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任意用户密码重置(四):重置凭证未校验

在逻辑漏洞中,任意用户密码重置最为常见,可能出现在新用户注册页面,也可能是用户登录后重置密码的页面,或者用户忘记密码时的密码找回页面,其中,密码找回功能是重灾区。我把日常渗透过程中遇到的案例作了漏洞成因分析,这次,关注因重置凭证未校验导致的任意用户密码重置问题。 传送门: 任意用户密码重置(一):重置凭证泄漏 任意用户密码重置(二):重置凭证接收端可篡改 任意用户密码重置(三):用户混淆 密码找回需要鉴别用户的合法身份,证明你就是你,通常有两种做法,一是网站将重置验证码发至用户绑定的邮箱或手机号,用户持重置

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Google Earth Engine——全球摩擦面列举了北纬85度和南纬60度之间的所有陆地像素在2015年的名义年的陆地迁移速度。

This global friction surface enumerates land-based travel speed for all land pixels between 85 degrees north and 60 degrees south for a nominal year 2015. This map was produced through a collaboration between the University of Oxford Malaria Atlas Project (MAP), Google, the European Union Joint Research Centre (JRC), and the University of Twente, Netherlands. The underlying datasets used to produce the map include roads (comprising the first ever global-scale use of Open Street Map and Google roads datasets), railways, rivers, lakes, oceans, topographic conditions (slope and elevation), landcover types, and national borders. These datasets were each allocated a speed or speeds of travel in terms of time to cross each pixel of that type. The datasets were then combined to produce this “friction surface”, a map where every pixel is allocated a nominal overall speed of travel based on the types occurring within that pixel, with the fastest travel mode intersecting the pixel being used to determine the speed of travel in that pixel (with some exceptions such as national boundaries, which have the effect of imposing a travel time penalty). This map represents the travel speed from this allocation process, expressed in units of minutes required to travel one meter. It forms the underlying dataset behind the global accessibility map described in the referenced paper.

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一种精确从文本中提取URL的思路及实现

在今年三四月份,我接受了一个需求:从文本中提取URL。这样的需求,可能算是非常小众的需求了。大概只有QQ、飞信、阿里旺旺等之类的即时通讯软件存在这样的需求。在研究这个之前,我测试了这些软件这块功能,发现它们这块的功能还是非常弱的。这类软件往往也是恶意URL传播的媒介,如果不能准确识别出URL,相应的URL安全检测也无从谈起。而且网上也有很多使用正则表达式的方法,可是我看了下,方法简单但是不够精确,对于要求不高的情况可以胜任,但是如果“坏人”想绕过这种提取也是很方便的。(转载请指明出处)下面也是我在公司内部做的一次分享的内容:

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