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QIF-T0095

critical

Acoustic-to-neural profiling pipeline (consumer earbud escalation from audio to cognitive exploitation)

Tier 4 — Demonstrated (Case Study / Observational)

Legacy status: EMERGING

This technique documents the complete escalation chain from a single compromised consumer earbud to cognitive profiling. The chain proceeds: (1) T0072 — Speaker-to-mic reprogramming gives ambient audio eavesdropping, (2) T0079 — Ear canal acoustic fingerprinting silently identifies the wearer, (3) T0073 — Modified earbud with conductive ear tip captures in-ear EEG, (4) T0074 — Longitudinal EEG data feeds ML model for cognitive profiling. The end state: a single pair of compromised earbuds provides identity + ambient audio + continuous neural telemetry + personalized cognitive vulnerability profile — all from a device the target voluntarily wears for hours daily. Each step in the chain has been independently demonstrated or is emerging. The complete chain represents a consumer-device pathway to cognitive exploitation without any traditional BCI hardware. This is the canonical example of why the S-domain exists: consumer sensors as a pre-BCI attack surface.

Technique Details

Tactic
QIF-S.CH
Status
EMERGING
Bands
S1, S2, S3, I0, N1, N7

Therapeutic Application

Multi-stage escalation chain: speaker repurposing → ear canal fingerprinting → in-ear EEG capture → ML-based cognitive profiling, all from a single compromised consumer earbud

Clinical Analog

Integrated hearing health + cognitive monitoring earbuds

Treats

  • hearing aid with cognitive load monitoring
  • seizure detection + audio therapy delivery
  • neurofeedback training via earbuds

Neural Impact

6 of 7 neural bands affected

S1 S2 S3 I0 N1 N7

Drag to rotate. Click a region to learn more.

Click or hover over a glowing region to see the attack techniques targeting it and their severity.

DSM-5-TR Diagnostic Mappings

Diagnostic category references for threat modeling, not diagnostic claims.

F43.2 Adjustment Disorder F45 Somatoform disorders F44.4 Conversion Disorder F20 Schizophrenia Spectrum F32 Major Depressive Disorder F90 ADHD F42 OCD F82 Developmental Coordination Disorder F30 Manic episode F43 PTSD / Trauma F80 Communication Disorders F60 Personality Disorders F63 Impulse-Control Disorders F01 Vascular dementia F98.4 Stereotyped movement disorders

Pathway: N7 (PFC/M1) → executive function; I0 (electrode-tissue boundary) → measurement

Following Poldrack (2006), brain region disruption does not uniquely predict psychiatric outcomes.

Scoring

NISS v1.1 NISS:1.1/BI:N/CR:H/CD:H/CV:I/RV:F/NP:T
CVSS v4.0 CVSS:4.0/AV:P/AC:L/AT:P/PR:N/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/SA:N
4.0Medium
BICRCDCVRVNP
 

Governance

Neurorights at Risk

This technique threatens 5 of the 4 proposed neurorights (Ienca & Andorno, 2017).

Consent Complexity
1.80 / 4.0

FDORA §3305 Compliance

Cyber Device
Regulatory Coverage
0.2 / 1.0
524B Requirements
TM VA SA PM
Regulatory Gaps
  • ! CVSS cannot express neural-specific impacts
  • ! No FDA pathway for consumer sensor exploitation

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) 4.0 4.0 Medium -
Child (10yr) + ADHD 4.0 4.7 Medium +0.71
Adult with ALS 4.0 4.6 Medium +0.64

Validation Status

Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.

Qinnovate Neural Security Atlas Edit this on GitHub