CapabilityB3likely · moderate confidenceUA · friendly

Belarusian Klon radar detects stealth drones in Grodno

Bottom line

The Belarusian Klon radar successfully detected stealth drones in Grodno, integrating with EW and air defense systems to neutralize FPV-1/FPV-2 drones penetrating deep rear areas.

Why it matters

The successful detection of stealth drones by Belarusian systems suggests that current NATO stealth drone designs may be vulnerable to specific radar frequencies or configurations, and highlights the role of Belarus in regional air defense.

Victory Drones reported that the Belarusian Klon radar successfully detected stealth drones in the Grodno region. The system integrates with electronic warfare and air defense networks to neutralize FPV-1 and FPV-2 drones that have penetrated deep into rear areas. This highlights the effectiveness of Belarusian radar systems in countering low-observable drone threats.

Evidence — 1 independent origin

  • Victory Dronessource Borigin t.me
    Original text (excerpt)

    🤔 РЛС «Клён» подтвердила эффективность обнаружения малозаметных БПЛА Радиолокационная станция ближней разведки «Клён» производства ОАО «АЛЕВКУРП» подтвердила заявленные характеристики на тактико-специальном учении в Гродненской области, обнаруживая наземные и воздушные цели, вклю

NamedKlonALEVKURPRodnik-3DFPV-1FPV-2Topicselectronic warfaredronesnato region

Related findings

History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Belarusian Klon radar detects stealth drones in Grodno. Hetzner OSINT, 21 August 2026. https://robotwar.io/osint-hetzner/2026-08-21--belarusian-klon-radar-detects-stealth-drones-in-grodno/

@misc{robotwar-2026-08-21--belarusian-klon-radar-detects-stealth-drones-in-grodno,
  title = {Belarusian Klon radar detects stealth drones in Grodno},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-08-21--belarusian-klon-radar-detects-stealth-drones-in-grodno/}},
  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