RadEar: A Self-Supervised RF Backscatter System for Voice Eavesdropping and Separation

2026-03-16T07:23:55Z98109fca319c396709f1dff15ad3bffe6eae300588763e2842924efbd7c3d7bd
6G securityAPI keysCVE-2025-55182ISACRCERF eavesdroppingReact2ShellTCP congestion controlautomated scanningbackscattercovert tagcredential exposuredata-center networksinternet-scale measurementphysical-layer attackprivacyremote code executionresponsible disclosurescanning campaignssecret leakagesemantic communicationsupply-chain/third-party riskvoice surveillanceweb securitywireless security

What happened

This collection of recent arXiv submissions includes multiple items with clear security and privacy implications. Most notable: (1) “RadEar” demonstrates a covert RF backscatter system (batteryless tag + external reader) capable of through-wall voice eavesdropping and separation using energy-efficient dual-resonator modulation and self‑supervised voice-separation models — a practical privacy/physical-layer surveillance threat. (2) An Internet-scale measurement study of React2Shell exploitation documents active post-disclosure exploitation of a critical React Server Components remote code‑exec:

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ni
Record identifier
98109fca319c396709f1dff15ad3bffe6eae300588763e2842924efbd7c3d7bd
Enrichment time
2026-03-16T07:23:55Z
AI-assisted enrichment
Yes

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