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CapabilityB3likely · low confidenceRU · adversary

Russian 'Yastreb' EW system targets specific drone frequencies

Bottom line

The Russian 'Yastreb' EW system is designed to scan the full spectrum and target specific frequencies simultaneously, weighing ~3kg and consuming 300W for efficient jamming.

Why it matters

Indicates a move toward lightweight, power-efficient, and precise electronic warfare systems capable of countering specific drone frequencies without broad-spectrum jamming.

The Russian ‘Yastreb’ electronic warfare system is designed to scan the full spectrum and target specific frequencies simultaneously. Weighing approximately 3kg and consuming 300W, it claims effective jamming of drone controls while meeting ideal specifications for weight and power efficiency.

Evidence — 1 independent origin

  • Русский инженер (Russian Engineer)source Borigin t.me
    Original text (excerpt)

    Ястреб в работе. Видим всё, тушим почти всё. Отладка в процессе. РЭБ, который одновременно сканирует всю полосу и работает прицельно в частоту. Малый вес, потребление в 300вт. Шутка про требование министерства: весит 3кг, тушит всю управу, помещается в кармане, стоит три рубля -

Topicselectronic warfaredrones

Related findings

History · version 1 · first published · last substantive update

Cite this finding 
Robot War (2026). Russian 'Yastreb' EW system targets specific drone frequencies. Hetzner OSINT, 14 August 2026. https://robotwar.io/osint-hetzner/2026-08-14--russian-yastreb-ew-system-targets-specific-drone-frequencies/

@misc{robotwar-2026-08-14--russian-yastreb-ew-system-targets-specific-drone-frequencies,
  title = {Russian 'Yastreb' EW system targets specific drone frequencies},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-08-14--russian-yastreb-ew-system-targets-specific-drone-frequencies/}},
  year = {2026},
  note = {Hetzner OSINT finding B3}
}

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 2026-08-18.v4 · Corrections · JSON · RSS · API performance