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TacticD4likely · low confidenceRU · adversary

Russian MoD claims Skat-350M drones guide Hyacinth artillery

Bottom line

Russian MoD claims Skat-350M reconnaissance drones are guiding Hyacinth artillery fire against Ukrainian positions in the Krasno Lyman direction, achieving target destruction.

Why it matters

Demonstrates Russian efforts to integrate UAVs with heavy artillery for precision strikes, potentially improving accuracy and reducing collateral damage in urban areas, which NATO forces must counter with EW and air defense.

Russian MoD reports that Skat-350M reconnaissance drones are being used to guide Hyacinth artillery fire against Ukrainian positions on the Krasno Lyman direction, resulting in target destruction. This indicates integration of specific Russian UAV platforms with heavy artillery systems for precision strikes.

Evidence — 1 independent origin

  • Минобороны Россииsource Dorigin t.me
    Original text (excerpt)

    «Скат» доводит дело до конца 🎯 Расчеты разведывательных БПЛА «Скат-350М» навели артиллеристов на позиции противника на Краснолиманском направлении. Дроноводы корректировали огонь «Гиацинта» до полного уничтожения цели. #ВойскаБПС 🔹 MAКС – территория СВОих

NamedSkat-350MHyacinthTopicsdronesrussia

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian MoD claims Skat-350M drones guide Hyacinth artillery. Hetzner OSINT, 19 September 2026. https://robotwar.io/osint-hetzner/2026-09-19--russian-mod-claims-skat-350m-drones-guide-hyacinth-artillery/

@misc{robotwar-2026-09-19--russian-mod-claims-skat-350m-drones-guide-hyacinth-artillery,
  title = {Russian MoD claims Skat-350M drones guide Hyacinth artillery},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-19--russian-mod-claims-skat-350m-drones-guide-hyacinth-artillery/}},
  year = {2026},
  note = {Hetzner OSINT finding D4}
}

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