EventC3likely · moderate confidenceUA · friendly

Ukrainian Drone Forces report 1,857 targets hit in 24h

Bottom line

Ukrainian Drone Forces (SBS) report hitting 1,857 targets in 24 hours, including 193 enemy UAVs and 16 EW sites.

Why it matters

Demonstrates the scale and integration of Ukrainian counter-drone efforts, highlighting the persistent threat to Russian EW assets and UAV launch platforms.

The Ukrainian Drone Forces (SBS) reported hitting 1,857 targets in a single 24-hour period, bringing the total for August to 51,414. Specific targets included 193 enemy UAVs (copter, wing, Shahed, and Gerbera variants), 16 radar and electronic warfare sites, and 36 drone launch points. This data underscores the high tempo of Ukrainian counter-drone operations and the integration of kinetic and electronic effects.

Evidence — 1 independent origin

  • Сили безпілотних систем ЗСУsource Corigin t.me
    Original text (excerpt)

    💥 Протягом доби підрозділами угруповання Сил безпілотних систем уражено/знищено 1857 цілі противника. Серед уражених цілей: 468 одиниці особового складу, з них 219 — ліквідовано; 36 точки вильоту дронів; 16 РЛС, РЕР, РЕБ та засобів зв’язку; 99 одиниць автомобільної техніки; 3 тан

NamedUkrainian Drone ForcesTopicsdroneselectronic warfare

Related findings

History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Ukrainian Drone Forces report 1,857 targets hit in 24h. Hetzner OSINT, 28 August 2026. https://robotwar.io/osint-hetzner/2026-08-28--ukrainian-drone-forces-report-1-857-targets-hit-in-24h/

@misc{robotwar-2026-08-28--ukrainian-drone-forces-report-1-857-targets-hit-in-24h,
  title = {Ukrainian Drone Forces report 1,857 targets hit in 24h},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-08-28--ukrainian-drone-forces-report-1-857-targets-hit-in-24h/}},
  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 2026-08-18.v4 · Corrections · JSON · RSS · API performance