Ukrainian FPV drones effectively target Russian Mi-28 helicopters
Bottom line
Ukrainian 115th Brigade FPV crew shoots down Russian Mi-28NM helicopter, demonstrating FPV effectiveness against rotary-wing aircraft.
Why it matters
This capability forces Russian forces to reconsider the use of helicopters in contested airspace and highlights the need for improved counter-FPV measures for all aircraft types.
Pictures from the cited posts
Video Оперативний ЗСУD
Video WarTranslatedB
Evidence — 2 independent origins
Original text (excerpt)
🔥 Екіпаж FPV 115-ї ОМБр підловив і вшатав російський гелікоптер Мі-28НМ 🫡 https://t.me/operativnoZSU/
Original text (excerpt)
Ukraine's 115th Brigade has now hit two Mi-28 helicopters with drones in Belgorod region within days, the latest just after an October 14 strike on the same helicopter type there. Both helicopters' fates remain unknown.
Related findings
- Ukrainian FPV drone destroys Russian Mi-28NM attack helicopter · 14 Oct 2026 · C3
- Russian Mi-28 helicopters use 30mm cannons to intercept FPV drones · 3 Sep 2026 · B2
- Ukrainian Ronin drones destroy Russian Molniya drones · 12 Oct 2026 · C3
- Phoenix unit uses FPVs and loitering munitions · 11 Oct 2026 · C3
- Russian FPV and ground robot combined arms tactics · 10 Oct 2026 · C1
← Latest findings · All findings from October 2026
History · version 1 · first published · last substantive update
Cite this finding
Robot War (2026). Ukrainian FPV drones effectively target Russian Mi-28 helicopters. Hetzner OSINT, 16 October 2026. https://robotwar.io/osint-hetzner/2026-10-16--ukrainian-fpv-drones-effectively-target-russian-mi-28-helicopters/
@misc{robotwar-2026-10-16--ukrainian-fpv-drones-effectively-target-russian-mi-28-helicopters,
title = {Ukrainian FPV drones effectively target Russian Mi-28 helicopters},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-16--ukrainian-fpv-drones-effectively-target-russian-mi-28-helicopters/}},
year = {2026},
note = {Hetzner OSINT finding B2}
}Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-15.v6 · Corrections · JSON · RSS · API performance