March 2016 Cyber Attacks Statistics

I finally found the time to aggregate the data of the timelines of March (part I and part II) into statistics.

As usual let’s start from the Daily Trend of Attacks, which shows quite a sustained level of activity throughout the entire month, most of all during the first half.

March 2016 Trend

Cyber Crime ranks on top of the Motivations Behind Attacks chart with a noticeable 73.9%, a sharp increase compared with 62.7% of February. On the other hand hacktivists seem to have taken a temporary period of vacation in March (maybe due to the beginning of Spring), since Hacktivism reduces its quota to a modest 12%, less than one half of the percentage reported in February (28%). Cyber Espionage ranks at number three and also reports a noticeable growth (10.9% vs 5.3% in February). Last but not least, the attacks motivated by Cyber Warfare drop to 3.3% from 4% reported in February.

March 2016 Motivations

In the 32.6% of the cases the Attack Vectors are unknown. Account Hijackings rank at number one among the known attack vectors with 20.7% (was 12%, this growth is the effect of the numerous BEC and tax return scams reported in March). SQLi, an evergreen, confirms its momentum with 9.8% (was 10.7% in March), the same percentage of Targeted attacks (was 9.3% in March).

March 2016 Attacks

Industries lead the Distribution of Targets chart with 33.7% (was 29.3% in February). Governments  rank at number two (9.8%, was 14.7% in February), whereas all the other targets are behind. Effectively this month the Distribution of Targets appear particularly fragmented.

March 2016 Targets

The Industry Drill Down Chart is also particularly fragmented this month (tax scams do not privilege any particular sector) and is led by Retail, Telco and Hospitality (12.5% each). Software and Financial Services are behind (8.3%) and above all the other sectors.

March 2016 Industry Drill Down

As usual, the sample must be taken very carefully since it refers only to discovered attacks included in my timelines, aiming to provide an high level overview of the “cyber landscape”.

If you want to have an idea of how fragile our data are inside the cyberspace, have a look at the timelines of the main Cyber Attacks in 2011, 2012, 2013, 2014 and now 2015 (regularly updated). You may also want to have a look at the Cyber Attack Statistics.

Of course follow @paulsparrows on Twitter for the latest updates, and feel free to submit remarkable incidents that in your opinion deserve to be included in the timelines (and charts).

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