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EventD4likely · moderate confidenceRU · adversary

Russian drones destroy decoy Su-24Ms at Saki airbase

Bottom line

Russian drones destroyed decoy Su-24Ms at Saki airbase in Crimea, previously damaged by similar strikes and used as EW targets.

Why it matters

The destruction of decoys at Saki indicates that Russian drones are now capable of striking high-value, hardened targets at strategic airbases, potentially reducing the effectiveness of decoy strategies.

Russian drones struck and destroyed decoy Su-24M aircraft at the Saki airbase in Crimea. These decoys had been previously damaged by Ukrainian strikes and were reportedly used as electronic warfare targets. The successful destruction of these decoys by Russian drones suggests an escalation in the drone war at strategic airbases.

Evidence — 1 independent origin

  • Сводки ополчения Новороссии Z.O.V.source Dorigin t.mearchive
    Original text (excerpt)

    Противник продолжает бить дронами по списанным Су-24М , заботливо выставляемым на аэродроме Саки в Крыму для отыгрыша роли ложных целей. На этот раз жертвой вновь стал борт с отсутствующей частью хвостового киля, как уже и происходило ранее. "Военный Осведомитель"

NamedSu-24MSakiTopicsdroneselectronic warfare

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian drones destroy decoy Su-24Ms at Saki airbase. Hetzner OSINT, 7 September 2026. https://robotwar.io/osint-hetzner/2026-09-07--russian-drones-destroy-decoy-su-24ms-at-saki-airbase/

@misc{robotwar-2026-09-07--russian-drones-destroy-decoy-su-24ms-at-saki-airbase,
  title = {Russian drones destroy decoy Su-24Ms at Saki airbase},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-07--russian-drones-destroy-decoy-su-24ms-at-saki-airbase/}},
  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