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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 Borigin 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 v1.0PWNCUBERP2040LoRaCCSDSTopicscomponentsosint

Related findings

← Latest findings · All findings from August 2026

History · version 1 · first published · last substantive update

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 2026-10-15.v6 · Corrections · JSON · RSS · API performance