0
0

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?

More than 1 year has passed since last update.

h4ckc0n CTF

Last updated at Posted at 2023-08-26

0. はじめに

h4ckc0n CTFにソロでゆるっと参加して70/286位でした

1. thepassw902jtxjuo90tj(26 solved)

from Crypto.Util.number import getPrime, bytes_to_long
from Crypto.Util.Padding import pad, unpad

# how about 2 part flags
flag1 = b"FLAG PART 1 HEHEHE"
flag2 = b"FLAG PART 2 not hehe :("

flagnum = bytes_to_long(flag1)
flagnum2 = bytes_to_long(pad(flag2, 256))

assert len(bin(flagnum)[2:]) == 303

p = getPrime(2048)
q = getPrime(2048)
N = p * q
e = 65537

# p isn't needed anymore; must be corrupted
p = p^flagnum
print("masked_p={}".format(hex(p)))
print("N={}\ne={}".format(hex(N), hex(e)))

ct = pow(flagnum2, e, N)
print("ct={}".format(hex(ct)))

pの下位303bitがマスクされている。pは2048bitなのでcoppersmith attackが適応できる

from sage.all import *

N = Integer(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 )
masked_p =Integer(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 )

# Parameters
beta = 0.4
epsilon = beta^2/7

# The number of bits we are trying to recover
kbits = 303

# p's actual number of bits
pbits = masked_p.nbits() + kbits

# Polynomial
PR.<x> = PolynomialRing(Zmod(N))
f = x + masked_p

# Use Coppersmith to find the roots
x0 = f.small_roots(X=2^kbits, beta=beta)[0]

# Recover the actual p
recovered_p = x0 + masked_p

print(f"Recovered p: {recovered_p}")
from Crypto.Util.number import long_to_bytes

p = 19535950528273173801307205065648197564656577746427362111408212925358866027088703661563448359317128204554242408864028829931524358913776666778058594300674954640063834193692016163823175265801478791076451827175050543373784406340739445539664909757065622955558914381802289641859082341256264724387476231698822681833805942025080196305529640258512998138907995265169057305182676545564777870850023901248774372842539748299080308873891914029166222403511434627002311407340107241222099255577238133982069869299282687923205427201146620320451449522010581068888174444898490022087276552987982107899113990810595965291458473027587217509119
masked_p = 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
N = 0x8C69CB58BD9B5F6CFBE5973AADAD07E20F117333CDE4650BAFAA76FDB888436D60C61BC883E9BEAD6EDEE6D8323FA344A0DEC482100C826ADA5E3C970E6F017FAA25E06680D36CEB2FC53B0D4065A5EF411D595A8AE749E01DC9EEA1A79A6DA2EC4C9428D3EF1577CC2C8AB48FE2D2A19313DC92C6FF2AAA36F0122F047C8FD2793FA10F09955A8473B397983774ACC1F64B105ADC5ADAD6A1EDFBA78FD80D0B04476AB24B60710C3C20E9C3914456D1425B34449CD81BF01D43BB3D9BF3A100DD599443EB94AA5F7D884889585D7F0008C1BBE1403FD9F17A3C5901327FB5C66C04AF09D134327DFC3222359E3249BB8309C93F74DC93D981F72E99BDE0124800807878F04C5AAEBFF4A3236D29ABBC98B16B0C0657D1E905888CBCCC8C0306D7C576F5386068EEDCB51753AE20CD314199AB144BCF994D3F015A05E4735DD2D2301ED904A13CE763413B3F007FF3C25BA30E6E809522574C8C37D3C8B1FE7C5DE75C8162F42051A062384F237CEA5CAB45F40FC38E28EBD949DE6352F6E289ED855C0AEC761A886CB0A6916067D77947D42E4BB6D0B399CA0502776BA0C847831FD07E721A2A01466F4B42BD2ED82BDC3E39637862902B8C3D8CC302D20180BB503A01EAC75F433D3D601792C1F4A6E1C62E6D83B3D37CB0D200EE3E6B9463B90B43064D902D93F8578E3AAAA76A356D08D25965ADA3F2AF3C0A55E20580AF
e = 0x10001
ct = 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
print(N % p)
q = N // p
phi = (p - 1) * (q - 1)
d = pow(e, -1, phi)
print(long_to_bytes(p ^ masked_p))
print(long_to_bytes(pow(ct, d, N)))

b'd4rkc0de{uhh_1s_thi5_inn0vative_et_al?'
b'ig_n0t_hehe}

参考

2. Faster FastAPI(110 solved)

image.png

こんな感じのサイト。お金をためてAdmin Lounge Couponを買ってあげたい

image.png

試行錯誤の末、Admin Lounge Couponの購入の際Burp suiteでquantityの数を0にしてやった

image.png

You bought a lounge coupon! Code: d4rk{cyth0n_1s_f4st_but_r1sky}c0d3

3. always painted, never gifted

$ apngdis lessgo.apng

変な写真が見えたのでまずはapngをpngに変換

image.png

co48r455qh4dkz3zqjhun5tsmh5uyz5pgtiugz3wm7tsopdcptxzkpjtpa5f6pdopa5f6cdqpthi6auig7xsopdrmh5uyz5pgtiugz3tg7xun5tzgbxsec5dgb1dg3u1mhaghc57ccage3e

ここでも無理だ。うーーんcyberchefも色々試したんだけどなぁ
z-base-32らしい

知るかボケ
d4rk{w45_7ry1n6_70_m4k3_4_ch4ll_u51n6_4pn6_0nly_bu7_h4d_70_m4k3_17_1n70_d3c0d3fr_0n3}c0de

どっかの外人さんにこれ使うといいよって言われた。ほんとだ、、天才、、

0
0
0

Register as a new user and use Qiita more conveniently

  1. You get articles that match your needs
  2. You can efficiently read back useful information
  3. You can use dark theme
What you can do with signing up
0
0

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?