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pq-cybarg edited this page May 29, 2026
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A reverse-tethering, privacy-chain, and threat-detection app for the Solana Seeker, designed for use at security conferences where the local cellular and Wi-Fi environment can't be trusted.
It does four things:
- Reverse-tether to a laptop so the phone uses the laptop's internet instead of its own cellular modem — over USB-ADB, USB-AOA, Bluetooth-RFCOMM, or LAN-TCP.
- Route traffic through a privacy chain you compose yourself — WireGuard, Mullvad (with post-quantum tunnels and DAITA traffic shaping), NymVPN's Sphinx mixnet, and Tor with its full bridge stack (obfs4, meek, webtunnel, conjure) including the post-quantum NTor handshake when upstream Arti exposes it.
- Detect cellular and Wi-Fi threats on-device — IMSI catchers, evil-twin access points, BLE trackers, app permission drift — and surface them in a Threat tab with a one-tap panic button.
- Lock the device down for the conference via a single toggle that captures a pre-event attestation snapshot, freezes the trusted-app baseline, runs a honeypot, arms an accelerometer tamper-watcher, and exposes a four-button incident-response runbook.
There is also a contributory AI Guard layer for AI-era threats (deepfake calls, prompt-injection text, synthetic-media provenance, OSINT exposure), which runs entirely on-device with no cloud LLM calls under any circumstances.
- New to Tetherand? Read Getting Started and then Verifying Downloads.
- Configuring the privacy chain? Privacy Chain has per-hop walkthroughs.
- Preparing for DEFCON? Hardened Mode covers the one-tap profile and the user-action checklist.
- Building from source? Building from Source
- Curious about the architecture? Architecture.
- Every defense has a deterministic primary mechanism — a clear rule, threshold, or heuristic — that drives any consequential action. Local AI classifiers are advisory only.
- All AI runs on-device. No prompt, classification, or telemetry ever reaches a cloud LLM API under any circumstances.
- No telemetry. Tetherand never phones home. Models update only through whatever privacy chain the user has active.
These three rules are non-negotiable and not configurable through the UI.
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