西电 CTF 成都好室友 wp

发布于 2026-10-20 01:22:09

拿到一个PYC文件

先看版本

 xxd -l 16 chall15.pyc 
00000000: 6f0d 0d0a 0000 0000 62f5 496a 0b3d 0000  o.......b.Ij.=..

magic 为 6f 0d 0d 0a，对应 3439 → CPython 3.10
flags 为 0000 0000，表示 timestamp 模式（PEP 552），头结构正常，不需要补头
后 8 字节是 mtime 和源码大小（0x3d0b = 15627 字节）

安装pycdc

yay -S pycdc-git

进入目录

然后使用pycdc得到py文件

 pycdc chall15.pyc > chall15.py
Unsupported opcode: JUMP_IF_NOT_EXC_MATCH (210)

# Source Generated with Decompyle++
# File: chall15.pyc (Python 3.10)

import base64
import binascii
from pathlib import Path
IMAGE_BASE64 = '\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\n'.replace('\n', '').strip()

def decode_image(encoded_data = None, output_file = None):
    pass
# WARNING: Decompyle incomplete

if __name__ == '__main__':
    decode_image(IMAGE_BASE64)
    return None

再尝试动调

 python3.10 chall15.pyc
Successfully decode finished: result.png
Image data size: 11116 bytes.

发现输出了个图片

发现这个二维码被擦除了三个角