CapabilityB3likely · high confidenceUA · friendly

PWNSAT releases open-source satellite testbed highlighting vulnerabilities

Bottom line

PWNSAT released an open-source educational satellite testbed based on RP2040 and LoRa, highlighting vulnerabilities in standard CCSDS/SPP protocols and commercial space hardware.

Why it matters

Provides a platform for testing security flaws in satellite communications, potentially aiding adversaries in exploiting vulnerabilities in commercial and military satellite systems.

PWNSAT released an open-source educational satellite testbed based on RP2040 and LoRa, following a DEF CON 34 talk. The project highlights vulnerabilities in standard CCSDS/SPP protocols and commercial space hardware, providing a platform for testing security flaws in satellite communications and control systems.

Evidence — 1 independent origin

Victory Dronessource Borigin15 Aug 2026 t.me

Original text (excerpt)

PWNSAT открыл исходники учебного спутникового стенда после доклада на DEF CON 34 На DEF CON 34 Ромел Марин (r0r0x, сооснователь проекта PWNSAT ) выступил с докладом « Lowering the Orbit » и выложил в открытый доступ учебную платформу, которая целиком повторяет связку «спутник - р

NamedPWNSATFlatSat v1.0PWNCUBERP2040LoRaCCSDSTopicscomponents osint

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History · version 1 · first published 15 Aug 2026 · last substantive update 16 Aug 2026

Cite this finding

Robot War (2026). PWNSAT releases open-source satellite testbed highlighting vulnerabilities. Hetzner OSINT, 15 August 2026. https://robotwar.io/osint-hetzner/2026-08-15--pwnsat-releases-open-source-satellite-testbed-highlighting-vulnerabili/

@misc{robotwar-2026-08-15--pwnsat-releases-open-source-satellite-testbed-highlighting-vulnerabili,
  title = {PWNSAT releases open-source satellite testbed highlighting vulnerabilities},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-08-15--pwnsat-releases-open-source-satellite-testbed-highlighting-vulnerabili/}},
  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