提取iOS App中的png图片资源(转)

挺邪恶的,直接看人家的图片资源,无奈个人艺术设计实力实在不强,只好借鉴下比较好的app了。

在编译打包到app的过程中,原有的png都被在最后加上了特定都数据段,这样从app里直接取出来图片既不能看,也不能用,所以需要工具来进行还原。

所幸,伟大的开源界已经提供了这样的pyhton脚本:

http://www.axelbrz.com.ar/?mod=iphone-png-images-normalizer

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
#---
# iPIN - iPhone PNG Images Normalizer v1.0
# Copyright (C) 2007
#
# Author:
#  Axel E. Brzostowski
#  http://www.axelbrz.com.ar/
#  [email protected]
# 
# References:
#  http://iphone.fiveforty.net/wiki/index.php/PNG_Images
#  http://www.libpng.org/pub/png/spec/1.2/PNG-Contents.html
# 
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License.
# 
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
# 
#---
 
from struct import *
from zlib import *
import stat
import sys
import os
 
def getNormalizedPNG(filename):
    pngheader = "\x89PNG\r\n\x1a\n"
 
    file = open(filename, "rb")
    oldPNG = file.read()
    file.close()
 
    if oldPNG[:8] != pngheader:
        return None
 
    newPNG = oldPNG[:8]
 
    chunkPos = len(newPNG)
 
    # For each chunk in the PNG file
    while chunkPos < len(oldPNG):
 
        # Reading chunk
        chunkLength = oldPNG[chunkPos:chunkPos+4]
        chunkLength = unpack(">L", chunkLength)[0]
        chunkType = oldPNG[chunkPos+4 : chunkPos+8]
        chunkData = oldPNG[chunkPos+8:chunkPos+8+chunkLength]
        chunkCRC = oldPNG[chunkPos+chunkLength+8:chunkPos+chunkLength+12]
        chunkCRC = unpack(">L", chunkCRC)[0]
        chunkPos += chunkLength + 12
 
        # Parsing the header chunk
        if chunkType == "IHDR":
            width = unpack(">L", chunkData[0:4])[0]
            height = unpack(">L", chunkData[4:8])[0]
 
        # Parsing the image chunk
        if chunkType == "IDAT":
            try:
                # Uncompressing the image chunk
                bufSize = width * height * 4 + height
                chunkData = decompress( chunkData, -8, bufSize)
 
            except Exception, e:
                # The PNG image is normalized
                return None
 
            # Swapping red & blue bytes for each pixel
            newdata = ""
            for y in xrange(height):
                i = len(newdata)
                newdata += chunkData[i]
                for x in xrange(width):
                    i = len(newdata)
                    newdata += chunkData[i+2]
                    newdata += chunkData[i+1]
                    newdata += chunkData[i+0]
                    newdata += chunkData[i+3]
 
            # Compressing the image chunk
            chunkData = newdata
            chunkData = compress( chunkData )
            chunkLength = len( chunkData )
            chunkCRC = crc32(chunkType)
            chunkCRC = crc32(chunkData, chunkCRC)
            chunkCRC = (chunkCRC + 0x100000000) % 0x100000000
 
        # Removing CgBI chunk 
        if chunkType != "CgBI":
            newPNG += pack(">L", chunkLength)
            newPNG += chunkType
            if chunkLength > 0:
                newPNG += chunkData
            newPNG += pack(">L", chunkCRC)
 
        # Stopping the PNG file parsing
        if chunkType == "IEND":
            break
 
    return newPNG
 
def updatePNG(filename):
    data = getNormalizedPNG(filename)
    if data != None:
        file = open(filename, "wb")
        file.write(data)
        file.close()
        return True
    return data
 
def getFiles(base):
    global _dirs
    global _pngs
    if base == ".":
        _dirs = []
        _pngs = []
 
    if base in _dirs:
        return
 
    files = os.listdir(base)
    for  file in files:
        filepath = os.path.join(base, file)
        try:
            st = os.lstat(filepath)
        except os.error:
            continue
 
        if stat.S_ISDIR(st.st_mode):
            if not filepath in _dirs:
                getFiles(filepath)
                _dirs.append( filepath )
 
        elif file[-4:].lower() == ".png":
            if not filepath in _pngs:
                _pngs.append( filepath )
 
    if base == ".":
        return _dirs, _pngs
 
print "-----------------------------------"
print " iPhone PNG Images Normalizer v1.0"
print "-----------------------------------"
print " "
print "[+] Searching PNG files...",
dirs, pngs = getFiles(".")
print "ok"
 
if len(pngs) == 0:
    print " "
    print "[!] Alert: There are no PNG files found. Move this python file to the folder that contains the PNG files to normalize."
    exit()
 
print " "
print " -  %d PNG files were found at this folder (and subfolders)." % len(pngs)
print " "
while True:
    normalize = raw_input("[?] Do you want to normalize all images (Y/N)? ").lower()
    if len(normalize) > 0 and (normalize[0] == "y" or normalize[0] == "n"):
        break
 
normalized = 0
if normalize[0] == "y":
    for  ipng in xrange(len(pngs)):
        perc = (float(ipng) / len(pngs)) * 100.0
        print "%.2f%% %s" % (perc, pngs[ipng])
        if updatePNG(pngs[ipng]):
            normalized += 1
print " "
print "[+] %d PNG files were normalized." % normalized

以QQ阅读1.5.1的ipa为例,先进入解压后的app目录, 同样实在终端进行操作,将python脚本命名为pickUpPng.py
$mv pickUpPng.py /usr/bin
将基本放入到/usr/bin目录,方便日后使用和操作
在app目录下
$mkdir realPng
$mv *.png realPng
$cd realPng
$python pickUpPng.py
这样就可以将所有png图片还原回去,并且如果需要直接查看的话可以使用open command。

转载于:https://www.cnblogs.com/yaoliang11/archive/2012/10/16/2725677.html

你可能感兴趣的:(提取iOS App中的png图片资源(转))