This article describes how to use Python to read Image attribute information, including GPS information, image resolution, image pixels, equipment vendors, and shooting devices. For more information, see. 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:
The source code is as follows:
# -*- coding:utf-8 -*-import binascii class 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,
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