130 lines
4.0 KiB
Python
130 lines
4.0 KiB
Python
import binascii
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import json
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import os
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import random
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import re
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import sys
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import time
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from PIL import Image
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from type.PNG import PNG
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# from type.JPG import JPG
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# from type.GIF import GIF
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types = [PNG] # 暂时先只处理PNG，其他的都没写好呢[PNG, JPG, GIF]
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def check_image_type(filename: str, data: bytearray):
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file_type1 = None
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for model in types:
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if re.match(f'.*\.{model.extension}$', filename.lower()):
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file_type1 = model
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break
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file_type2 = None
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weight = 0
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for model in types:
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weight2 = model.test(data)
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if weight2 > weight:
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file_type2 = model
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weight = weight2
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if file_type1 != None:
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if file_type1 == file_type2:
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print(f'看起来文件格式是{file_type1.extension}')
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else:
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print(f'文件名中格式是{file_type1.extension}，但是解析文件头格式发现{weight}%是{file_type2.extension}')
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else:
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if file_type2 != None:
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file_type1 = file_type2
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print(f'检测文件头认为文件格式{weight}%是{file_type2.extension}')
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else:
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print('未检测到任何图片格式特征，该文件可能不是图片文件')
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for i in range(len(types)):
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print(f' {i}、{types[i].extension}')
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index = input('要指定文件格式吗？或者直接回车。请输入文件格式序号：')
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if index.isdigit():
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index = int(index)
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file_type1 = types[index]
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return file_type1
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# 总函数
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def main(filename: str):
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# 读取图片数据
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data = None
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with open(filename, 'rb') as f:
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data = bytearray(f.read())
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# 确定文件格式
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model = check_image_type(filename, data)
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# 检测并修复
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changed = False
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if model != None:
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info = model.get_info(data)
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# print(json.dumps(info))
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changed1, data, tail = model.check_tail(data)
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changed2, data, head = model.repair_sig(data)
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changed3, data, width, height = model.repair_size(data)
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changed4, data, data_append = model.check_data(data)
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checked_channel = False # 是否检测过RGB通道，如果没检测过，则下面还会尝试检测一遍
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try:
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# 尝试分析通道信息
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changed5, data_r, data_g, data_b = model.check_channels(filename, width, height)
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checked_channel = True
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except Exception as e:
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pass
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#print('[x] 尝试打开图片失败，失败原因：' + str(e))
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changed = changed1 or changed2 or changed3
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else:
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print('[*] 未进行任何处理')
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if changed:
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# 创建结果目录
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basename = os.path.basename(filename)
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dirname = filename.replace('.', '_') + str(int(time.time()))
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dirpath = os.path.join(os.path.dirname(os.path.abspath(filename)), dirname)
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os.mkdir(dirpath)
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# 保存解析结果
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imagepath = os.path.join(dirpath, basename)
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f = open(imagepath, 'wb')
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f.write(data)
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f.close()
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if changed1 and tail:
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f = open(os.path.join(dirpath, 'tail'), 'wb')
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f.write(tail)
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f.close()
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if changed2 and head:
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f = open(os.path.join(dirpath, 'head'), 'wb')
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f.write(head)
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f.close()
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for i in range(len(data_append)):
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f = open(os.path.join(dirpath, 'data_append_' + str(i)), 'wb')
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f.write(data_append[i])
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f.close()
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print(f'[*] 分析结果已保存到 {dirpath}')
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if not checked_channel:
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# 尝试分析通道信息
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changed5, data_r, data_g, data_b = model.check_channels(imagepath, width, height)
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try:
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# 尝试打开图片看一看
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im = Image.open(imagepath)
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im.show()
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except Exception as e:
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print('[x] 尝试打开图片失败，失败原因：' + str(e))
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else:
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print('[*] 未进行任何处理')
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print('[*] 分析完成！')
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# 开始执行
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if len(sys.argv) > 1:
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filename = sys.argv[1]
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main(filename)
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