Check Point Research (CPR) released an update on cyber-attack trends throughout the current Russia-Ukraine war.

In a previous report, Check Point Research (CPR) observed an increase in cyber-attacks aimed at NATO countries that were sourced from Chinese IP addresses.

One month after the war started on 24th February 2022, both Russia and Ukraine saw increases in cyber-attacks of 10% and 17% respectively. CPR has also observed a 16% increase in cyber-attacks globally throughout the current conflict. CPR shares cyber-attack data for NATO countries, regions and more. CPR postulates that hackers are seeking to take advantage of the Russia-Ukraine war from all corners, while continuing to carry out other attacks in high volumes.

  • In Europe, the average weekly attacks per organization last week (a month after the war started) stood at 18% higher, than before the beginning of the war
  • In APAC, the average weekly attacks per organization last week stood at 16% higher, than before the beginning of the war
  • In North America, the average weekly attacks per organization last week stood at 14% higher, than before the beginning of the war

Check Point Research (CPR) continues to see a rise in the number of cyber attacks on both Russia and Ukraine. In Ukraine last week, the average weekly attacks per organization stood at 1697, 39% higher than before the beginning of the war, and 17% higher than the week before. In Russia last week, the average weekly attacks per organization stood at 1550, 22% higher than before the beginning of the war, and 10% higher than the week before.

Surge in Cyber Attacks World-wide

CPR is also tracking cyber-attacks world-wide amidst the current Russia-Ukraine war. Globally, the average weekly attacks per organization last week stood at 1290, 16% higher than before the beginning of the war, but 2% lower than the week before. During the entire period of the conflict so far, the average weekly rate of attacks increased by 9%, compared to the period before.

Cyber Attacks by Region

  • In Africa, the average weekly attacks per organization last week stood at 2169, 7% higher than before the beginning of the war and 1% higher than the week before. During the war, the average weekly rate of attacks increased by 2% compared to the period before the war.
  • In APAC, the average weekly attacks per organization last week stood at 1803, 16% higher than before the beginning of the war and 2% higher than the week before. During the war, the average weekly rate of attacks increased by 7% compared to the period before the war.
  • In Europe, the average weekly attacks per organization last week stood at 1101, 18% higher than before the beginning of the war and 5% lower than the week before. During the war, the average weekly rate of attacks increased by 10% compared to the period before the war.
  • In Latin America, the average weekly attacks per organization last week stood at 1773, 13% higher than before the beginning of the war and 6% lower than the week before. During the war, the average weekly rate of attacks increased by 9% compared to the period before the war .
  • In North America, the average weekly attacks per organization last week stood at 957, 14% higher than before the beginning of the war and 5% lower than the week before. During the war, the average weekly rate of attacks increased by 10% compared to the period before the war .

Cyber Attacks on NATO Countries:

The statistics and data used in this report present data detected by Check Point’s Threat Prevention technologies, stored and analyzed in ThreatCloud. ThreatCloud provides real-time threat intelligence derived from hundreds of millions of sensors worldwide, over networks, endpoints and mobiles. The intelligence is enriched with AI-based engines and exclusive research data from the Check Point Research – The intelligence & Research Arm of Check Point.

 

Appendix: Cyber Attacks by Countries

Country Change Last week vs. before the conflict Change All the war weeks (avg.) vs. before the conflict Change last week vs. week before
United States 12% 10% -5%
Germany 12% 9% -11%
United Kingdom 29% 18% -3%
India 8% 5% 0%
Italy 7% 5% -6%
Russia 22% 6% 10%
France 21% 14% -6%
Brazil 21% 15% -8%
Canada 16% 10% -2%
Netherlands 10% 6% -2%
China 14% 8% -2%
Israel 14% 11% -4%
Australia 23% 16% -3%
Turkey 32% 21% -3%
Spain 5% 0% -5%
Mexico 9% 12% -12%
Portugal 16% 9% -4%
Belgium 17% 11% -16%
Switzerland 6% 6% -5%
Singapore 11% 2% 4%
Sweden 12% 8% -9%
Taiwan 22% 11% 0%
Austria 7% 3% -11%
Norway 10% 3% -3%
Hong Kong 11% 3% 5%
Ireland 32% 14% 3%
Poland 2% 2% -6%
Czechia 46% 30% 1%
South Africa 12% 6% 3%
Japan 26% 3% 13%
Greece 5% 12% -10%
Thailand 28% 15% 4%
Vietnam 6% -1% 3%
Indonesia 6% 2% 2%
Denmark 28% 18% -8%
Colombia -15% -5% 0%
Philippines 26% 15% 0%
Republic of Korea 31% 14% 6%
Ecuador 25% 16% -2%
United Arab Emirates -7% -11% -4%
Finland 26% 16% -5%
New Zealand 38% 19% -4%
Malaysia 27% 10% 11%
Argentina 19% 8% -3%
Romania 55% 28% 19%
Panama 29% 13% 12%
Hungary 15% 9% 1%
Croatia -23% -15% -14%
Kenya 12% 6% -2%
Peru 17% 8% -1%
Chile -5% -14% -8%
Sri Lanka 7% 3% 11%
Ukraine 39% 19% 17%
Kazakhstan 118% 115% -13%
Slovenia -4% 1% -10%
Serbia 17% 6% -3%
Cyprus 75% 44% -1%
Slovakia 71% 37% 11%
Costa Rica -3% 3% -18%
Saudi Arabia 40% 21% 10%
Latvia -8% -10% -17%
Bulgaria 19% 13% 5%
Guatemala 13% 7% -1%
Luxembourg 87% 69% -4%
Belarus 46% 28% 2%
Nigeria 3% -1% -2%
Bosnia and Herzegovina 69% 40% 22%
Dominican Republic -30% -33% -7%
Mongolia 44% 25% 16%
Uruguay -2% 14% -30%
Malta 44% 28% 7%
Estonia 44% 25% 27%
Kuwait 6% -2% -4%
Republic of Lithuania 44% 39% -10%
Bolivia 36% 11% 6%
Macao 13% 4% 4%
Morocco 0% 0% -6%
Georgia 39% 31% 1%
Trinidad and Tobago 8% 11% -15%
Angola 33% 15% 7%
Nicaragua -5% -8% -5%
El Salvador -4% 10% -11%
Macedonia 31% 20% 3%
Jamaica 106% 55% 1%
Nepal 20% 5% -2%
Qatar 74% 43% 6%
Egypt 24% 30% -20%
Paraguay 6% 6% 5%
Uganda 8% 11% -4%
Bahrain 11% 10% 12%
Namibia 64% 21% 15%
Honduras 19% 22% -7%
Zambia 2% -7% 12%
Bermuda 42% 27% 8%
Cambodia -23% -28% 11%
Myanmar [Burma] 0% -7% 17%
Montenegro -8% 37% -41%
Mauritius -83% -70% 22%
Venezuela -33% -36% 3%
Bhutan -27% -28% 9%
Republic of Moldova -2% 3% -11%
Oman 37% 37% -7%

 

 

 

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