QIF-T0076
mediumHaptic motor body sonar (taptic engine repurposing for tissue impedance profiling)
Tier 5 — Theoretical (Modeled / Simulated)
Legacy status: THEORETICAL
A phone's haptic actuator (e.g., Apple Taptic Engine, linear resonant actuator) is driven at known frequencies (100 Hz - 5 kHz sweep) while in contact with the body. The built-in accelerometer and/or microphone measures the tissue response: acoustic impedance varies by tissue type (bone, muscle, fat, fluid), depth, and composition. This is a simplified form of acoustic impedance spectroscopy or elastography using consumer hardware. The technique requires: (1) physical contact between device and body (phone against skin), (2) firmware-level or jailbreak access to drive the haptic motor at arbitrary frequencies (consumer APIs limit haptic patterns), and (3) raw accelerometer access at high sample rates. Potential extractions: body composition estimation, subcutaneous fluid detection (edema), bone density approximation, tissue stiffness changes. This is significantly lower resolution than clinical ultrasound elastography but could distinguish gross tissue categories. The attack surface is narrow (requires physical contact + firmware access), but wearable devices (Apple Watch, fitness bands) that maintain constant skin contact and contain both haptic motors and accelerometers present an always-on version of this attack.
Technique Details
- Tactic
- QIF-S.HV
- Status
- THEORETICAL
- Bands
- S1, S2
✚ Therapeutic Application
Haptic actuator driven at swept frequencies against body surface; accelerometer measures tissue acoustic impedance response for composition profiling
Clinical Analog
Acoustic impedance spectroscopy for body composition and edema monitoring
Treats
- body composition assessment (fat/muscle ratio)
- edema detection (heart failure monitoring)
- bone density screening
- wound healing monitoring
Neural Impact
2 of 7 neural bands affected
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Scoring
NISS:1.1/BI:N/CR:N/CD:N/CV:E/RV:F/NP:N CVSS:4.0/AV:P/AC:H/AT:P/PR:H/UI:N/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N Governance
Neurorights at Risk
This technique threatens 1 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! CVSS partially captures risk; neural dimensions missing
- ! Threat not yet in regulatory threat catalogs
Population Vulnerability
CRB vulnerability adjustment (γ=0.30) accounts for age, diagnosis severity, consent capacity, and device dependency.
| Population | NISS Base | Adjusted | Severity | Delta |
|---|---|---|---|---|
| Adult (Default) | 1.4 | 1.4 | Low | - |
| Child (10yr) + ADHD | 1.4 | 1.6 | Low | +0.25 |
| Adult with ALS | 1.4 | 1.6 | Low | +0.23 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.