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：https://github.com/zhaojunlike/python-tecent-slider-crack

参考：https://janikarhunen.fi/how-to-install-python-3-6-1-on-centos-7

sudo yum install https://centos7.iuscommunity.org/ius-release.rpmsudo yum install python36upython3.6 -Vsudo yum install python36u-pipsudo yum install python36u-devel创建环境 Creating a virtualenv

python3.6 -m venv venv. venv/bin/activatepip 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.servicesystemctl enable captcha.servicesystemctl 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.outnginx做代理

location /tx/ { add_header Access-Control-Allow-Origin *; includeuwsgi_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/imagePOST /tx/image HTTP/1.1Host:hostContent-Type: application/jsonAccept: */*Cache-Control: no-cacheAccept-Encoding: gzip, deflateContent-Length: 1055Connection: keep-alivecache-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

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：https://segmentfault.com/a/1190000020618430

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好吧啦网其它相关文章！