Spam and Phishing

Opinion

Machine learning versus spam

At Kaspersky Lab, machine learning can be found in a number of different areas, especially when dealing with the interesting task of spam detection. This particular task is in fact much more challenging than it appears to be at first glance.

Publications

Holiday 2016 financial cyberthreats overview

Last November we conducted a brief analysis of the threat landscape over the holiday period – from October to December in 2014 and 2015. And we made the following prognosis: the same holiday period in 2016 will see a spike in cyberattacks. Now that the holidays are over, it is time to find out how accurate that prediction was.

Research

Facebook malware – the missing piece

Recently we revealed that a threat actors exploited social networks to spread a Trojan that captures a victim’s entire browser traffic. Approximately 10,000 Facebook users with Windows PCs were hit by malicious friend notifications. In this article we will explain the security issue and attack.

Incidents

Facebook malware: tag me if you can

A malware attack tricked around 10,000 Facebook users around the world. Compromised PCs were used to hijack Facebook accounts in order to spread the infection through the victim’s Facebook friends and for other malicious activity.

Reports
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