不用逆向,自动生成HM4hUBT0dDOn80T,附带源码!

不用逆向,自动生成HM4hUBT0dDOn80T,附带源码!

声明

本文只作学习研究,禁止用于非法用途,否则后果自负,如有侵权,请告知删除,谢谢!
本篇文章是一个付费文章,完整版请移步公众号:“编码天空”

引言

文书网自从去年上瑞数之后,我就离职了。

笔者试过利用手扣JS、扫瑞树后台、miniblink浏览器直接修改指纹、c#的cef、套路对方销售拿到部署软件的方法来达到目的,但这种方法成本也挺高的,领导给你时间,客户可不给你时间。且人家8-12点上线A版,12-13下线反爬,20点上线反爬且改了一版,凌晨8点再上线A版反爬。除非你有日志,且知道到底有几版反爬,不然就要加班好久。故想到一种自动生成cookie的方法,这个方法结合dubbo分布式日采集40万。

对线的时候得知己知彼,比如对方英雄出了些啥装备。对方专利说根据80T解密后,根据各个特征值归类,一类高风险的值直接干掉,这也就能解释某博看到的好多人吐槽啥都没干呢,就不让访问了。同时意味着:我只要把某值搞成高风险,就能增加误杀率亦或者我只要不触发浏览器指纹这种独有的东西,他就不敢封我,虽然都是个人推测,但我的代码运行好久了,所以我为准。
在这里插入图片描述
那我们只需要注意以下几点:

1.指纹(画布、字体、音频)
2.HM4hUBT0dDOn80S是你访问网站后人家setcookie给你的,涉及HM4hUBT0dDOn80S和ip绑定
3.webrtc暴露IP

下面介绍一种简单高效的,无视瑞数生成可用cookie法,直接上几张效果图,前方高能,不要眨眼!!!
在这里插入图片描述
在这里插入图片描述
可以看到,生成cookie不限,因此只要解决掉指纹、webrtc和80s就无后顾之忧了,可以100%获取数据。

指纹源代码及hook工作

function getcanvas(){
    
    
	var canvasEle = window['document']['createElement']('canvas');
	if (canvasEle && canvasEle['getContext']) {
    
    
		canvasEle['width'] = 200;
		canvasEle['height'] = 50;
		canvas2d = canvasEle['getContext']('2d');
		canvas2d['textBaseline'] = "top";
		canvas2d['font'] = "18px 'Arial'";
		canvas2d['fillStyle'] = '#f82';
		canvas2d['fillRect'](0, 0, 100, 30);
		canvas2d['fillStyle'] = '#17e';
		canvas2d['fillText']('ActiveXObject', 3, 16);
		canvas2d['fillStyle'] = 'rgba(240,110,53,0.4)';
		canvas2d['fillText']('ActiveXObject', 5, 18);
		imageBase64Str = canvasEle['toDataURL']();
		console.log(imageBase64Str);
	}
}

打印出结果是一个Base64图片

data:image/png;base64,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

可以在浏览器上看到长这个样子
在这里插入图片描述

canvas指纹干扰

以下内容皆是付费内容,移步公众号“编码天空”

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转载自blog.csdn.net/ggl1438/article/details/107368069