import collections
import struct
import sys
def ReadFile(filename, encoding):
mode = 'rb' if encoding == 0 else 'rU'
with open(filename, mode) as f:
data = f.read()
if encoding not in (0, 1):
data = data.decode(encoding)
return data
PACK_FILE_VERSION = 4
HEADER_LENGTH = 2 * 4 + 1 # Two uint32s. (file version, number of entries) and
# one uint8 (encoding of text resources)
def UnpackDataPack(input_file):
"""Reads a data pack file and returns a dictionary."""
data = ReadFile(input_file, 0)
original_data = data
# Read the header.
version, num_entries, encoding = struct.unpack("<IIB", data[:HEADER_LENGTH])
if version != PACK_FILE_VERSION:
print "Wrong file version in ", input_file
raise WrongFileVersion
resources = {}
if num_entries == 0:
return DataPackContents(resources, encoding)
# Read the index and data.
data = data[HEADER_LENGTH:]
kIndexEntrySize = 2 + 4 # Each entry is a uint16 and a uint32.
for _ in range(num_entries):
id, offset = struct.unpack("<HI", data[:kIndexEntrySize])
data = data[kIndexEntrySize:]
next_id, next_offset = struct.unpack("<HI", data[:kIndexEntrySize])
resources[id] = original_data[offset:next_offset]
of = open('{0}.png'.format(id),'wb')
of.write(original_data[offset:next_offset])
of.close()
def main():
if len(sys.argv) > 1:
UnpackDataPack(sys.argv[1])
if __name__ == '__main__':
main()
chromium资源文件在linux下以pak格式文件打包,文件格式很简单,并没有压缩。一般没有解包的必要,因为编译时会自动根据源文件变化而自动生成。资源内容只在运行时由chromium根据资源ID获取,所以在.pak文件中只存储了资源的ID,并没有存储资源文件类型,所以只能默认解包成png格式了。
#python unpack.py chrome_100_percent.pak
就可以解包chrome_100_percent.pak中的png图片资源了。
如果非要获取资源文件类型的话,只能从内容判断了,根据不同文件的文件头可以大致分辨类型:
import collections
import struct
import sys
def ReadFile(filename, encoding):
mode = 'rb' if encoding == 0 else 'rU'
with open(filename, mode) as f:
data = f.read()
if encoding not in (0, 1):
data = data.decode(encoding)
return data
PACK_FILE_VERSION = 4
HEADER_LENGTH = 2 * 4 + 1 # Two uint32s. (file version, number of entries) and
# one uint8 (encoding of text resources)
def UnpackDataPack(input_file):
"""Reads a data pack file and returns a dictionary."""
data = ReadFile(input_file, 0)
original_data = data
# Read the header.
version, num_entries, encoding = struct.unpack("<IIB", data[:HEADER_LENGTH])
if version != PACK_FILE_VERSION:
print "Wrong file version in ", input_file
raise WrongFileVersion
resources = {}
if num_entries == 0:
return DataPackContents(resources, encoding)
# Read the index and data.
data = data[HEADER_LENGTH:]
kIndexEntrySize = 2 + 4 # Each entry is a uint16 and a uint32.
for _ in range(num_entries):
id, offset = struct.unpack("<HI", data[:kIndexEntrySize])
data = data[kIndexEntrySize:]
next_id, next_offset = struct.unpack("<HI", data[:kIndexEntrySize])
resources[id] = original_data[offset:next_offset]
filetype = 'bin'
fileheader = ''.join(original_data[offset:offset+1])
print ord(fileheader[0])
if fileheader == '<':
filetype = 'html'
if fileheader == '\x89':
filetype = 'png'
elif fileheader == '/':
filetype = 'js'
of = open('{0}.{1}'.format(id,filetype),'wb')
of.write(original_data[offset:next_offset])
of.close()
def main():
if len(sys.argv) > 1:
UnpackDataPack(sys.argv[1])
if __name__ == '__main__':
main()这里直接判断每个文件内容的前一个字节,如果是‘<'则应该是html文件,如果是'/'应该是js文件,如果是PNG文件头’\x89PNG',则应该就是png文件了。
本文介绍如何使用Python解包Chromium的资源.pak文件,虽然通常不需要解包,但通过提供的unpack.py脚本,可以将其中的png图片资源导出。由于.pak文件不包含资源类型信息,所以默认导出为png格式。若要确定资源类型,需依赖文件头来分辨。
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