python实现腾讯滑块验证码识别

腾讯滑块验证码识别,识别凹槽的x轴位置，mock滑块的加速度。该项目公开api，提供识别和加速度模拟部分，第二部分模拟滑动进行识别返回数据请求

项目地址：

安装python环境

参考：

sudo yum install https://centos7.iuscommunity.org/ius-release.rpm
sudo yum install python36u
python3.6 -v
sudo yum install python36u-pip
sudo yum install python36u-devel

创建环境 creating a virtualenv

python3.6 -m venv venv
. venv/bin/activate
pip install [package_name]
# 安装依赖
pip install -r requirements.txt 

daemonize 运行

# 参考 https://www.digitalocean.com/community/tutorials/how-to-serve-flask-applications-with-uswgi-and-nginx-on-ubuntu-18-04
# install the latest stable release:
pip install uwsgi
# ... or if you want to install the latest lts (long term support) release,
pip install https://projects.unbit.it/downloads/uwsgi-lts.tar.gz

# 创建ln 
cp captcha.service /etc/systemd/system/captcha.service
systemctl enable captcha.service
systemctl start captcha.service

uwsgi --ini /usr/local/nginx/html/myblog/uwsgiconfig.ini

#后台运行
uwsgi --ini /usr/local/nginx/html/myblog/uwsgiconfig.ini --daemonize /usr/local/nginx/html/myblog/myblog.out

nginx做代理

        location /tx/ {
            add_header access-control-allow-origin *;
            include        uwsgi_params;
            uwsgi_pass     127.0.0.1:8008;
        }

访问api

请求图片识别和加速度模拟

http://127.0.0.1:5000/tx/image

post /tx/image http/1.1
host:host
content-type: application/json
accept: */*
cache-control: no-cache
accept-encoding: gzip, deflate
content-length: 1055
connection: keep-alive
cache-control: no-cache

{
    "url": "图片的地址"
}

返回数据

{
    "data": {
        "list": [],//模拟的点
        "url": "",//图片地址
        "x": 515,// x轴的偏移量
    },
    "message": "解析成功"
}

模拟浏览器移动

            const slider = {width: 680, point: 0, move: 0, steps: 0, posx: 0};//原本的高度
            //开始计算移动的距离
            slider.point = bgsize.width / slider.width * x;
            slider.move = handle.x + slider.point - 5;
            slider.steps = math.random() * 100 / 30 + 100;
            slider.posx = handle.x + handle.width / 2;

            logger.info(`开始识别和移动滑块`, slider);

            //滑块的位置
            await page.mouse.move(slider.posx, handle.y + handle.height / 3, {steps: slider.steps});
            await page.mouse.down();
            let val = handle.x;
            for (let i = 0; i < traces.length; i++) {
                val += bgsize.width / slider.width * (traces[i]);//缩放距离
                slider.move = val;
                if (val <= slider.posx) continue;
                await page.mouse.move(slider.move, handle.y + handle.height / 2 + 5);
            }
            await page.waitfor(100);
            await page.mouse.up();

验证码识别成功后悔返回验证识别结果的ticket

协议

授权协议：只允许研究、学习目的的分享、使用、修改，不允许任何商业用途。

原文地址：

以上就是python实现腾讯滑块验证码识别的详细内容，更多关于python 滑块验证码识别的资料请关注其它相关文章！