Russian Mi-28 helicopters use 30mm cannons to intercept FPV drones
Bottom line
Rare footage shows Russian Mi-28 helicopter crews using 30mm 2A42 autocannons to destroy Ukrainian FP-1 and MICH kamikaze drones, demonstrating a kinetic counter-UAS tactic.
Why it matters
Helicopter operators in contested airspace must account for kinetic drone threats that can be engaged by onboard autocannons, potentially altering flight profiles and defensive postures.
Evidence — 2 independent origins
Original text (excerpt)
Достаточно редкие кадры перехватов экипажем Ми-28 ВС РФ вражеских дронов-камикадзе FP-1 и MICH при помощи 30-мм автоматической пушки 2А42. Осведомитель
Original text (excerpt)
🇷🇺 🇺🇦 ⚡️ — Footage shows a Russian Aerospace Forces (VKS) Mi-28 crew engaging and destroying Ukrainian drones. @IntelSlava
Related findings
- Russian naval forces shoot down FP-1 drone with aircraft cannon · 25 Aug 2026 · C3
- Russian naval forces shoot down FP-1 drone with aircraft cannon · 25 Aug 2026 · C3
- Russian 30mm AA complex Zidatel ZA-30 unveiled for drone defense · 13 Sep 2026 · B3
- Ukraine strikes Moscow refineries and warehouses with FP-5 Flamingo · 20 Sep 2026 · B1
- Ukrainian FP-1 drone performs evasive maneuvers over Moscow · 16 Aug 2026 · B1
← Latest findings · All findings from September 2026
History · version 1 · first published · last substantive update
Cite this finding
Robot War (2026). Russian Mi-28 helicopters use 30mm cannons to intercept FPV drones. Hetzner OSINT, 3 September 2026. https://robotwar.io/osint-hetzner/2026-09-03--russian-mi-28-helicopters-use-30mm-cannons-to-intercept-fpv-drones/
@misc{robotwar-2026-09-03--russian-mi-28-helicopters-use-30mm-cannons-to-intercept-fpv-drones,
title = {Russian Mi-28 helicopters use 30mm cannons to intercept FPV drones},
author = {Robot War},
howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-03--russian-mi-28-helicopters-use-30mm-cannons-to-intercept-fpv-drones/}},
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