UAV-Space: Unintended Attack Vector Framework for Space Critical Infrastructure — Extending Space Threat Intelligence to Physical Environment Vectors: Empirical Correlation, Threat Modeling, and NIS2/CRA Compliance

Existing space cybersecurity frameworks (SPARTA, MITRE ATT&CK for Space, ENISA Space Threat Landscape 2025) provide comprehensive coverage of intentional threats. This paper extends them by formally introducing the Unintended Attack Vector (UAV) — a systematically absent risk category produced by the physical space and atmospheric environment. The UAV-Space framework applies adversarial threat modeling methodology to natural physical phenomena (geomagnetic storms, solar energetic particle events, ionospheric scintillation, South Atlantic Anomaly transits), treating them as structured threat actors with quantifiable Indicators of Compromise, advance warning windows, and pre-defined NIS2-compliant operational playbooks. Empirical foundation: cross-correlation of 43,848 hourly NASA OMNI2 geophysical observations with 10 validated macro-anomaly events. Results: storm-condition anomaly rate 18.3x above quiet-sun baseline (Fisher exact p=0.005, chi-squared p<0.0001). The AEGIS-Space v0.4 implementation provides real-time operational intelligence for 312 European satellites. Framework maps to NIS2 Art.21, Art.23, and Cyber Resilience Act Art.13.