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Drone debris spark fire at two enterprises in Russia's Krasnodar region, authorities say
The strike targeted oil infrastructure in Krasnodar Krai amid Kyiv's campaign to cut Moscow's oil revenues that fund its war, with one person hospitalized and fires reported.
- On Jan. 26, Ukrainian drones reportedly struck an oil refinery in Slovyansk-na-Kuban, Krasnodar Krai, and regional operational headquarters said debris fell onto two enterprises.
- Kyiv is escalating its campaign against Russian oil and gas infrastructure, targeting Krasnodar Krai where a Jan. 22 strike hit the Tamanneftegaz oil terminal.
- Residents posted photos and videos showing a glowing night sky near the refinery, but The Kyiv Independent could not immediately verify the reports nor did Ukraine's military comment.
- Officials said one person was hospitalized with non-life-threatening injuries after the incident, but no information was immediately available on the extent of damage, regional officials added.
- Reuters reported oil and gas tax revenues will likely drop 46% this month to roughly 420 billion rubles , compared to January 2025.
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According to the regional governor, the attacks also caused a lot of material damage.
On Monday Ukraine claimed responsibility for a drone attack on a refinery located in the...
·Spain
Read Full ArticleDrone debris spark fire at two enterprises in Russia's Krasnodar region, authorities say
Two enterprises caught fire and one person was injured in the city of Slavyansk-on-Kuban in Russia's Krasnodar region after drone fragments fell on them, the regional emergencies centre said on Monday.
·United Kingdom
Read Full ArticleOn the night of January 26, Ukrainian drones are said to have attacked an oil refinery in the Russian Krasnodar region. Authorities report an injured person, data on damage are so far unclear.
·Berlin, Germany
Read Full ArticleNew details of the drone raid on the Russian Federation have come up.
Coverage Details
Total News Sources31
Leaning Left6Leaning Right6Center4Last UpdatedBias Distribution38% Left, 37% Right
Bias Distribution
- 38% of the sources lean Left, 37% of the sources lean Right
38% Left
L 38%
C 25%
R 37%
Factuality
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