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QIF-T0076

medium

Haptic 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

S1 S2

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Scoring

NISS v1.1 NISS:1.1/BI:N/CR:N/CD:N/CV:E/RV:F/NP:N
CVSS v4.0 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
1.4Low
BICRCDCVRVNP
 

Governance

Neurorights at Risk

This technique threatens 1 of the 4 proposed neurorights (Ienca & Andorno, 2017).

Consent Complexity
0.20 / 4.0

FDORA §3305 Compliance

Cyber Device
Regulatory Coverage
0.7 / 1.0
524B Requirements
TM VA SBOM PM
Regulatory Gaps
  • ! 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.

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