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CapabilityD4unlikely · low confidenceRU · adversary

Russian MoD claims Molniya-2 EW destroys Ukrainian drone C2

Bottom line

Russian MoD claims the Molniya-2 EW system destroyed Ukrainian drone command posts in the Sumy region.

Why it matters

If accurate, this demonstrates the continued effectiveness of Russian EW systems like Molniya-2 in degrading Ukrainian drone command and control capabilities, emphasizing the critical role of EW in the current conflict.

The Russian Ministry of Defense claimed that the Molniya-2 electronic warfare system, operated by the 44th Army Corps, successfully destroyed Ukrainian drone command posts and personnel in the Sumy region. This claim is part of a broader set of Russian reports highlighting the use of EW systems to disrupt Ukrainian drone operations, including the destruction of antennas and C2 nodes.

Evidence — 1 independent origin

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

    ⚡️ Берегитесь «Молнии». Бьет только чужих. Расчет «Молнии-2» 44-го армейского корпуса группировки «Север» уничтожил вражеские пункты управления беспилотниками и находившийся там личный состав. 📍 Сумская область #ВойскаБПС 🔹 Канал Минобороны России в MAКС – боевая работа 24/7

NamedMolniya-2Topicselectronic warfaredronesrussia

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian MoD claims Molniya-2 EW destroys Ukrainian drone C2. Hetzner OSINT, 11 October 2026. https://robotwar.io/osint-hetzner/2026-10-11--russian-mod-claims-molniya-2-ew-destroys-ukrainian-drone-c2/

@misc{robotwar-2026-10-11--russian-mod-claims-molniya-2-ew-destroys-ukrainian-drone-c2,
  title = {Russian MoD claims Molniya-2 EW destroys Ukrainian drone C2},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-11--russian-mod-claims-molniya-2-ew-destroys-ukrainian-drone-c2/}},
  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