After the cyber attacks timelines (part I and part II), it’s finally time to publish the statistics of March 2022 (spoiler alert) characterized by the events that are happening in Ukraine. In March I have collected 244 events, a sharp increase compared to the 202 of February, and you will soon find out that the percentage of events motivated by hacktivism, cyber warfare, and cyber espionage are considerably higher than the values of the previous months.
Cyber crime continues to lead the Motivations chart, but its percentage continues to drop reaching the minimum value of 59.8% from 73.6%. Hacktivism soars to 14.3% from 5.7%, ahead of cyber espionage (12.7% from 10.4%) and cyber warfare (10.2% from 7.3%).
Malware continues to lead the Attack Techniques chart with a percentage that is stable around 30% and very close to Febuary (30.7% vs 32.6%). Account takeovers rank at second place among the known attack techniques with 13.1% (it was 16.1% in February). Even in March the podium is closed by targeted attacks with 8.2% (it was 9.3% in February), and once again ahead of vulnerabilities stable at 7.8% from 8.8% of February).
And once again, the Target Distribution chart is led by attacks against multiple targets with 25.8% (it was 26.9% in February) ahead of governements with 16% from 10.9%) another consequence of he crisis in Ulraine, and healthcare organizations with 13.9%.
Check out the interactive charts and the statistics, also available as an infographic.
As always bear in mind that the sample refers exclusively to the attacks included in my timelines, available from public sources such as blogs and news sites. Obviously the sample cannot be complete, but only aims to provide an high level overview of the threat landscape.
Finally, please support my work, sharing the content, and of course follow @paulsparrows on Twitter for the latest updates.
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July 2022 Cyber Attack Statistics
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16-30 June 2022 Cyber Attacks Timeline
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1-15 June 2022 Cyber Attacks Timeline
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1-15 March 2022 Cyber Attacks Timeline
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July 2022 Cyber Attack Statistics
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Similarly to what I have done in 2021, I am now collecting the incidents due to cloud misconfigurations and leading to the exposure of data.
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As promised, I have pulled together some statistics from the data collected in 2020. The master table is available at the end of the post after the charts.
