How to Implement Python to read image attribute information,

How to Implement Python to read image attribute information,

This article uses a Python script to read image information. The following describes how to read image information:

1. error handling is not implemented

2. I have not read all the information, and only GPS information, image resolution, image pixels, equipment vendors, and shooting devices are available.

3. After simple modification, attackers should be able to modify the GPS information of images.

4. However, for images without GPS information, the implementation is very complicated and the offset of each descriptor needs to be carefully calculated.

After the script is run, the read result is as follows:

Information read by the script

This is exactly the same as what Windows property viewer reads.

Image Information 1

Image Information 2

The source code is as follows:

# -*- coding:utf-8 -*-import binasciiclass ParseMethod(object):  @staticmethod  def parse_default(f, count, offset):    pass  @staticmethod  def parse_latitude(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    latitude = [0,0,0]    for i in xrange(count):      byte = f.read(4)      numerator = byte.encode('hex')      byte = f.read(4)      denominator = byte.encode('hex')      latitude[i] = float(int(numerator, 16)) / int(denominator, 16)    print 'Latitude:\t%.2f %.2f\' %.2f\"' % (latitude[0], latitude[1], latitude[2])    f.seek(old_pos)    @staticmethod  def parse_longtitude(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    longtitude = [0,0,0]    for i in xrange(count):      byte = f.read(4)      numerator = byte.encode('hex')      byte = f.read(4)      denominator = byte.encode('hex')      longtitude[i] = float(int(numerator, 16)) / int(denominator, 16)    print 'Longtitude:\t%.2f %.2f\' %.2f\"' % (longtitude[0], longtitude[1], longtitude[2])    f.seek(old_pos)   @staticmethod  def parse_make(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(count)    a = byte.encode('hex')    print 'Make:\t\t' + binascii.a2b_hex(a)    f.seek(old_pos)   @staticmethod  def parse_model(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(count)    a = byte.encode('hex')    print 'Model:\t\t' + binascii.a2b_hex(a)    f.seek(old_pos)       @staticmethod  def parse_datetime(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(count)    a = byte.encode('hex')    print 'DateTime:\t' + binascii.a2b_hex(a)    f.seek(old_pos)  # rational data type, 05  @staticmethod  def parse_xresolution(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(4)    numerator = byte.encode('hex')    byte = f.read(4)    denominator = byte.encode('hex')    xre = int(numerator, 16) / int(denominator, 16)    print 'XResolution:\t' + str(xre) + ' dpi'    f.seek(old_pos)  @staticmethod  def parse_yresolution(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(4)    numerator = byte.encode('hex')    byte = f.read(4)    denominator = byte.encode('hex')    xre = int(numerator, 16) / int(denominator, 16)    print 'YResolution:\t' + str(xre) + ' dpi'    f.seek(old_pos)  @staticmethod  def parse_exif_ifd(f, count, offset):    old_pos = f.tell()    f.seek(12 + offset)    byte = f.read(2)    a = byte.encode('hex')        exif_ifd_number = int(a, 16)    for i in xrange(exif_ifd_number):      byte = f.read(2)      tag_id = byte.encode('hex')      #print tag_id,      byte = f.read(2)      type_n = byte.encode('hex')      #print type_n,      byte = f.read(4)      count = byte.encode('hex')      #print count,      byte = f.read(4)      value_offset = byte.encode('hex')      #print value_offset      value_offset = int(value_offset, 16)      EXIF_IFD_DICT.get(tag_id, ParseMethod.parse_default)(f, count, value_offset)    f.seek(old_pos)    @staticmethod  def parse_x_pixel(f, count, value):    print 'X Pixels:\t' + str(value)  @staticmethod  def parse_y_pixel(f, count, value):    print 'y Pixels:\t' + str(value)  @staticmethod  def parse_gps_ifd(f, count, offset):    old_pos = f.tell()        f.seek(12 + offset)    byte = f.read(2)    a = byte.encode('hex')      gps_ifd_number = int(a, 16)    for i in xrange(gps_ifd_number):      byte = f.read(2)      tag_id = byte.encode('hex')      #print tag_id,      byte = f.read(2)      type_n = byte.encode('hex')      #print type_n,      byte = f.read(4)      count = byte.encode('hex')      #print count,      byte = f.read(4)      value_offset = byte.encode('hex')      #print value_offset      count = int(count, 16)      value_offset = int(value_offset, 16)      GPS_IFD_DICT.get(tag_id, ParseMethod.parse_default)(f, count, value_offset)    f.seek(old_pos) IFD_dict = {  '010f' : ParseMethod.parse_make ,  '0110' : ParseMethod.parse_model ,  '0132' : ParseMethod.parse_datetime ,  '011a' : ParseMethod.parse_xresolution ,  '011b' : ParseMethod.parse_yresolution ,  '8769' : ParseMethod.parse_exif_ifd ,  '8825' : ParseMethod.parse_gps_ifd}EXIF_IFD_DICT = {  'a002' : ParseMethod.parse_x_pixel ,  'a003' : ParseMethod.parse_y_pixel}GPS_IFD_DICT = {  '0002' : ParseMethod.parse_latitude ,  '0004' : ParseMethod.parse_longtitude}with open('image.jpg', 'rb') as f:  byte = f.read(2)  a = byte.encode('hex')  print 'SOI Marker:\t' + a  byte = f.read(2)  a = byte.encode('hex')  print 'APP1 Marker:\t' + a  byte = f.read(2)  a = byte.encode('hex')  print 'APP1 Length:\t' + str(int(a, 16)) + ' .Dec'  byte = f.read(4)  a = byte.encode('hex')  print 'Identifier:\t' + binascii.a2b_hex(a)  byte = f.read(2)  a = byte.encode('hex')  print 'Pad:\t\t' + a   print   print 'Begin to print Header.... '  print 'APP1 Body: '  byte = f.read(2)  a = byte.encode('hex')  print 'Byte Order:\t' + a    byte = f.read(2)  a = byte.encode('hex')  print '42:\t\t' + a   byte = f.read(4)  a = byte.encode('hex')  print '0th IFD Offset:\t' + a   print 'Finish print Header'  print 'Begin to print 0th IFD....'  print  #print 'Total: ',  byte = f.read(2)  a = byte.encode('hex')  interoperability_number = int(a, 16)  #print interoperability_number  for i in xrange(interoperability_number):    byte = f.read(2)    tag_id = byte.encode('hex')    #print tag_id,    byte = f.read(2)    type_n = byte.encode('hex')    #print type_n,    byte = f.read(4)    count = byte.encode('hex')    #print count,    byte = f.read(4)    value_offset = byte.encode('hex')    #print value_offset    count = int(count, 16)    value_offset = int(value_offset, 16)    # simulate switch    IFD_dict.get(tag_id, ParseMethod.parse_default)(f, count, value_offset)  print  print 'Finish print 0th IFD....'

Summary

The implementation of reading image attribute information using Python has basically ended. Have you learned this? I hope this article will help you in your study or work,