With the development of the Internet, ways of obtaining important data such as passwords and logins or sensitive personal data have increased. One of the ways to extract such information is page impersonation, also called phishing. Such websites do not provide service but collect sensitive details from the user. Here, we present you with ways to detect such malicious URLs with state of art accuracy with neural networks. Different from previous works, where web content, URL or traffic statistics are examined, we analyse only the URL text, making it faster and which detects zero-day attacks. The network is optimised and can be used even on small devices such as Ras-Pi without a change in performance.

翻译：随着互联网的发展,获取诸如密码和登录或敏感个人数据等重要数据的方法有了增加。 提取这类信息的方法之一是网页冒名顶替, 也称为钓鱼。 这些网站不提供服务,而是收集用户的敏感细节。 这里, 我们向您介绍如何通过神经网络检测这种具有最新准确性水平的恶意URL。 不同于以前对网络内容、 URL 或交通统计进行审查的以往工作, 我们只分析URL 文本, 使其更快, 检测零天攻击。 网络是优化的, 甚至可以用于像 Ras- Pi 这样的小型设备, 而不改变性能 。