Making the Internet Safer and More Secure. zvelo provides industry-leading cyber threat intelligence and URL classification data services. zvelo’s proprietary AI-based threat detection and categorization technologies, combines curated domains, threat and other data feeds, with the clickstream traffic from its global partner network of 600+ million users and endpoints to provide unmatched visibility, coverage, reach and accuracy. zvelo powers applications and solutions for the world's leading providers of web filtering, endpoint security, endpoint detection and response (EDR), managed detection and response (MDR), brand safety and contextual targeting, cyber threat intelligence platforms, threat analysis, and more.

To WWW or Not to WWW? – zvelo categorization

If one performs the search “use www or not,” well over a billion results in many of the most popular search engines are returned. The focus of each result may differ. For zvelo, the usage is irrelevant because its contextual categorization processes are designed to identify and handle each component of a URL. At a simplistic view, the basic components of a URL are the following:

More Relevancy for Ad Targeting with Greater Granularity

zvelo once offered 53 categories that were used to classify content on websites about Businesses & Services, Politics & Law, Portal Sites and others. This was later raised to 141 categories to help cover even more topics. The latest version boasts nearly 500 categories, making it one of the most granular categorization sets in the industry. We’ve managed to upgrade our categorization systems to better serve the needs of our existing and future technology partners and following is one example why this matters.

Thoughts on Secure Programming, Education and BYOD

Recent events serve as the best example of how the context of security has shifted from the once server-centric model to that of a decentralized threat landscape. From the Heartbleed attacks to the widespread Internet Explorer vulnerabilities and finally the sensationalized OAuth issues, it appears that even organizations with a hardened perimeter infrastructure are just as vulnerable as an end-user at home.

Full Path URL Content Classification

Given the dynamic nature of the majority of today’s websites, categorization at the full path URL versus the base domain is superior and now required. Parts of a website include the top-level domain (.com, .org, etc.), the base domain (example.com), sub-domain (subdomain.example.com) or sub-path (example.com/page). When categorizing content, it is highly important to recognize exactly what is being classified within a website because content can differ dramatically across full path URLs.

Website categorization and URL Parameters

What is a URL parameter? Quite simply it is a string of characters, or a query string, that is appended to a URL that contains data. This data is passed to predefined web applications to find the appropriate content and return it back to the user’s web browser which then generates the entire web page. The query string can also be used for various other methods such as identifying a user’s session or using it as a way to look up information about your online bank account after you have logged in. URLs with parameters are used by various types of web sites however online shopping, auction, and banking type sites are probably the most prevalent.

Using Keyword Density for Website Categorization

Manually classifying the content on a single web page takes but a few seconds to accomplish. Analyzing the keywords – words or phrases – used and the number of instances of each – keyword density – is one way to go about it. When needing to classify the content on billions of web pages at a time, however, the task becomes overwhelmingly daunting for any human eye to handle. In this scenario, only an automated content classification engine can succeed.