United States Ranks Fifth Most Popular Spam Originator Worldwide, According To New Research From PandaLabs
Results based on analysis of nearly five million spam messages generated in January and February 2010ORLANDO, Fla., March 24 /PRNewswire/ -- PandaLabs, Panda Security's malware
analysis and detection laboratory, announced today that the United States is
currently the fifth most popular spam originator worldwide, with 5.5 percent of
spam being sent globally from US IP addresses. Brazil, India, Vietnam and Korea
are also among the top five countries from which most spam was sent during the
first two months of 2010, according to the study. The five million emails
analyzed by PandaLabs came from nearly one million different IP addresses,
meaning that on average, each address was responsible for five spam messages.
The spam messages themselves are used primarily to distribute malware or sell
illicit products, such as videos or photos of Brazilian girls. The ranking for
January and February 2010 is as follows:
Country % Spam % IPs
------- ------ -----
BRAZIL 13.76 8.60
------ ----- ----
INDIA 10.98 8.60
----- ----- ----
KOREA, REPUBLIC OF 6.32 4.00
------------------ ---- ----
VIETNAM 5.71 6.01
------- ---- ----
UNITED STATES 5.46 7.17
------------- ---- ----
RUSSIAN FEDERATION 2.85 2.90
------------------ ---- ----
ROMANIA 2.53 3.42
------- ---- ----
COLOMBIA 2.37 1.82
-------- ---- ----
UNITED KINGDOM 2.34 3.06
-------------- ---- ----
POLAND 2.31 3.05
------ ---- ----
CHINA 2.26 2.20
----- ---- ----
GERMANY 2.17 4.48
------- ---- ----
ARGENTINA 1.86 1.72
--------- ---- ----
With respect to the cities from which spam was being sent, Seoul was first in
the list, followed by Hanoi, New Delhi, Bogota, Sao Paulo and Bangkok. An image
of the global ranking can be found here:
http://www.flickr.com/photos/panda_security/4457152928/
City Country %
---- ------- ---
Seoul KOREA, REPUBLIC OF 4.64
----- ------------------ ----
Hanoi VIETNAM 3.99
----- ------- ----
New Delhi INDIA 1.67
--------- ----- ----
Bogota COLOMBIA 1.33
------ -------- ----
Sao Paulo BRAZIL 1.19
--------- ------ ----
Bombay INDIA 1.13
------ ----- ----
Bangkok THAILAND 1.08
------- -------- ----
Bucharest ROMANIA 1.00
--------- ------- ----
Kiev UKRAINE 0.96
---- ------- ----
Jakarta INDONESIA 0.85
------- --------- ----
Buenos Aires ARGENTINA 0.84
------------ --------- ----
Rio De Janeiro BRAZIL 0.84
-------------- ------ ----
Santiago CHILE 0.80
-------- ----- ----
Beijing CHINA 0.67
------- ----- ----
Lima PERU 0.66
---- ---- ----
Salvador BRAZIL 0.63
-------- ------ ----
Santo Domingo DOMINICAN REPUBLIC 0.62
------------- ------------------ ----
Moscow RUSSIAN FEDERATION 0.56
------ ------------------ ----
Taipei TAIWAN, PROVINCE OF CHINA 0.56
------ ------------------------- ----
Hyderabad INDIA 0.47
--------- ----- ----
Additional graphics depicting specific breakdowns by country can be seen here:
Percent Spam by Country: http://www.flickr.com/photos/panda_security/4456374291/
Percent IP Addresses Sending Spam by Country:
http://www.flickr.com/photos/panda_security/4456374291/
For more information, please visit: http://www.pandalabs.com.
About PandaLabs
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: http://www.pandalabs.com.
SOURCE Panda Security
More Insights