释放ipa文件

把ipa文件后缀改成rar，然后用stuffle expander 解压。如果资源目录下有加密的png图片，可以用脚本解密。

在编译成ipa文件的编译选项中 选中"Compress PNG Files"（

Image files with '.png' extension are compressed as they are copied. [COMPRESS_PNG_FILES].）

 

解密脚本代码：ipin.py

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