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.
Prior to this blog post, zveloLABS published a phishing URL alert about fake Apple account verification websites. Now, zvelo’s team of engineers and researchers has unearthed a new phishing attack campaign using fraudulent Facebook log-in sites.
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.