +- ### 三、每台电脑上微信账户的key是不是永远不会变？ -同一设备，同一微信，不删除数据情况下，key（密钥）相同 +1. 同一设备，同一微信，不删除数据情况下，key（密钥）相同 -## 刚打开就闪退的问题 +- ### 四、刚打开就闪退的问题 1. 请检查是否由cmd或powershell打开，不要直接双击exe文件 2. 如果使用方法二安装，请检查是否已经安装了python环境（如果使用pip安装，命令行直接输入wxdump即可） 3. 如果使用方法二安装，检查是否将python安装目录添加到了环境变量中，如果没有，请添加 -## 如果遇到其他问题 +- ### 五、如果遇到其他问题 -截图或复制错误信息，请全截图或全复制，不要只截一部分或复制部分信息。 -通过issue反馈问题，或者加入QQ群：[加入QQ群](https://s.xaoyo.top/gOLUDl) +1. 截图或复制错误信息，请全截图或全复制，不要只截一部分或复制部分信息。 +2. 通过issue反馈问题，或者加入QQ群：[加入QQ群](https://s.xaoyo.top/gOLUDl) + + +- ### 六、如何为PyWxDump贡献代码（提交pr） + + 提交拉取请求（Pull Request），请按照以下步骤进行操作： + +1. Fork 仓库：首先，在项目的 GitHub 页面上点击 "Fork" 按钮，将项目的代码仓库 fork 到你自己的 GitHub 账号下。 +2. 克隆仓库：在你自己的 GitHub 账号下找到 fork 后的项目，点击 `Clone or download`按钮，获取仓库的 URL。然后在本地使用 Git + 命令克隆仓库到你的电脑上：`git clone 仓库的URL` +3. 创建分支：在本地仓库中创建一个新的分支，用于进行你的修改：`git checkout -b 你的分支名` +4. 进行修改：在新创建的分支中进行你需要的修改，包括修复错误、改进现有功能或添加新功能。 +5. 提交修改：使用 `git add` 和 `git commit` 命令将修改提交到本地仓库中： + ``` + git add . + git commit -m "提交信息" + ``` +6. 推送分支：使用 `git push` 命令将你的本地分支推送到你的 GitHub 仓库中：`git push origin 你的分支名` +7. 提交拉取请求：在你的 GitHub 仓库页面上切换到你刚刚推送的分支，点击 "New pull request" + 按钮，填写一些说明信息，然后点击 `Create pull request` + 按钮，即可提交拉取请求。 +8. 等待审核：等待项目维护者审核你的拉取请求，如果通过审核，你的修改将会被合并到项目的主分支中 +9. 接着你就可以在右边的`contributors`中看到你的名字了。 + +- ### 七、为什么要提交issues + +1. 提交issues可以帮助我们更好的改进项目，提高项目的质量 + +- ### 八、提交issues方法 + +[![image](https://github.com/xaoyaoo/PyWxDump/assets/37209452/22d15ea6-05d6-4f30-8b24-04a51a59d56d)](https://github.com/xaoyaoo/PyWxDump/issues) +[![image](https://github.com/xaoyaoo/PyWxDump/assets/37209452/9bdc2961-694a-4104-a1c7-05403220c0fe)](https://github.com/xaoyaoo/PyWxDump/issues) +[![image](https://github.com/xaoyaoo/PyWxDump/assets/37209452/be1d8913-5a6e-4fff-9fcd-00edb33d255b)](https://github.com/xaoyaoo/PyWxDump/issues) + +- ### 九、版本差异 + +1. 版本 < 3.7.0.30 只运行不登录能获取个人信息，登录后可以获取数据库密钥 +2. 版本 > 3.7.0.30 只运行不登录不能获取个人信息，登录后都能获取 diff --git a/doc/UserGuide.md b/doc/UserGuide.md index 9da8ef7..a19ecaf 100644 --- a/doc/UserGuide.md +++ b/doc/UserGuide.md @@ -1 +1,237 @@ - 用户指南 \ No newline at end of file +# 用户指南 + +## 小白教程 + +### 1. 安装 + +下载[release](https://github.com/xaoyaoo/PyWxDump/releases)中的exe文件 + +### 2. 使用 + +* 1.打开微信电脑版，登录微信 +* 2.进入下载的exe文件所在目录 +* 3.按住shift键，同时鼠标右键，选择“在此处打开命令窗口”，或者“在此处打开powershell窗口” +* 4.在命令窗口中输入`wxdump`，按回车键 +* 5.接着根据提示输入参数，回车键确认 +eg: + +```shell script +wxdump info # 获取微信信息 +wxdump decrypt -k "密钥" -i "数据库路径(目录or文件)" # 解密微信数据库,引号必须在英文状态下输入 +wxdump dbshow -msg "解密后的 MSG.db 的路径" -micro "解密后的 MicroMsg.db 的路径" -media "解密后的 MediaMSG.db 的路径" # 接着打开浏览器访问 http://127.0.0.1:5000/ 查看聊天记录 +wxdump export -u "微信账号" -o "导出路径" -msg "解密后的 MSG.db 的路径" -micro "解密后的 MicroMsg.db 的路径" -media "解密后的 MediaMSG.db 的路径" # 导出聊天记录为html +wxdump all # 获取微信信息，解密微信数据库，查看聊天记录 +``` + +* 6.查看聊天记录后，按`ctrl+c`退出 + +## 详细教程(小白请看上面) + +### 1. 安装 + +#### 1.1 从pypi安装(安装稳定版) + +```shell script +pip install -U pywxdump +``` + +#### 1.2 从源码安装(安装最新版) + +```shell script +pip install -U git+git://github.com/xaoyaoo/PyWxDump.git +``` + +或 + +```shell script +git clone https://github.com/xaoyaoo/PyWxDump.git +cd PyWxDump +python -m pip install -U . +``` + +#### 1.3 打包可执行文件exe + +* 自行打包，打包脚本见： [build_exe.py](./tests/build_exe.py) + +```shell +cd tests +python build_exe.py +# 接着执行输出的打包脚本 +``` + +* 直接下载打包好的exe文件：[release](https://github.com/xaoyaoo/PyWxDump/releases) + +### 2. 使用 + +#### 2.1 命令行 + +激活虚拟环境后（如果有的话），在项目根目录下运行： + +```shell script +wxdump 模式 [参数] +# 运行模式(mode): +# bias 获取微信基址偏移 +# info 获取微信信息 +# db_path 获取微信文件夹路径 +# decrypt 解密微信数据库 +# dbshow 聊天记录查看 +# export 聊天记录导出为html +# all 获取微信信息，解密微信数据库，查看聊天记录 +``` + +*示例* + +
+点击展开示例 + +以下是示例命令： + +##### 获取微信基址偏移 + +```bash +pywxdump bias --mobile <手机号> --name <微信昵称> --account <微信账号> [--key <密钥>] [--db_path <已登录账号的微信文件夹路径>] [--version_list_path <微信版本偏移文件路径>] +``` + +##### 获取微信信息 + +```bash +pywxdump info [--version_list_path <微信版本偏移文件路径>] +``` + +##### 获取微信文件夹路径 + +```bash +pywxdump db_path [-r <需要的数据库名称>] [-wf ] [-id ] +``` + +##### 解密微信数据库 + +```bash +pywxdump decrypt -k <密钥> -i <数据库路径(目录or文件)> [-o <输出路径>] +``` + +##### 查看聊天记录 + +```bash +pywxdump dbshow -msg <解密后的 MSG.db 的路径> -micro <解密后的 MicroMsg.db 的路径> -media <解密后的 MediaMSG.db 的路径> [-fs ] +``` + +##### 导出聊天记录为 HTML + +```bash +pywxdump export -u <微信账号> -o <导出路径> -msg <解密后的 MSG.db 的路径> -micro <解密后的 MicroMsg.db 的路径> -media <解密后的 MediaMSG.db 的路径> [-fs ] +``` + +##### 获取微信信息、解密数据库、查看聊天记录，一条命令搞定，开放端口5000，浏览器访问查看聊天记录（支持局域网其他机器访问） + +```bash +pywxdump all +``` + +
+ +#### 2.2 python API + +*import调用示例* + +
+点击展开示例 + +```python +# 单独使用各模块，返回值一般为字典，参数参考命令行 +from pywxdump import * + +# ************************************************************************************************ # +# 获取微信基址偏移 +args = { + "mode": "bias", + "mobile": "13800138000", # 手机号 + "name": "微信昵称", # 微信昵称 + "account": "微信账号", # 微信账号 + "key": "密钥", # 密钥（可选） + "db_path": "已登录账号的微信文件夹路径", # 微信文件夹路径（可选） + "version_list_path": "微信版本偏移文件路径" # 微信版本偏移文件路径（可选） +} +bias_addr = BiasAddr(args["account"], args["mobile"], args["name"], args["key"], args["db_path"]) +result = bias_addr.run(True, args["version_list_path"]) +# ************************************************************************************************ # +# 获取微信信息 +wx_info = read_info(VERSION_LIST, True) + +# 获取微信文件夹路径 +args = { + "mode": "db_path", + "require_list": "all", # 需要的数据库名称（可选） + "wx_files": "WeChat Files", # 'WeChat Files'路径（可选） + "wxid": "wxid_", # wxid_，用于确认用户文件夹（可选） +} +user_dirs = get_wechat_db(args["require_list"], args["wx_files"], args["wxid"], True) +# ************************************************************************************************ # +# 解密微信数据库 +args = { + "mode": "decrypt", + "key": "密钥", # 密钥 + "db_path": "数据库路径(目录or文件)", # 数据库路径 + "out_path": "/path/to/decrypted" # 输出路径（必须是目录）[默认为当前路径下decrypted文件夹] +} +result = batch_decrypt(args["key"], args["db_path"], args["out_path"], True) +# ************************************************************************************************ # +# 查看聊天记录 +args = { + "mode": "dbshow", + "msg_path": "解密后的 MSG.db 的路径", # 解密后的 MSG.db 的路径 + "micro_path": "解密后的 MicroMsg.db 的路径", # 解密后的 MicroMsg.db 的路径 + "media_path": "解密后的 MediaMSG.db 的路径", # 解密后的 MediaMSG.db 的路径 + "filestorage_path": "文件夹FileStorage的路径" # 文件夹 FileStorage 的路径（用于显示图片） +} +from flask import Flask, request, jsonify, render_template, g +import logging + +app = Flask(__name__, template_folder='./show_chat/templates') +app.logger.setLevel(logging.ERROR) + + +@app.before_request +def before_request(): + g.MSG_ALL_db_path = args["msg_path"] + g.MicroMsg_db_path = args["micro_path"] + g.MediaMSG_all_db_path = args["media_path"] + g.FileStorage_path = args["filestorage_path"] + g.USER_LIST = get_user_list(args["msg_path"], args["micro_path"]) + + +app.register_blueprint(app_show_chat) +print("[+] 请使用浏览器访问 http://127.0.0.1:5000/ 查看聊天记录") +app.run(debug=False) +# ************************************************************************************************ # +# 导出聊天记录为 HTML +args = { + "mode": "export", + "username": "微信账号", # 微信账号（聊天对象账号） + "outpath": "/path/to/export", # 导出路径 + "msg_path": "解密后的 MSG.db 的路径", # 解密后的 MSG.db 的路径 + "micro_path": "解密后的 MicroMsg.db 的路径", # 解密后的 MicroMsg.db 的路径 + "media_path": "解密后的 MediaMSG.db 的路径", # 解密后的 MediaMSG.db 的路径 + "filestorage_path": "文件夹FileStorage的路径" # 文件夹 FileStorage 的路径（用于显示图片） +} +export(args["username"], args["outpath"], args["msg_path"], args["micro_path"], args["media_path"], + args["filestorage_path"]) +``` + +
+ +更多使用方法参考[tests](../tests)文件夹下的[test_*.py](../tests/)文件 + +#### 2.3 可执行文件exe + +进入exe文件所在目录，运行： `wxdump.exe 模式 [参数]`，方法同[命令行](#21-命令行) + +### 3. FAQ + +详见[FAQ](./FAQ.md) + +### 4. 更新日志 + +详见[更新日志](./CHANGELOG.md) + + diff --git a/tests/build_exe.py b/tests/build_exe.py index 54452fa..cd5a43d 100644 --- a/tests/build_exe.py +++ b/tests/build_exe.py @@ -56,7 +56,7 @@ exe = EXE(pyz, a.zipfiles, a.datas, [], - name='pywxdump', + name='wxdump', debug=False, bootloader_ignore_signals=False, strip=False, @@ -78,7 +78,7 @@ coll = COLLECT(exe, strip=False, upx=True, upx_exclude=[], - name='pywxdump') + name='wxdump') ''' # 创建文件夹 From 0f6baa2820bf036661c7f003dc9d51f6a18ea20b Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 11:57:18 +0800 Subject: [PATCH 08/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.2.18?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pywxdump/wx_info/get_wx_info.py | 15 - pywxdump/wx_info/test.rb | 625 -------------------------------- 2 files changed, 640 deletions(-) delete mode 100644 pywxdump/wx_info/test.rb diff --git a/pywxdump/wx_info/get_wx_info.py b/pywxdump/wx_info/get_wx_info.py index c9b1d13..3edd36f 100644 --- a/pywxdump/wx_info/get_wx_info.py +++ b/pywxdump/wx_info/get_wx_info.py @@ -53,21 +53,6 @@ def pattern_scan_all(handle, pattern, *, return_multiple=False, find_num=100): def get_info_wxid(h_process): - # find_num = 1000 - # addrs = pattern_scan_all(h_process, br'\\FileStorage', return_multiple=True, find_num=find_num) - # wxids = [] - # for addr in addrs: - # array = ctypes.create_string_buffer(33) - # if ReadProcessMemory(h_process, void_p(addr - 21), array, 33, 0) == 0: return "None" - # array = bytes(array) # .decode('utf-8', errors='ignore') - # array = array.split(br'\FileStorage')[0] - # for part in [b'}', b'\x7f', b'\\']: - # if part in array: - # array = array.split(part)[1] - # wxids.append(array.decode('utf-8', errors='ignore')) - # break - # wxid = max(wxids, key=wxids.count) if wxids else "None" - find_num = 100 addrs = pattern_scan_all(h_process, br'\\Msg\\FTSContact', return_multiple=True, find_num=find_num) wxids = [] diff --git a/pywxdump/wx_info/test.rb b/pywxdump/wx_info/test.rb deleted file mode 100644 index 517e82e..0000000 --- a/pywxdump/wx_info/test.rb +++ /dev/null @@ -1,625 +0,0 @@ -pub mod procmem; - -use std::{ - fs::{self, File}, - io::Read, - ops::{Add, Sub}, - path::PathBuf, -}; - -use rayon::prelude::*; -use aes::cipher::{KeyIvInit, BlockDecryptMut, block_padding::NoPadding}; -use anyhow::{Ok, Result}; -use hmac::{Hmac, Mac}; -use pbkdf2::pbkdf2_hmac_array; -use regex::Regex; -use sha1::Sha1; -use windows::Win32::{ - Foundation::CloseHandle, - System::{ - Diagnostics::Debug::ReadProcessMemory, - Memory::{PAGE_EXECUTE_READWRITE, PAGE_EXECUTE_WRITECOPY, PAGE_READWRITE, PAGE_WRITECOPY, MEM_PRIVATE}, - Threading::{OpenProcess, PROCESS_QUERY_INFORMATION, PROCESS_VM_READ}, - }, -}; -use yara::Compiler; - -use crate::procmem::ProcessMemoryInfo; - -const RULES: &str = r#" - rule GetPhoneTypeStringOffset - { - strings: - $a = "iphone\x00" ascii fullword - $b = "android\x00" ascii fullword - - condition: - any of them - } - - rule GetDataDir - { - strings: - $a = /[a-zA-Z]:\\.{0,100}?\\WeChat Files\\[0-9a-zA-Z_-]{6,20}?\\/ - - condition: - $a - } -"#; - -#[derive(Debug, Clone)] -struct WechatInfo { - pub pid: u32, - pub version: String, - pub account_name: String, - pub phone_type: String, - pub data_dir: String, - pub key: String, -} - -impl std::fmt::Display for WechatInfo { - fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { - write!( - f, - r#"======================================= -ProcessId: {} -WechatVersion: {} -AccountName: {} -PhoneType: {} -DataDir: {} -key: {} -======================================= -"#, - self.pid, - self.version, - self.account_name, - self.phone_type, - self.data_dir, - self.key - ) - } -} - -fn get_pid_by_name(pname: &str) -> Vec { - let mut result = vec![]; - unsafe { - for pp in tasklist::Tasklist::new() { - if pp.get_pname() == pname { - result.push(pp.get_pid()); - } - } - } - - result -} - -fn read_number(pid: u32, addr: usize) -> Result { - unsafe { - let hprocess = OpenProcess(PROCESS_VM_READ | PROCESS_QUERY_INFORMATION, false, pid)?; - - let mut result: T = T::default(); - - ReadProcessMemory( - hprocess, - addr as _, - std::mem::transmute(&mut result), - std::mem::size_of::(), - None, - )?; - - CloseHandle(hprocess)?; - Ok(result) - } -} - -fn read_string(pid: u32, addr: usize, size: usize) -> Result { - unsafe { - let hprocess = OpenProcess(PROCESS_VM_READ | PROCESS_QUERY_INFORMATION, false, pid)?; - - let mut buffer = vec![0; size]; - let _ = ReadProcessMemory(hprocess, addr as _, buffer.as_mut_ptr() as _, size, None); - - CloseHandle(hprocess)?; - - match buffer.iter().position(|&x| x == 0) { - Some(pos) => Ok(String::from_utf8(buffer[..pos].to_vec())?), - None => Ok(String::from_utf8(buffer)?), - } - } -} - -fn read_bytes(pid: u32, addr: usize, size: usize) -> Result> { - unsafe { - let hprocess = OpenProcess(PROCESS_VM_READ | PROCESS_QUERY_INFORMATION, false, pid)?; - - let mut buffer = vec![0; size]; - let _ = ReadProcessMemory(hprocess, addr as _, buffer.as_mut_ptr() as _, size, None)?; - - CloseHandle(hprocess)?; - - Ok(buffer) - } -} - -fn get_proc_file_version(pid: u32) -> String { - unsafe { - tasklist::get_proc_file_info(pid) - .get("FileVersion") - .expect("read file version failed") - .to_string() - } -} - -fn dump_wechat_info(pid: u32, special_data_dir: Option::<&PathBuf>) -> WechatInfo { - let version = get_proc_file_version(pid); - println!("[+] wechat version is {}", version); - - let pmis = procmem::get_mem_list(pid); - - let wechatwin_all_mem_infos: Vec<&ProcessMemoryInfo> = pmis - .iter() - .filter(|x| x.filename.is_some() && x.filename.clone().unwrap().contains("WeChatWin.dll")) - .collect(); - - let wechatwin_writable_mem_infos: Vec<&ProcessMemoryInfo> = wechatwin_all_mem_infos - .iter() - .filter(|x| { - (x.protect - & (PAGE_READWRITE - | PAGE_WRITECOPY - | PAGE_EXECUTE_READWRITE - | PAGE_EXECUTE_WRITECOPY)) - .0 - > 0 - }) - .map(|x| *x) - .collect(); - - let wechat_writeable_private_mem_infos: Vec<&ProcessMemoryInfo> = pmis - .iter() - .filter(|x| { - (x.protect & (PAGE_READWRITE | PAGE_WRITECOPY)).0 > 0 && x.mtype == MEM_PRIVATE - }) - .collect(); - - // 使用 yara 匹配到登录设备的地址和数据目录 - let compiler = Compiler::new().unwrap(); - let compiler = compiler - .add_rules_str(RULES) - .expect("Should have parsed rule"); - let rules = compiler - .compile_rules() - .expect("Should have compiled rules"); - let results = rules - .scan_process(pid, 0) - // .scan_file(r"C:\Users\thin0\Desktop\WeChatWin.dll", 0) - .expect("Should have scanned"); - - let phone_type_str_match = results - .iter() - .filter(|x| x.identifier == "GetPhoneTypeStringOffset") - .next() - .expect("unbale to find phone type string") - .strings - .iter() - .filter(|x| { - x.matches.iter().any(|y| { - wechatwin_writable_mem_infos - .iter() - .any(|z| y.base == z.base) - }) - }) - .next() - .expect("unbale to find phone type string") - .matches - .iter() - .filter(|x| { - wechatwin_writable_mem_infos - .iter() - .any(|y| x.base == y.base) - }) - .next() - .expect("unable to find phone type string"); - let phone_type_string_addr = phone_type_str_match.base + phone_type_str_match.offset; - let phone_type_string = - read_string(pid, phone_type_string_addr, 20).expect("read phone type string failed"); - let data_dir = if special_data_dir.is_some() { - special_data_dir.unwrap().clone().into_os_string().into_string().unwrap() - } else { - let data_dir_match = results - .iter() - .filter(|x| x.identifier == "GetDataDir") - .next() - .expect("unable to find data dir") - .strings - .first() - .expect("unable to find data dir") - .matches - .iter() - .filter(|x| wechat_writeable_private_mem_infos.iter().any(|pmi| pmi.base == x.base)) - .next() - .expect("unable to find data dir"); - String::from_utf8(data_dir_match.data.clone()).expect("data dir is invalid string") - }; - - println!("[+] login phone type is {}", phone_type_string); - println!("[+] wechat data dir is {}", data_dir); - - let align = std::mem::size_of::(); // x64 -> 16, x86 -> 8 - - // account_name 在 phone_type 前面，并且是 16 位补齐的，所以向前找，离得比较近不用找太远的 - let mut start = phone_type_string_addr - align; - let mut account_name_addr = start; - let mut account_name: Option = None; - let mut count = 0; - while start >= phone_type_string_addr - align * 20 { - // 名字长度>=16，就会变成指针，不直接存放字符串 - let account_name_point_address = read_number::(pid, start) - .expect("read account name point address failed"); - let result = if pmis.iter().any(|x| { - account_name_point_address >= x.base && account_name_point_address <= x.base + x.region_size - }) { - read_string(pid, account_name_point_address, 100) - } else { - read_string(pid, start, align) - }; - - if result.is_ok() { - let ac = result.unwrap(); - - // 微信号是字母、数字、下划线组合，6-20位 - let re = Regex::new(r"^[a-zA-Z0-9_]+$").unwrap(); - if re.is_match(&ac) && ac.len() >= 6 && ac.len() <= 20{ - // 首次命中可能是原始的 wxid_，第二次是修改后的微信号，找不到第二次说明注册后没改过微信号 - account_name = Some(ac); - account_name_addr = start; - count += 1; - if count == 2 { - break; - } - } - } - - start -= align; - } - - if account_name.is_none() { - panic!("not found account name address"); - } - let account_name = account_name.unwrap(); - println!("[+] account name is {}", account_name); - - // 读取一个文件准备暴力搜索key - const IV_SIZE: usize = 16; - const HMAC_SHA1_SIZE: usize = 20; - const KEY_SIZE: usize = 32; - const AES_BLOCK_SIZE: usize = 16; - const SALT_SIZE: usize = 16; - const PAGE_SIZE: usize = 4096; - let db_file_path = data_dir.clone() + "Msg\\Misc.db"; - let mut db_file = std::fs::File::open(&db_file_path).expect(format!("{} is not exsit", &db_file_path).as_str()); - let mut buf = [0u8; PAGE_SIZE]; - db_file.read(&mut buf[..]).expect("read Misc.db is failed"); - - // key 在微信号前面找 - let mut key: Option = None; - let mem_base = phone_type_str_match.base; - let mut key_point_addr = account_name_addr - align; - while key_point_addr >= mem_base { - let key_addr = read_number::(pid, key_point_addr).expect("find key addr failed in memory"); - - if wechat_writeable_private_mem_infos.iter().any(|x| key_addr >= x.base && key_addr <= x.base + x.region_size) { - let key_bytes = read_bytes(pid, key_addr, KEY_SIZE).expect("find key bytes failed in memory"); - if key_bytes.iter().filter(|&&x| x == 0x00).count() < 5 { - // 验证 key 是否有效 - let start = SALT_SIZE; - let end = PAGE_SIZE; - - // 获取到文件开头的 salt - let salt = buf[..SALT_SIZE].to_owned(); - // salt 异或 0x3a 得到 mac_salt， 用于计算HMAC - let mac_salt: Vec = salt.to_owned().iter().map(|x| x ^ 0x3a).collect(); - - // 通过 key_bytes 和 salt 迭代64000次解出一个新的 key，用于解密 - let new_key = pbkdf2_hmac_array::(&key_bytes, &salt, 64000); - - // 通过 key 和 mac_salt 迭代2次解出 mac_key - let mac_key = pbkdf2_hmac_array::(&new_key, &mac_salt, 2); - - // hash检验码对齐后长度 48，后面校验哈希用 - let mut reserve = IV_SIZE + HMAC_SHA1_SIZE; - reserve = if (reserve % AES_BLOCK_SIZE) == 0 { - reserve - } else { - ((reserve / AES_BLOCK_SIZE) + 1) * AES_BLOCK_SIZE - }; - - // 校验哈希 - type HamcSha1 = Hmac; - - unsafe { - let mut mac = HamcSha1::new_from_slice(&mac_key).expect("hmac_sha1 error, key length is invalid"); - mac.update(&buf[start..end-reserve+IV_SIZE]); - mac.update(std::mem::transmute::<_, &[u8; 4]>(&(1u32)).as_ref()); - let hash_mac = mac.finalize().into_bytes().to_vec(); - - let hash_mac_start_offset = end - reserve + IV_SIZE; - let hash_mac_end_offset = hash_mac_start_offset + hash_mac.len(); - if hash_mac == &buf[hash_mac_start_offset..hash_mac_end_offset] { - key = Some(hex::encode(key_bytes)); - break; - } - } - } - } - - key_point_addr -= align; - } - - if key.is_none() { - panic!("not found key"); - } - - WechatInfo { - pid, - version, - account_name, - phone_type: phone_type_string, - data_dir, - key: key.unwrap() - } -} - -fn scan_db_files(dir: String) -> Result> { - let mut result = vec![]; - - for entry in fs::read_dir(dir)?.filter_map(Result::ok) { - let path = entry.path(); - if path.is_dir() { - result.extend(scan_db_files(path.to_str().unwrap().to_string())?); - } else if let Some(ext) = path.extension() { - if ext == "db" { - result.push(path); - } - } - } - - Ok(result) -} - -fn read_file_content(path: &PathBuf) -> Result> { - let mut file = File::open(path)?; - let mut buffer = Vec::new(); - file.read_to_end(&mut buffer)?; - Ok(buffer) -} - -fn decrypt_db_file(path: &PathBuf, pkey: &String) -> Result> { - const IV_SIZE: usize = 16; - const HMAC_SHA1_SIZE: usize = 20; - const KEY_SIZE: usize = 32; - const AES_BLOCK_SIZE: usize = 16; - const SQLITE_HEADER: &str = "SQLite format 3"; - - let mut buf = read_file_content(path)?; - - // 如果开头是 SQLITE_HEADER，说明不需要解密 - if buf.starts_with(SQLITE_HEADER.as_bytes()) { - return Ok(buf); - } - - let mut decrypted_buf: Vec = vec![]; - - // 获取到文件开头的 salt，用于解密 key - let salt = buf[..16].to_owned(); - // salt 异或 0x3a 得到 mac_salt， 用于计算HMAC - let mac_salt: Vec = salt.to_owned().iter().map(|x| x ^ 0x3a).collect(); - - unsafe { - // 通过 pkey 和 salt 迭代64000次解出一个新的 key，用于解密 - let pass = hex::decode(pkey)?; - let key = pbkdf2_hmac_array::(&pass, &salt, 64000); - - // 通过 key 和 mac_salt 迭代2次解出 mac_key - let mac_key = pbkdf2_hmac_array::(&key, &mac_salt, 2); - - // 开头是 sqlite 头 - decrypted_buf.extend(SQLITE_HEADER.as_bytes()); - decrypted_buf.push(0x00); - - // hash检验码对齐后长度 48，后面校验哈希用 - let mut reserve = IV_SIZE + HMAC_SHA1_SIZE; - reserve = if (reserve % AES_BLOCK_SIZE) == 0 { - reserve - } else { - ((reserve / AES_BLOCK_SIZE) + 1) * AES_BLOCK_SIZE - }; - - // 每页大小4096，分别解密 - const PAGE_SIZE: usize = 4096; - let total_page = (buf.len() as f64 / PAGE_SIZE as f64).ceil() as usize; - for cur_page in 0..total_page { - let offset = if cur_page == 0 { - 16 - } else { - 0 - }; - let start: usize = cur_page * PAGE_SIZE; - let end: usize = if (cur_page + 1) == total_page { - start + buf.len() % PAGE_SIZE - } else { - start + PAGE_SIZE - }; - - // 搞不懂，这一堆0是干啥的，文件大小直接翻倍了 - if buf[start..end].iter().all(|&x| x == 0) { - decrypted_buf.extend(&buf[start..]); - break; - } - - // 校验哈希 - type HamcSha1 = Hmac; - - let mut mac = HamcSha1::new_from_slice(&mac_key)?; - mac.update(&buf[start+offset..end-reserve+IV_SIZE]); - mac.update(std::mem::transmute::<_, &[u8; 4]>(&(cur_page as u32 + 1)).as_ref()); - let hash_mac = mac.finalize().into_bytes().to_vec(); - - let hash_mac_start_offset = end - reserve + IV_SIZE; - let hash_mac_end_offset = hash_mac_start_offset + hash_mac.len(); - if hash_mac != &buf[hash_mac_start_offset..hash_mac_end_offset] { - return Err(anyhow::anyhow!("Hash verification failed")); - } - - // aes-256-cbc 解密内容 - type Aes256CbcDec = cbc::Decryptor; - - let iv = &buf[end-reserve..end-reserve+IV_SIZE]; - decrypted_buf.extend(Aes256CbcDec::new(&key.into(), iv.into()) - .decrypt_padded_mut::(&mut buf[start+offset..end-reserve]) - .map_err(anyhow::Error::msg)?); - decrypted_buf.extend(&buf[end-reserve..end]); - } - } - - Ok(decrypted_buf) -} - -fn dump_all_by_pid(wechat_info: &WechatInfo, output: &PathBuf) { - let msg_dir = wechat_info.data_dir.clone() + "Msg"; - let dbfiles = scan_db_files(msg_dir.clone()).unwrap(); - println!("scanned {} files in {}", dbfiles.len(), &msg_dir); - println!("decryption in progress, please wait..."); - - // 创建输出目录 - if output.is_file() { - panic!("the output path must be a directory"); - } - let output_dir = PathBuf::from(format!("{}\\wechat_{}", output.to_str().unwrap(), wechat_info.pid)); - if !output_dir.exists() { - std::fs::create_dir_all(&output_dir).unwrap(); - } - - dbfiles.par_iter().for_each(|dbfile| { - let mut db_file_dir = PathBuf::new(); - let mut dest = PathBuf::new(); - db_file_dir.push(&output_dir); - db_file_dir.push(dbfile.parent().unwrap().strip_prefix(PathBuf::from(msg_dir.clone())).unwrap()); - dest.push(db_file_dir.clone()); - dest.push(dbfile.file_name().unwrap()); - - if !db_file_dir.exists() { - std::fs::create_dir_all(db_file_dir).unwrap(); - } - - std::fs::write(dest, decrypt_db_file(&dbfile, &wechat_info.key).unwrap()).unwrap(); - }); - println!("decryption complete!!"); - println!("output to {}", output_dir.to_str().unwrap()); - println!(); -} - -fn cli() -> clap::Command { - use clap::{arg, value_parser, Command}; - - Command::new("wechat-dump-rs") - .version("1.0.5") - .about("A wechat db dump tool") - .author("REinject") - .help_template("{name} ({version}) - {author}\n{about}\n{all-args}") - .disable_version_flag(true) - .arg(arg!(-p --pid "pid of wechat").value_parser(value_parser!(u32))) - .arg( - arg!(-k --key "key for offline decryption of db file") - .value_parser(value_parser!(String)), - ) - .arg(arg!(-f --file "special a db file path").value_parser(value_parser!(PathBuf))) - .arg(arg!(-d --"data-dir" "special wechat data dir path (pid is required)").value_parser(value_parser!(PathBuf))) - .arg(arg!(-o --output "decrypted database output path").value_parser(value_parser!(PathBuf))) - .arg(arg!(-a --all "dump key and decrypt db files")) -} - -fn main() { - // 解析参数 - let matches = cli().get_matches(); - - let all = matches.get_flag("all"); - let output = match matches.get_one::("output") { - Some(o) => PathBuf::from(o), - None => PathBuf::from(format!("{}{}", std::env::temp_dir().to_str().unwrap(), "wechat_dump")) - }; - - let key_option = matches.get_one::("key"); - let file_option = matches.get_one::("file"); - let data_dir_option = matches.get_one::("data-dir"); - let pid_option = matches.get_one::("pid"); - - match (pid_option, key_option, file_option) { - (None, None, None) => { - for pid in get_pid_by_name("WeChat.exe") { - let wechat_info = dump_wechat_info(pid, None); - println!("{}", wechat_info); - println!(); - - // 需要对所有db文件进行解密 - if all { - dump_all_by_pid(&wechat_info, &output); - } - } - }, - (Some(&pid), None, None) => { - let wechat_info = dump_wechat_info(pid, data_dir_option); - println!("{}", wechat_info); - println!(); - - // 需要对所有db文件进行解密 - if all { - dump_all_by_pid(&wechat_info, &output); - } - }, - (None, Some(key), Some(file)) => { - if !file.exists() { - panic!("the target file does not exist"); - } - - match file.is_dir() { - true => { - let dbfiles = scan_db_files(file.to_str().unwrap().to_string()).unwrap(); - println!("scanned {} files in {}", dbfiles.len(), &file.to_str().unwrap()); - println!("decryption in progress, please wait..."); - - // 创建输出目录 - if output.is_file() { - panic!("the output path must be a directory"); - } - if !output.exists() { - std::fs::create_dir_all(&output).unwrap(); - } - - for dbfile in dbfiles { - let mut db_file_dir = PathBuf::new(); - let mut dest = PathBuf::new(); - db_file_dir.push(&output); - db_file_dir.push(dbfile.parent().unwrap().strip_prefix(PathBuf::from(&file)).unwrap()); - dest.push(db_file_dir.clone()); - dest.push(dbfile.file_name().unwrap()); - - if !db_file_dir.exists() { - std::fs::create_dir_all(db_file_dir).unwrap(); - } - - std::fs::write(dest, decrypt_db_file(&dbfile, &key).unwrap()).unwrap(); - } - println!("decryption complete!!"); - println!("output to {}", output.to_str().unwrap()); - println!(); - }, - false => { - std::fs::write(&output, decrypt_db_file(&file, &key).unwrap()).unwrap(); - println!("output to {}", output.to_str().unwrap()); - } - } - }, - _ => panic!("param error") - } -} \ No newline at end of file From 5f59e490790c372a541944debc62b84f5c885b1e Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 11:57:36 +0800 Subject: [PATCH 09/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.2.18?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pywxdump/wx_info/decryption.py | 20 -------------------- 1 file changed, 20 deletions(-) diff --git a/pywxdump/wx_info/decryption.py b/pywxdump/wx_info/decryption.py index f0689c0..6d0aac9 100644 --- a/pywxdump/wx_info/decryption.py +++ b/pywxdump/wx_info/decryption.py @@ -205,23 +205,3 @@ def encrypt(key: str, db_path, out_path): enFile.write(encrypted) return True, [db_path, out_path, key] - - -if __name__ == '__main__': - # 创建命令行参数解析器 - parser = argparse.ArgumentParser() - parser.add_argument("-k", "--key", type=str, help="密钥", required=True) - parser.add_argument("-i", "--db_path", type=str, help="数据库路径(目录or文件)", required=True) - parser.add_argument("-o", "--out_path", type=str, - help="输出路径(必须是目录),输出文件为 out_path/de_{original_name}", required=True) - - # 解析命令行参数 - args = parser.parse_args() - - # 从命令行参数获取值 - key = args.key - db_path = args.db_path - out_path = args.out_path - - # 调用 decrypt 函数，并传入参数 - result = batch_decrypt(key, db_path, out_path, is_logging=True) From fab27cc9221be959414e7e738d79bfd5b2c5cffe Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 12:01:56 +0800 Subject: [PATCH 10/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.2.18?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index a52dee7..d168b55 100644 --- a/setup.py +++ b/setup.py @@ -3,7 +3,7 @@ from setuptools import setup, find_packages with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() -version = "2.2.17" +version = "2.3.0" install_requires = [ "psutil", From 1b8a7c7f8e639fad99f45bf802490a0507b838d7 Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 12:26:10 +0800 Subject: [PATCH 11/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.3.0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 36 +------------------ pywxdump/__init__.py | 2 +- pywxdump/analyzer/__init__.py | 2 +- pywxdump/ui/__init__.py | 2 +- .../ui/{view_chat => }/templates/chat.html | 0 .../ui/{view_chat => }/templates/index.html | 0 .../main_window.py => view_chat.py} | 2 +- pywxdump/ui/view_chat/__init__.py | 8 ----- setup.py | 11 +++--- tests/build_exe.py | 6 ++-- 10 files changed, 12 insertions(+), 57 deletions(-) rename pywxdump/ui/{view_chat => }/templates/chat.html (100%) rename pywxdump/ui/{view_chat => }/templates/index.html (100%) rename pywxdump/ui/{view_chat/main_window.py => view_chat.py} (99%) delete mode 100644 pywxdump/ui/view_chat/__init__.py diff --git a/README.md b/README.md index d2745e3..9ca9736 100644 --- a/README.md +++ b/README.md @@ -64,41 +64,7 @@ 4. 自行备份(日常备份自己留存) 5. 等等............... -## 3. 项目结构 - -
-点击展开 - -``` -PyWxDump -├─ pywxdump # 项目代码,存放各个模块 -│ ├─ analyse # 解析数据库 -│ │ └─ parse.py # 解析数据库脚本，可以解析语音、图片、聊天记录等 -│ ├─ bias_addr # 获取偏移地址 -│ │ └─ get_bias_addr.py # 获取偏移地址脚本 -│ ├─ decrypted # 解密数据库 -│ │ ├─ decrypt.py # 解密数据库脚本 -│ │ └─ get_wx_decrypted_db.py # 直接读取当前登录微信的数据库，解密后保存到当前目录下的decrypted文件夹中 -│ ├─ wx_info # 获取微信基本信息 -│ │ ├─ get_wx_info.py # 获取微信基本信息脚本 -│ │ └─ get_wx_db.py # 获取本地所有的微信相关数据库 -│ ├─ show_records # 显示聊天记录 -│ │ ├─ main_window.py # 显示聊天记录的窗口 -│ │ └─ templates # 显示聊天记录的html模板 -│ ├─ command.py # 命令行入口 -│ └─ version_list.json # 微信版本列表 (十进制)按顺序代表：微信昵称、微信账号、微信手机号、微信邮箱（默认0）、微信KEY、微信原始ID（wxid_******） -├─ doc # 项目文档 -│ ├─ python1.0_README.md # python1.0版本的README -│ ├─ wx数据库简述.md # wx数据库简述 -│ └─ CE获取基址.md # CE获取基址 -├─ README.md -├─ setup.py # 安装脚本 -└─ requirements.txt -``` - -
- -## 4. 其他 +## 3. 其他 [PyWxDump](https://github.com/xaoyaoo/PyWxDump)是[SharpWxDump](https://github.com/AdminTest0/SharpWxDump) 的经过重构python语言版本，同时添加了一些新的功能。 diff --git a/pywxdump/__init__.py b/pywxdump/__init__.py index 159680b..c46c15b 100644 --- a/pywxdump/__init__.py +++ b/pywxdump/__init__.py @@ -8,7 +8,7 @@ from .wx_info import BiasAddr,read_info, get_wechat_db,encrypt,batch_decrypt,decrypt from .wx_info import merge_copy_db, merge_msg_db, merge_media_msg_db from .analyzer.db_parsing import read_img_dat, read_emoji, decompress_CompressContent, read_audio_buf, read_audio, parse_xml_string -from .ui.view_chat import app_show_chat, get_user_list, export +from .ui import app_show_chat, get_user_list, export import os,json diff --git a/pywxdump/analyzer/__init__.py b/pywxdump/analyzer/__init__.py index 790c6b4..b3776ad 100644 --- a/pywxdump/analyzer/__init__.py +++ b/pywxdump/analyzer/__init__.py @@ -5,4 +5,4 @@ # Author: xaoyaoo # Date: 2023/09/27 # ------------------------------------------------------------------------------- -from .parse import read_img_dat, read_emoji, decompress_CompressContent, read_audio_buf, read_audio, parse_xml_string +from .db_parsing import read_img_dat, read_emoji, decompress_CompressContent, read_audio_buf, read_audio, parse_xml_string diff --git a/pywxdump/ui/__init__.py b/pywxdump/ui/__init__.py index 9874cd3..5d59823 100644 --- a/pywxdump/ui/__init__.py +++ b/pywxdump/ui/__init__.py @@ -5,7 +5,7 @@ # Author: xaoyaoo # Date: 2023/12/03 # ------------------------------------------------------------------------------- - +from .view_chat import app_show_chat, get_user_list, export if __name__ == '__main__': pass diff --git a/pywxdump/ui/view_chat/templates/chat.html b/pywxdump/ui/templates/chat.html similarity index 100% rename from pywxdump/ui/view_chat/templates/chat.html rename to pywxdump/ui/templates/chat.html diff --git a/pywxdump/ui/view_chat/templates/index.html b/pywxdump/ui/templates/index.html similarity index 100% rename from pywxdump/ui/view_chat/templates/index.html rename to pywxdump/ui/templates/index.html diff --git a/pywxdump/ui/view_chat/main_window.py b/pywxdump/ui/view_chat.py similarity index 99% rename from pywxdump/ui/view_chat/main_window.py rename to pywxdump/ui/view_chat.py index aee6496..7ca5f3f 100644 --- a/pywxdump/ui/view_chat/main_window.py +++ b/pywxdump/ui/view_chat.py @@ -11,7 +11,7 @@ import os import json import time import hashlib -from pywxdump.analyse import read_img_dat, decompress_CompressContent, read_audio, parse_xml_string +from pywxdump.analyzer import read_img_dat, decompress_CompressContent, read_audio, parse_xml_string from flask import Flask, request, render_template, g, Blueprint diff --git a/pywxdump/ui/view_chat/__init__.py b/pywxdump/ui/view_chat/__init__.py deleted file mode 100644 index 2a14789..0000000 --- a/pywxdump/ui/view_chat/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -# -*- coding: utf-8 -*-# -# ------------------------------------------------------------------------------- -# Name: __init__.py.py -# Description: -# Author: xaoyaoo -# Date: 2023/11/10 -# ------------------------------------------------------------------------------- -from .main_window import app_show_chat, get_user_list, export diff --git a/setup.py b/setup.py index d168b55..5f7808b 100644 --- a/setup.py +++ b/setup.py @@ -29,18 +29,15 @@ setup( url="https://github.com/xaoyaoo/PyWxDump", license='MIT', - packages=['pywxdump', 'pywxdump.bias_addr', 'pywxdump.wx_info', 'pywxdump.decrypted', 'pywxdump.analyse', - 'pywxdump.show_chat'], + packages=['pywxdump', 'pywxdump.ui', 'pywxdump.wx_info', 'pywxdump.analyzer'], package_dir={'pywxdump': 'pywxdump', - 'pywxdump.bias_addr': 'pywxdump/bias_addr', 'pywxdump.wx_info': 'pywxdump/wx_info', - 'pywxdump.decrypted': 'pywxdump/decrypted', - 'pywxdump.analyse': 'pywxdump/analyse', - 'pywxdump.show_chat': 'pywxdump/show_chat' + 'pywxdump.analyzer': 'pywxdump/analyzer', + 'pywxdump.ui': 'pywxdump/ui', }, package_data={ - 'pywxdump': ['version_list.json', 'show_chat/templates/*'] + 'pywxdump': ['version_list.json', 'ui/templates/*'] }, classifiers=[ "Programming Language :: Python :: 3", diff --git a/tests/build_exe.py b/tests/build_exe.py index cd5a43d..20a3cde 100644 --- a/tests/build_exe.py +++ b/tests/build_exe.py @@ -25,7 +25,7 @@ def base64_to_image(base64_string, image_path): ico_base64 = 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' code = """ -from pywxdump.command import console_run +from pywxdump.cli import console_run console_run() """ spec_content = ''' @@ -37,8 +37,8 @@ a = Analysis(['tmp.py'], pathex=[], binaries=[], datas=[(r'{root_path}\\version_list.json', 'pywxdump'), - (r'{root_path}/show_chat/templates/chat.html', 'pywxdump/show_chat/templates'), - (r'{root_path}/show_chat/templates/index.html', 'pywxdump/show_chat/templates')], + (r'{root_path}/ui/templates/chat.html', 'pywxdump/ui/templates'), + (r'{root_path}/ui/templates/index.html', 'pywxdump/ui/templates')], hiddenimports={hidden_imports}, hookspath=[], runtime_hooks=[], From d01aa5763355b0571695672f44319347f758b8c6 Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 13:21:16 +0800 Subject: [PATCH 12/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.3.0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pywxdump/ui/view_chat.py | 2 +- pywxdump/wx_info/get_bias_addr.py | 6 +++--- pywxdump/wx_info/get_wx_info.py | 18 ++++++++++++++++-- setup.py | 2 +- 4 files changed, 21 insertions(+), 7 deletions(-) diff --git a/pywxdump/ui/view_chat.py b/pywxdump/ui/view_chat.py index 7ca5f3f..b2cf9b6 100644 --- a/pywxdump/ui/view_chat.py +++ b/pywxdump/ui/view_chat.py @@ -71,7 +71,7 @@ def load_base64_img_data(start_time, end_time, username_md5, FileStorage_path): # 获取CreateTime的最大值日期 min_time = time.strftime("%Y-%m", time.localtime(start_time)) max_time = time.strftime("%Y-%m", time.localtime(end_time)) - img_path = os.path.join(FileStorage_path, "MsgAttach", username_md5, "Image") + img_path = os.path.join(FileStorage_path, "MsgAttach", username_md5, "Image") if FileStorage_path else "" if not os.path.exists(img_path): return {} # print(min_time, max_time, img_path) diff --git a/pywxdump/wx_info/get_bias_addr.py b/pywxdump/wx_info/get_bias_addr.py index e793b10..ff71798 100644 --- a/pywxdump/wx_info/get_bias_addr.py +++ b/pywxdump/wx_info/get_bias_addr.py @@ -99,7 +99,7 @@ class BiasAddr: self.mobile = mobile.encode("utf-8") self.name = name.encode("utf-8") self.key = bytes.fromhex(key) if key else b"" - self.db_path = db_path if os.path.exists(db_path) else "" + self.db_path = db_path if db_path and os.path.exists(db_path) else "" self.process_name = "WeChat.exe" self.module_name = "WeChatWin.dll" @@ -280,8 +280,8 @@ class BiasAddr: key_bias = self.get_key_bias2(self.db_path, account_bias) if key_bias <= 0 and self.db_path else key_bias rdata = {self.version: [name_bias, account_bias, mobile_bias, 0, key_bias]} - print(rdata) - self.test() + # print(rdata) + # self.test() if version_list_path and os.path.exists(version_list_path): with open(version_list_path, "r", encoding="utf-8") as f: data = json.load(f) diff --git a/pywxdump/wx_info/get_wx_info.py b/pywxdump/wx_info/get_wx_info.py index 3edd36f..f4af5e7 100644 --- a/pywxdump/wx_info/get_wx_info.py +++ b/pywxdump/wx_info/get_wx_info.py @@ -8,6 +8,7 @@ import json import ctypes import os +import re import winreg import pymem from win32com.client import Dispatch @@ -75,6 +76,7 @@ def get_info_filePath(wxid="all"): value, _ = winreg.QueryValueEx(key, "FileSavePath") winreg.CloseKey(key) w_dir = value + print(0, w_dir) except Exception as e: # 获取文档实际目录 try: @@ -87,13 +89,19 @@ def get_info_filePath(wxid="all"): if "%" in documents_paths[0]: w_dir = os.environ.get(documents_paths[0].replace("%", "")) w_dir = os.path.join(w_dir, os.path.join(*documents_paths[1:])) + print(1, w_dir) else: w_dir = documents_path + print(2, w_dir) except Exception as e: - profile = os.path.expanduser("~") + profile = os.environ.get("USERPROFILE") # 获取用户目录 w_dir = os.path.join(profile, "Documents") + print(3, w_dir) + if w_dir == "MyDocument:": + profile = os.environ.get("USERPROFILE") + w_dir = os.path.join(profile, "Documents") msg_dir = os.path.join(w_dir, "WeChat Files") - + print(msg_dir) if wxid == "all" and os.path.exists(msg_dir): return msg_dir @@ -241,3 +249,9 @@ def get_wechat_db(require_list: Union[List[str], str] = "all", msg_dir: str = No print(f"[+] 共 {len(user_dirs)} 个微信账号") return user_dirs + + +if __name__ == '__main__': + with open("version_list.json", "r", encoding="utf-8") as f: + version_list = json.load(f) + read_info(version_list, is_logging=True) diff --git a/setup.py b/setup.py index 5f7808b..6cffd93 100644 --- a/setup.py +++ b/setup.py @@ -47,7 +47,7 @@ setup( install_requires=install_requires, entry_points={ 'console_scripts': [ - 'wxdump = pywxdump.command:console_run', + 'wxdump = pywxdump.cli:console_run', ], }, setup_requires=['wheel'] From 1eb95d54e6f715fdf262b50cd4a7eafaf2cc60a2 Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 13:30:46 +0800 Subject: [PATCH 13/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.3.0=EF=BC=8C?= =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E5=90=88=E5=B9=B6=E6=95=B0=E6=8D=AE=E5=BA=93?= =?UTF-8?q?=E5=8A=9F=E8=83=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pywxdump/cli.py | 44 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) diff --git a/pywxdump/cli.py b/pywxdump/cli.py index 1bc762b..182bfb9 100644 --- a/pywxdump/cli.py +++ b/pywxdump/cli.py @@ -126,6 +126,45 @@ class MainDecrypt(): return result +class MainMerge(): + def init_parses(self, parser): + self.mode = "merge" + # 添加 'decrypt' 子命令解析器 + sb_merge = parser.add_parser(self.mode, help="合并微信数据库(MSG.db or MediaMSG.db)") + sb_merge.add_argument("-t", "--dbtype", type=str, help="数据库类型(可选值)：[msg,media]", required=True, metavar="") + sb_merge.add_argument("-i", "--db_path", type=str, help="数据库路径(文件路径，使用英文[,]分割)", required=True, metavar="") + sb_merge.add_argument("-o", "--out_path", type=str, default=os.path.join(os.getcwd(), "decrypted"), + help="输出路径(必须是目录)[默认为当前路径下decrypted文件夹]", required=False, + metavar="") + return sb_merge + + def run(self, args): + # 从命令行参数获取值 + dbtype = args.dbtype + db_path = args.db_path + out_path = args.out_path + + db_path = db_path.split(",") + for i in db_path: + if not os.path.exists(i): + print(f"[-] 数据库路径不存在：{i}") + return + + if not os.path.exists(out_path): + os.makedirs(out_path) + print(f"[+] 创建输出文件夹：{out_path}") + + if dbtype == "msg": + result = merge_msg_db(db_path, out_path) + elif dbtype == "media": + result = merge_media_msg_db(db_path, out_path) + else: + print(f"[-] 未知数据库类型：{dbtype}") + return + + return result + + class MainShowChatRecords(): def init_parses(self, parser): self.mode = "dbshow" @@ -363,6 +402,11 @@ def console_run(): sb_decrypt = main_decrypt.init_parses(subparsers) modes[main_decrypt.mode] = main_decrypt + # 添加 'merge' 子命令解析器 + main_merge = MainMerge() + sb_merge = main_merge.init_parses(subparsers) + modes[main_merge.mode] = main_merge + # 添加 '' 子命令解析器 main_show_chat_records = MainShowChatRecords() sb_dbshow = main_show_chat_records.init_parses(subparsers) From 24b47375f88c83ab0d1eb62a5047fcba1f785b1c Mon Sep 17 00:00:00 2001 From: xaoyaoo Date: Wed, 6 Dec 2023 13:32:38 +0800 Subject: [PATCH 14/14] =?UTF-8?q?=E6=9B=B4=E6=96=B0v2.3.0=EF=BC=8C?= =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E5=90=88=E5=B9=B6=E6=95=B0=E6=8D=AE=E5=BA=93?= =?UTF-8?q?=E5=8A=9F=E8=83=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 3 ++- doc/CHANGELOG.md | 10 +++------- 2 files changed, 5 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 9ca9736..d9d2c63 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ * 4.生成年度可视化报告 * 5.创建GUI图形界面，方便使用 * 6.查看群聊中具体发言成员的ID [#31](https://github.com/xaoyaoo/PyWxDump/issues/31) -* 7.增加数据库合并功能，方便查看 +* 7.增加数据库合并功能，方便查看（已完成，待测试） * 8.增加企业微信的支持 * 9.增加获取实时聊天记录的功能 * 10.聊天记录关键字搜索 或者按时间点搜索列出所有的联系人记录就nice了 @@ -55,6 +55,7 @@ * （7）支持微信多开场景，获取多用户信息等 * （8）微信需要登录状态才能获取数据库密钥 * （9）支持导出聊天记录为html,备份微信聊天记录,方便查看 +* （10）合并多个数据库，方便查看 **利用场景** diff --git a/doc/CHANGELOG.md b/doc/CHANGELOG.md index 8791f3c..0cefc6b 100644 --- a/doc/CHANGELOG.md +++ b/doc/CHANGELOG.md @@ -1,16 +1,12 @@ # 更新日志 -## v2.3.0 (2023-12-30) +## v2.3.0 (2023-12-06) ### 新功能 -- 每个人聊天记录分析，生成词云。 -- 分析每个人每天的聊天数量，生成折线图（天-聊天数量） -- 分析不同的人的月聊天数量，年聊天数量，生成折线图 -- 生成年度可视化报告 -- 创建GUI图形界面，方便使用 -- 查看群聊中具体发言成员的ID - 增加数据库合并功能，方便查看 +- 重新整合代码，优化代码结构 +- 优化命令行参数 ### 优化