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。

本文网站：aHR0cDovL2dnenkudG9uZ2xpYW8uZ292LmNuL0Vwb2ludFdlYkJ1aWxkZXJfdGxzZ2d6eS9qeXh4SW5mb0FjdGlvbi5hY3Rpb24/Y21kPWdldFZlcmlmaWNhdGlvbkNvZGU=

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()

JS逆向实战1——某省阳光采购服务平台的相关教程结束。