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EventC3likely · low confidenceRU · adversary

Russian 5th Tank Brigade captures Nezhenka with heavy drone losses

Bottom line

Russian 5th Tank Brigade claims capture of Nezhenka, reporting destruction of 12 ground robotic complexes and over 50 Baba-Yaga hexacopters.

Why it matters

The high number of destroyed robotic complexes and hexacopters indicates significant Ukrainian reliance on these systems for defense and the effectiveness of Russian counter-drone tactics in this sector.

Russian milbloggers report that the 5th Tank Brigade captured the settlement of Nezhenka in the Zaporizhzhia region. In the engagement, Russian forces claimed to have destroyed 12 Ukrainian ground robotic complexes and over 50 Baba-Yaga hexacopters, alongside 7 BTRs and 14 vehicles. This highlights the intense drone and robotic warfare occurring during frontline assaults.

Evidence — 1 independent origin

  • Воин DVsource Corigin t.mearchive
    Original text (excerpt)

    ❗️ ПОДРАЗДЕЛЕНИЯ ГРУППИРОВКИ ВОЙСК "ВОСТОК" ОСВОБОДИЛИ НАСЕЛЁННЫЙ ПУНКТ НЕЖЕНКА 🔸 Гвардейцы 5 отдельной танковой бригады 36 общевойсковой армии группировки войск "Восток " продолжили наступательные действия и взяли под контроль н.п. Неженка Запорожской области. 🔸 В ходе напряжённ

NamedBaba-YagaTopicsground dronesfpv dronesrussia

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian 5th Tank Brigade captures Nezhenka with heavy drone losses. Hetzner OSINT, 26 August 2026. https://robotwar.io/osint-hetzner/2026-08-26--russian-5th-tank-brigade-captures-nezhenka-with-heavy-drone-losses/

@misc{robotwar-2026-08-26--russian-5th-tank-brigade-captures-nezhenka-with-heavy-drone-losses,
  title = {Russian 5th Tank Brigade captures Nezhenka with heavy drone losses},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-08-26--russian-5th-tank-brigade-captures-nezhenka-with-heavy-drone-losses/}},
  year = {2026},
  note = {Hetzner OSINT finding C3}
}

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