PandaLabs, the anti-malware laboratory of Panda Security, the company responsible for Panda Cloud Antivirus, released its quarterly report today, detailing cyber-threat activity from April to June 2010.
Some of the key findings include:
Trojans once again topped the rankings, accounting for nearly 52 percent of new malware identified by PandaLabs during the quarter.
Traditional viruses have continued their revival since the onset of 2010, now accounting for nearly 25 percent of all new malware, up from 15 percent in Q1 after showing a decline in previous years.
Taiwan once again remains in the No. 1 position for infection rankings by country.
The discovery of Tabnabbing in May poses a new and potentially dangerous phishing threat to users.
Social networking continues to be an increasingly popular threat vector.
Knowledge is power, and we, as computer users, need as much power as we can get in order to stay safe on the Internet. So, I encourage you to read the highlights of this just released report so that you are aware of the numerous vulnerabilities discovered over the last three months.
Download the PDF full report here.
Since 1990, its mission has been to detect and eliminate new threats as rapidly as possible to offer our clients maximum security. To do so, PandaLabs has an innovative automated system that analyzes and classifies thousands of new samples a day and returns automatic verdicts (malware or goodware). This system is the basis of collective intelligence, Panda Security’s new security model which can even detect malware that has evaded other security solutions.
Currently, 99.4 percent of malware detected by PandaLabs is analyzed through this system of collective intelligence. This is complemented through the work of several teams, each specialized in a specific type of malware (viruses, worms, Trojans, spyware, phishing, spam, etc), who work 24/7 to provide global coverage. This translates into more secure, simpler and more resource-friendly solutions for clients.
More information is available in the PandaLabs blog.
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