Noticeable surge in spam web pages led to new detection approach
Greenwood Village, Colorado – January 29, 2013 – zvelo, a leading provider of malicious website detection solutions for original equipment manufacturers has announced the availability of an enhanced spam web page detection feature. The feature is aimed at helping web filtering, network security, online brand safety and other market segments with the real-time detection of spam.
“Our new spam web page detection feature will enable our partners in the online brand safety and ad verification markets to avoid placing ads on pages with high link density and low content quality,” explains David Duncan, zvelo’s Vice President of Engineering. “It will also enable our partners in the web filtering market to block unproductive spam web pages before they are accessed by their end-users.”
The enhanced feature is part of zvelo’s AutoCategorization (AutoCat) engine which utilizes proprietary, machine-learning technologies to analyze and contextually categorize new URLs across dozens of languages. Insights into zvelo’s spam web page detection approach, including the unique point grading system deployed to determine if a page is spam, can be read on the official zveloBLOG.
About zvelo, Inc.
zvelo is a leading provider of dynamic website categorization technologies, URL database (zveloDB), malicious, compromised, and objectionable website detection services, and reputation blocklist solutions. zvelo licenses its zveloDB exclusively through Original Equipment Manufacturer (OEM) partnerships. OEMs include online advertising and brand safety technology providers, web analytics firms, service providers, endpoint security and anti-virus vendors, UTM and gateway appliance vendors, content and URL filtering vendors, and other high growth market segments where accuracy, responsiveness, coverage, malicious website detection and fast URL query performance are required.