The threat landscape continues to evolve—individual and state-backed hackers and agencies become increasingly emboldened to compromise websites and servers, steal CPU cycles for cryptocurrency mining, embark on social engineering efforts to find backdoors, and sway public opinion through fake news and other measures. zvelo provides the most advanced URL/IP categorization database for web filtering, whitelists and blacklists, and residential and business protections against bad actors and malicious online behavior. Explore zvelo’s Cybersecurity and threat intelligence data feeds for industry leading malicious and phishing exploit detection and the most advanced cyber threat intelligence available to OEMs and device manufacturers.

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.

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.

WaterHole Attacks – Compromised Websites

Instances of large-scale compromises of both private industry and public institutions in 2013 prompted a flurry of activity among security researchers to identify emerging and established threats. Commonly identified as Advance Persistent Threats (APTs), this phenomenon is expected to continue well into the foreseeable future. Fundamental to the spread of these threats is one of their foremost methods of propagation – a water hole attack.

Detecting & Categorizing Websites that Promote Self-Harm

zvelo has received many requests from its technology partners who are in the web filtering and parental control sectors to institute and support a new category that can be used to identify websites that promote self-harm behaviors. As a result of such demand, a new “Self Harm” category has been added to the zveloDB® URL database.