QIF-T0053
highCognitive state capture
Tier 2 — Validated (Independently Replicated)
Legacy status: CONFIRMED
Record patterns that reveal attention, emotion, fatigue, or other cognitive states without user awareness. Consumer BCI apps routinely over-collect. Attention-tracking in workplace BCIs.
Technique Details
- Tactic
- QIF-D.HV
- Status
- CONFIRMED
- Bands
- N6, N7
✚ Therapeutic Application
Real-time capture and classification of cognitive states (attention, emotion, fatigue, deception) from BCI signals
Clinical Analog
Brain-state dependent therapy timing
Treats
- attention training (ADHD)
- meditation guidance
- anesthesia depth monitoring
- fatigue detection
Neural Impact
2 of 7 neural bands affected
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.
Pathway: N7 (PFC/M1) → executive function; N6 (hippocampus/amygdala) → emotion regulation
Following Poldrack (2006), brain region disruption does not uniquely predict psychiatric outcomes.
Scoring
NISS:1.1/BI:N/CR:H/CD:H/CV:E/RV:F/NP:N CVSS:4.0/AV:A/AC:L/AT:P/PR:L/UI:N/VC:H/VI:N/VA:N/SC:H/SI:N/SA:N Governance
Neurorights at Risk
This technique threatens 5 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! CVSS cannot express neural-specific impacts
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) | 2.7 | 2.7 | Low | - |
| Child (10yr) + ADHD | 2.7 | 3.2 | Low | +0.48 |
| Adult with ALS | 2.7 | 3.1 | Low | +0.44 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.