粉色的猫MISC(bugku)

一题目描述

ps:本题特别感谢树叶大佬给的一些提示以及WP！欢迎大家关注树木有点绿~~

二解题过程

下载附件得到zip压缩包

根据作者提示，压缩包注释应该为压缩包密码。

1.压缩包密码

一开始看到这个就想到应该是什么DNA相关解密，但未搜索到相关解码(搜索关键字真的很重要呜呜呜~)，后来在GitHub等搜索到两个解码脚本，本质就是一组碱基对会对应一个字母。

但杯具的是解出来的一直不对！好了，直接上真正的解密方法：在线解密网址 https://earthsciweb.org/js/bio/dna-writer/

password

1	`CATISSOCUTE`

2.分析文件

（1）文件1

使用file命令或者在winhex等十六进制文本编辑器中可以发现是 BPG格式

修改后缀得到一个1.bpg

下载BPGView查看

一脸茫然~~~

经过大佬指点是猫脸变换

简单了解后我们解密该图片是需要知道变换的一个系数a b，于是查看key.txt文件

（2）key.txt

0001000D91683106019196F4000872003800390035003000340045003400370030004400300041003100410030004100300030003000300030003000300044003400390034003800340034003500320030003000300030003000300034003700300030003000300030003000300038003000380030003200300030003000300030
0001000D91683106019196F4000872003000320034004400430037003500460031003000300030003000300030004200430034003900340034003400310035003400370038003500450044004400390032003400310031003200380035003300300030003800340033004200390031003900460037003300460031003500390046
0001000D91683106019196F400087000380034004600410038003700310032003100370036004500370034003500310032003600450033004400340041003600320044003700390035003500420033003800380032003100310037003900390042004200320045004100420039003500410036004200330042004200450037
0001000D91683106019196F400086E0042003600300039003900330045004500360033004600320036004600440044003100420043004400410042003300300033003300310046004500350045003600440039003300370035004200300036003500360036004100320031003000410033004100420037003100440038
0001000D91683106019196F400087000450033004400370032003100300031004400420034003900310036003900360038003000310033003200340046003800450046003200380034004500420033003500430030004600420036003400450046003100300030004100310042004100300043003200300044004400450042
0001000D91683106019196F400086E0038003400410032004200440038004200350038004200330039004500410043003600450030004100420031003000380044003600440036004600340034004300460044003800310044003000330042003600390034004200430039003400430032003300310033004400340046
0001000D91683106019196F400087000360038003900390031003600440036003200360041003700390035003800460035004300440039003500390042004500320038004300340034003300410045003700360043003100300035003800380030003200380035003900320039003600310042004600430044003400300044
0001000D91683106019196F4000872003100350037004600310033003400310033003800390043004600410042003600410045003500460032003300300038003700370035004500380031004500420032003000330030004300300035003000340037003500310044003900460041003400450045004600320032004600440030
0001000D91683106019196F400085200300037004400450044003500420036003800410033003100350046004400310031003000300030003000300030003000300034003900340035003400450034003400410045003400320036003000380032　

第一眼看到又是？？？，人麻了。后来也是无意中将这些16进制转为字符发现了隐藏的信息

熟悉的文件头，于是将这些16进制拼接起来为一个新的png文件

又是一脸？？？

这里说明一下，看了大佬的wp后发现这段16进制其实是 PDU编码！！一段一段放进去解密就行。

在线解密网站 PDU解密

（3）png图片

看到这模糊的像素画，自己也是折腾很久没想到怎么解，即使自己后来有看过一题类似的像素解法也没想起来！！npiet

我就直接给大家一个在线的网站去解了

npiet online

具体原理大家就自行百度哈

amazing！！

（4)show time!

网上找到的一个加解密代码。

import numpy as np
import cv2
 
 
def arnold_encode(image, a, b):
    # 1:创建新图像
    arnold_image = np.zeros(shape=image.shape)  # 返回给定形状和类型的新数组，用0填充。img.shape返回img的长宽信息
 
    # 2：计算N
    h, w = image.shape[0], image.shape[1]  # image.shape[0],image.shape[1],image.shape[2]表示图像长，宽，通道数
    N = w  # 或N=w
 
    # 3：遍历像素坐标变换
    for x in range(h):
        for y in range(w):
            # 按照公式坐标变换
            new_x = (1 * x + a * y) % N     # 解密：上下对换，a变b,x变y,+变-
            new_y = (b * x + (a * b + 1) * y) % N
            # new_x = ( x +  y) % N  #狭义
            # new_y = ( x + 2 * y) % N
            arnold_image[new_x, new_y, :] = image[x, y, :]
 
    arnold_image = np.uint8(arnold_image)
 
    return arnold_image
 
 
def dearnold_encode(image, a, b):
    # 1:创建新图像
    arnold_image = np.zeros(shape=image.shape)  # 返回给定形状和类型的新数组，用0填充。img.shape返回img的长宽信息
 
    # 2：计算N
    h, w = image.shape[0], image.shape[1]  # image.shape[0],image.shape[1],image.shape[2]表示图像长，宽，通道数
    N = w  # 或N=w
 
    # 3：遍历像素坐标变换
    for x in range(h):
        for y in range(w):
            # 按照公式坐标变换
            new_x = ((a * b + 1) * x - b * y) % N
            new_y = (-a * x + y) % N
            # new_x = (2* x -  y) % N  # 解密：上下对换，a变b,x变y,+变-
            # new_y = ((-1) * x +  y) % N
            arnold_image[new_x, new_y, :] = image[x, y, :]
 
    arnold_image = np.uint8(arnold_image)
 
    return arnold_image
 
 
r = cv2.imread(r'C:\Users\PC\Desktop\cat\out.png')#原始的1.bpg转换得到的文件路径
print(r)
 
 # 遍历次数
r = dearnold_encode(r, 13,14)
# r = dearnold_encode(r, 1, 1)
cv2.imshow("arnold", r)
cv2.waitKey(0)
cv2.destroyAllWindows()