Russia Attacks Sumy Oblast with Drones, Injures 13, Including 5-Year-Old Child
SUMY REGION, UKRAINE, JUL 21 – Drone and guided bomb strikes injured 13 civilians including a child, damaged homes, and caused fires as Russia seeks to reinforce control near the Ukraine-Russia border, officials said.
- On July 21, Russian forces launched a drone strike in Putyvl, injuring 13 people, including a 5-year-old boy, local officials said.
- With Moscow’s troops entrenched, as President Vladimir Putin plans to establish a buffer zone, making Sumy region a strategic target.
- Governor Oleh Hryhorov reported, while Mayor Artem Kobzar detailed three injuries and damage to a multi-storey apartment, as emergency crews work to contain the damage.
- Despite these strikes, Hryhorov noted, as four civilians, including a child, received medical assistance without hospitalization, highlighting ongoing civilian toll.
- While Kyiv and Moscow prepare to resume peace talks on July 23, as U.S. President Donald Trump’s threats to impose `severe` tariffs on Russia in 50 days underscore international pressure.
Insights by Ground AI
Does this summary seem wrong?
17 Articles
17 Articles
Russian offensives over the last 24 hours, using drones and missiles, have caused injuries in several Ukrainian regions. Donetsk's military representative reports that three civilians died on Tuesday.
·Portugal
Read Full Article

Russia attacks Sumy Oblast with drones, injures 13, including 5-year-old child
Russian forces launched a drone strike on Ukraine's northeastern Sumy Oblast on July 21, injuring 13 people, including a 5-year-old boy, local officials said.
·Kyiv, Ukraine
Read Full ArticleAbout an hour ago, a Russian strike UAV attacked the Sumy community.
A Russian drone attack on an energy facility in the Sumy region of northern Ukraine caused a power outage for 220,000 consumers, President Volodymyr Zelensky said on Wednesday (July 23). More...
·Greece
Read Full ArticleCoverage Details
Total News Sources17
Leaning Left3Leaning Right2Center0Last UpdatedBias Distribution60% Left
Bias Distribution
- 60% of the sources lean Left
60% Left
L 60%
R 40%
Factuality
To view factuality data please Upgrade to Premium