分析

其实这个网站基本没有用到过什么逆向，就是简单的图片base64加密 然后把连接变成2进制存成文件 然后用ocr去识别即可

！！ 注意 在获取图片连接 和对列表页发起请求时一定要用一个请求，也就是用一个session 不然就会验证失败。

代码如下

import ddddocr
import requests
from jsonpath import jsonpath
import base64






url = "xxxxx"

data = {
"width": "150",
"height": "40",
"codeNum": "4",
"interferenceLine": '4',
"codeGuid": "",
}

html = requests.post(url,data=data).json()
image=jsonpath(html,"$..custom")[0]

json_image=eval(image)
code = json_image['imgCode']


verificationCodeGuid = json_image['verificationCodeGuid']



data = code.split(',')[1]
image_data = base64.b64decode(data)
with open('code.png', 'wb') as f:
    f.write(image_data)

with open('code.png','rb') as fp:
    image = fp.read()

# 利用ocr识别图片
ocr = ddddocr.DdddOcr()


result = ocr.classification(image)

print(result)


print(verificationCodeGuid)

# params={
#
# "cmd": "RightInfoList",
# "vname": "/linyiweb",
# "cate": "001001",
# "pageSize": "10",
# "pageIndex": "101",
# "ssqy": "",
# "xmbh": "",
# "ggmc": "",
# "cglb": "",
# "imgguid": "ae3e7c7d-1f8e-4a83-aec0-f2d2aecc411f",
# "yzm": "2W2H",
# }

# html = requests.get("xxxxx",params=params).json()

标签：code,image,JS,json,某省,服务平台,import,ocr,data
来源： https://www.cnblogs.com/zichliang/p/16634356.html