京东登录滑条验证破解 -- 纯js方法

ゝ一世哀愁。 2021-09-25 01:58 752阅读 0赞

**声明：本文章仅供学习探讨，不建议用于商业用途！**

提供一个思路，就是在滑条的div下再追加一个元素A，在元素A创建、注册mouse事件，注意要允许冒泡事件，这样元素A的事件也会触发了滑块的事件，然后将元素A创建鼠标的mousedown、mousemove、mouseup 事件，利用mousemove的冒泡事件触发滑条的事件，最后再调整一下速度，也就是模拟一下人工的速度，先加速后减速，最后停止，就ok了。 注意时间的长度尽量长一点，不然京东会认为这是机器在操作。

具体操作流程：

1. 在京东登录页面中找到滑块的元素位置

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dhd2F3YXdhd2F3YWE_size_16_color_FFFFFF_t_70][]

2. 在滑块的元素下新增任意一个div，具体代码可以是这样，实际可以自己任意定义

var sliderBtnHtml = `<div id='sliderBtn' style='width:50px;height:50px;background:green;left:0px;top:0px;position: absolute;'></div>`; 
    	var sliderDiv = document.querySelector('#JDJRV-wrap-loginsubmit > div > div > div > div.JDJRV-slide-bg > div.JDJRV-slide-inner.JDJRV-slide-btn');
    	sliderDiv.innerHTML = '';
    	sliderDiv.insertAdjacentHTML('beforeEnd', sliderBtnHtml);
    	var slider = document.querySelector('#JDJRV-wrap-loginsubmit > div > div > div > div.JDJRV-slide-bg > div.JDJRV-slide-inner.JDJRV-slide-btn > div#sliderBtn');

3. 新增后会变成下面这样，滑块多了一块绿色的东西；注意：绿色块要在滑块的div下

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dhd2F3YXdhd2F3YWE_size_16_color_FFFFFF_t_70 1][]

4. 给绿色块新增点击、滑动事件，这样绿色块会触发冒泡事件到滑块中；这样绿色块滑动了，滑块也会跟着滑动

//京东滑块破解js代码
    	var x = 0;
    	var y = 0;
    	var l = 0;
    	var t = 0;
    	var speedDown;
    	var speedUp;
    	var isDown = false;
    	var sliderBtnHtml = `<div id='sliderBtn' style='width:50px;height:50px;background:green;left:0px;top:0px;position: absolute;'></div>`; 
    	var sliderDiv = document.querySelector('#JDJRV-wrap-loginsubmit > div > div > div > div.JDJRV-slide-bg > div.JDJRV-slide-inner.JDJRV-slide-btn');
    	sliderDiv.innerHTML = '';
    	sliderDiv.insertAdjacentHTML('beforeEnd', sliderBtnHtml);
    	var slider = document.querySelector('#JDJRV-wrap-loginsubmit > div > div > div > div.JDJRV-slide-bg > div.JDJRV-slide-inner.JDJRV-slide-btn > div#sliderBtn');
    	window.onmousemove = function(e){
    		 if (isDown == false) {
    		        return;
    		    }
    		 var nx = e.clientX;
    	    var ny = e.clientY;
    	    //计算移动后的左偏移量和顶部的偏移量
    	    var nl = nx - (x - l);
    	    var nt = ny - (y - t);
    
    	    console.log("nl:"+nl+","+"nt:"+nt+",nx:"+nx+", ny:"+ny+", x:"+x+", y:"+y+", l:"+l+", t:"+t+", xPos:"+window.xPos+", yPos:"+window.yPos);
    		slider.style.left = nl+'px';
    		//slider.style.top = nt+'px';
    	};
    
    	slider.onmousedown = function(e){
    		 x = e.clientX;
    	    y = e.clientY;
    
    	    //获取左部和顶部的偏移量
    	    l = slider.offsetLeft;
    	    t = slider.offsetTop;
    	    //开关打开
    	    isDown = true;
    	    //设置样式
    	    slider.style.cursor = 'move';
    	};
    
    	slider.onmouseup = function(e) {	    //开关关闭
    	    isDown = false;
    	    this.style.cursor = 'default';
    	};
    
    	
    	var currentLeft = sliderDiv.getBoundingClientRect().left + 10;
    	var currentTop = sliderDiv.getBoundingClientRect().top + 10;
    
    	var MouseEvents = document.createEvent('MouseEvents');
    	MouseEvents.initMouseEvent('mousedown', true, true, window, 0,currentLeft,currentTop,currentLeft,currentTop);
    	slider.dispatchEvent(MouseEvents);
    
    	var mouseMoveEvent = function(ofsx, ofsy){
    		MouseEvents.initMouseEvent('mousemove', true, true, window, 0, ofsx, ofsy, ofsx, ofsy);
    		return MouseEvents;
    	};
    
    	var distance = currentLeft + 110;  //110是滑块到拼图的位置的距离，是python opencv计算出来的
    	speedUp = setInterval(function() {
    		slider.dispatchEvent(mouseMoveEvent(currentLeft, currentTop));
    		currentLeft = currentLeft + 20 + Math.ceil(Math.random()*3);
    		if(currentLeft >= distance + 21){
    			clearInterval(speedUp);
    
    			sleep(3000); //等待1.5秒
    			//往后
    			speedDown = setInterval(function(){
    				slider.dispatchEvent(mouseMoveEvent(currentLeft, currentTop));
    				currentLeft = currentLeft - Math.ceil(Math.random()*3);
    
    				if(currentLeft <= distance){
    					clearInterval(speedDown);
    					
    					//2秒后执行
    					setTimeout(function(){
    						MouseEvents.initMouseEvent('mouseup', true, true, window, 0, currentLeft, currentTop,currentLeft, currentTop);
    						slider.dispatchEvent(MouseEvents);
    					}, 2000);
    				}
    				
    			}, 60);
    		}
    	}, 40);
    
    	function sleep(second){
    		for(var i = 0; i < second; i++){
    
    		}
    	};

5. 最后创建 initMouseEvent 事件，然后 dispatchEvent 触发模拟事件就可以了；具体代码自己写，不难的

至于需要滑动的偏移量，可以将缺口图片的大图的base64给python的opencv进行计算具体如下（下面的calculationDistance接口返回的distance 就是 需要移动的偏移量）：

# -*- coding: utf-8 -*-
    import flask,json
    import cv2
    import numpy as np
    import base64
    server = flask.Flask(__name__)
    
    @server.route("/index", methods=['get'])
    def index():
        res = {"msg":"这是一个接口", "msg_code":"0"}
        return json.dumps(res)
    
    @server.route("/calculationDistance", methods=['post'])
    def calculationDistance():
    
        background = flask.request.values.get('background')
        slider = flask.request.values.get('slider')
    
        if background is None:
            res = {"msg":"background 参数为空", "msg_code":"-1", "distance": ""}
            return json.dumps(res)
    
        if slider is None:
            res = {"msg":"slider 参数为空", "msg_code":"-1", "distance": ""}
            return json.dumps(res)
    
        background_img_data = base64.b64decode(background)
        background_img_array = np.fromstring(background_img_data, np.uint8)
        background_img = cv2.imdecode(background_img_array, cv2.COLOR_RGB2BGR)
    
        slider_img_data = base64.b64decode(slider)
        slider_img_array = np.fromstring(slider_img_data, np.uint8)
        slider_img = cv2.imdecode(slider_img_array, cv2.COLOR_RGB2BGR)
    
        res = cv2.matchTemplate(background_img, slider_img, cv2.TM_CCORR_NORMED)
        value = cv2.minMaxLoc(res)[2][0]
        # distance = value * backgroundWidth / 360
        distance = value
    
        res = {"msg":"这是calculationDistance接口", "msg_code":"0", "distance": distance}
        return json.dumps(res)
    
    server.run(port=9991, host='0.0.0.0', debug=True)

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dhd2F3YXdhd2F3YWE_size_16_color_FFFFFF_t_70]: /images/20210923/171f2d6c17314b0d969cab8601e1ca39.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dhd2F3YXdhd2F3YWE_size_16_color_FFFFFF_t_70 1]: /images/20210923/19aaf5aaaae4496489d5931ce90d27ef.png