Report on the Spam in I quarter of Panda Security

April 27, 2009, 1:56 pm

report on the spam in i quarter of panda security   The company Panda Security during the first quarter of 2009, analyzed 69 million corporate e-mail through its mail filtering managed service Panda TrustLayer Mail. The analysis found that during the first quarter of 2009, less than 7% of the letters included in the corporate e-mail can be attributed to a useful and legitimate mail. About 90% of messages were classified as spam, while 1, 66% were infected with any type of malicious software.
In the first quarter of 2009, the total number of incoming spam at a corporate e-mail over the same period in 2008, increased slightly (in 2008, spam was 89, 88% of the total number of emails received by corporate users).
With regard to the various types of spam, the total number of junk e-mail, referring to the false offers of work has increased, possibly because of the current economic crisis.
Among the leaders on the level of spam in the first quarter of 2009 continues to lead the U. S. (11, 61% of the total number of spam), in second place - Brazil (11, 5%), the third - Romania (5, 8% ). Russia in this ranking is the eighth line (3, 81%).
The vast majority of spamovyh letters were distributed through networks of zombie computers known as botnety (botnets). These computers are infected with bots, allow hackers to carry out a remote control system for its malicious activity, mainly to send spam. When multiple computers are operated simultaneously, they are already a bot-network. In the first quarter of 2009, more than 302, 000 computers infected bots every day and turns into a zombie.
Tvitter (Twitter), being one of the most popular applications, Web 2. 0, in the first quarter of 2009 stood among cyber-criminals popular resource that has been used by them as a platform to launch attacks fishingovyh.
The essence of the attack is as follows:Tvittera the user receives a message from another user, informing him that the blog contains interesting correspondence or pictures. When a user comes to the proposed link, it redirected to a false page Tvittera. If the user specifies the data on this page, they fall into the hands of cyber criminals who will use this data to send spam.
More information on spam, you can see in the quarterly report PandaLabs.


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