url

aHR0cHM6Ly9wYXNzcG9ydC41MS5jb20vP2dvdXJsPWh0dHBzOi8vd2FuLjUxLmNvbS92dWUvaW5kZXg=

接口分析

圈起来的两个接口，一个拿滑块，一个验证。

参数分析

没用特别难的加密

验证识别

需要注意的是，我们先拿到的图片是混乱的，需要按行来抠图。
如下:

识别可以采用cv2或者ddddocr

完整代码

# -*- coding: utf-8 -*-
# @Time    : 29/8/2023 上午 11:22
# @Author  : 明月清风我
# @File    : main.py
# @Software: PyCharm

import hashlib
import json
import cv2
import requests
import re
from PIL import Image
import io
import time
import loguru
import ddddocr

def copy_headers_dict(headers_raw):
    if headers_raw is None:
        return None

    headers = headers_raw.splitlines()
    headers_tuples = [header.split(":", 1) for header in headers]

    result_dict = {}
    for header_item in headers_tuples:
        if not len(header_item) == 2:
            continue
        item_key = header_item[0].strip()
        item_value = header_item[1].strip()
        result_dict[item_key] = item_value

    return result_dict
def identify_gap(bg, tp):
    # 读取背景图片和缺口图片
    bg_img = cv2.imread(bg)  # 背景图片
    tp_img = cv2.imread(tp)  # 缺口图片

    # 识别图片边缘
    bg_edge = cv2.Canny(bg_img, 100, 200)
    tp_edge = cv2.Canny(tp_img, 100, 200)

    # 转换图片格式
    bg_pic = cv2.cvtColor(bg_edge, cv2.COLOR_GRAY2RGB)
    tp_pic = cv2.cvtColor(tp_edge, cv2.COLOR_GRAY2RGB)

    # 缺口匹配
    res = cv2.matchTemplate(bg_pic, tp_pic, cv2.TM_CCOEFF_NORMED)
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)  # 寻找最优匹配

    # 绘制方框
    th, tw = tp_pic.shape[:2]
    tl = max_loc  # 左上角点的坐标
    # 返回缺口的X坐标
    return tl[0]
def identify_gap1(bg, tp):
    det = ddddocr.DdddOcr(det=False, ocr=False, show_ad=False)

    with open(tp, 'rb') as f:
        target_bytes = f.read()

    with open(bg, 'rb') as f:
        background_bytes = f.read()

    _x = str(det.slide_match(target_bytes, background_bytes, simple_target=True)['target'][0])
    return _x
requests = requests.session()
headers = copy_headers_dict("""
            Host: authcode.51.com
            Pragma: no-cache
            Referer: https://passport.51.com/?gourl=https://wan.51.com/vue/index
            sec-ch-ua: "Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"
            sec-ch-ua-mobile: ?0
            sec-ch-ua-platform: "Windows"
            Sec-Fetch-Dest: script
            Sec-Fetch-Mode: no-cors
            Sec-Fetch-Site: same-site
            User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36
        """)
def main():
    cnt = 0
    for _ in range(100):
        time.sleep(0.3)
        slidecode_url = "https://authcode.51.com/authcode/slidecode"
        params={
            'callback': 'jQuery1111011556910494181394_1693292335405',
            'from': 'passport',
            '_': str(int(time.time())*1000)
        }
        response = requests.get(slidecode_url, headers=headers, params=params)
        challenge=re.compile('<input.*?challenge.*?value=(.*?)>').findall(response.text)[0].replace('\\"','')
        times=re.compile('<input.*?times.*?value=(.*?)>').findall(response.text)[0].replace('\\"','')

        big_img_url = "https:" + re.compile('url\((.*?)\)').findall(response.text)[0].replace("\/","/")[2:-2]
        small_img_url = "https:" + re.compile('url\((.*?)\)').findall(response.text)[1].replace("\/","/")
        positions= re.compile("class='gt_cut_fullbg_slice' style='background-position:(.*?)px (.*?)px;'>").findall(response.text)
        pos_lists=[]
        for ps in positions:
            x=int(ps[0])
            y=int(ps[1])
            pos_lists.append({"x":x,"y":y})
        bg_img = requests.get(big_img_url).content
        small_img= requests.get(small_img_url).content
        bg_img=io.BytesIO(bg_img)
        im = Image.open(bg_img)
        with open('target.png','wb')as f:
            f.write(small_img)

        #取整用int  去绝对值也就是去除负号abs
        new_pos=[]
        for pos in pos_lists:
            if pos['y'] == -75:
                new_pos.append(im.crop((abs(pos['x']), 75, abs(pos['x']) + 13, 100)))
            if pos['y'] == -50:
                new_pos.append(im.crop((abs(pos['x']), 50, abs(pos['x']) + 13, 75)))
            if pos['y'] == -25:
                new_pos.append(im.crop((abs(pos['x']), 25, abs(pos['x']) + 13, 50)))
            if pos['y'] == 0:
                new_pos.append(im.crop((abs(pos['x']), 0, abs(pos['x']) + 13, 25)))

        new_im = Image.new('RGB', (260, 100))

        x_offset = 0
        y_offset=0

        for im in new_pos:
            if (x_offset==260):
                x_offset=0
                y_offset+=25

            new_im.paste(im, (x_offset, y_offset))
            x_offset += 13
        new_im.save('./{}.png'.format('background'))
        # _x = str(identify_gap1('target.png', 'background.png'))
        _x = str(identify_gap('target.png', 'background.png'))
        my_time=int(time.time()*1000)
        submit_url='https://authcode.51.com/authcode/yz2'

        loguru.logger.info(_x)
        params={
            'callback': 'jQuery1111011556910494181394_'+str(my_time),
            'point': _x,
            'times': times,
            'challenge': challenge,
            'token': hashlib.md5((challenge+times+_x).encode('utf8')).hexdigest(),
            'from': 'passport',
            'divpre':'',
            '_': str(my_time +6)
        }
        resp=requests.get(submit_url,params=params,headers=headers)
        loguru.logger.info(json.loads(resp.text[len("jQuery1111011556910494181394_1693292857236("):-2]))
        loguru.logger.info(json.loads(resp.text[len("jQuery1111011556910494181394_1693292857236("):-2])['errno'])
        if json.loads(resp.text[len("jQuery1111011556910494181394_1693292857236("):-2])['errno'] == 0:
            cnt += 1
    loguru.logger.info(str(cnt/100*100) + "%" )
if __name__ == '__main__':
    main()
# 2023-08-29 15:12:54.831 | INFO     | __main__:<module>:147 - {'errno': 401, 'error': '抱歉错误', 'data': []}
# 2023-08-29 15:12:54.832 | INFO     | __main__:<module>:148 - 401
# 2023-08-29 15:12:54.832 | INFO     | __main__:<module>:151 - 17
# 2023-08-29 15:12:54.832 | INFO     | __main__:<module>:152 - 17.0%

成功率偏低，校验比较严格，_x相差1可能都过不了了。