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QIF-T0047

critical

Mass BCI compromise (platform attack)

Tier 4 — Demonstrated (Case Study / Observational)

Legacy status: EMERGING

Coordinated attack exploiting standardized BCI platforms affecting millions simultaneously. Yale Digital Ethics Center worst-case scenario. Monoculture risk: one vulnerability, all devices.

Technique Details

Tactic
QIF-P.DS
Status
EMERGING
Bands
S2, S3

Therapeutic Application

Simultaneous compromise of many BCI devices via shared platform vulnerability

Neural Impact

2 of 7 neural bands affected

S2 S3

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

Scoring

NISS v1.1 NISS:1.1/BI:H/CR:H/CD:H/CV:E/RV:P/NP:T
CVSS v4.0 CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:H/VA:H/SC:L/SI:H/SA:H
6.1Medium
PINSPINS triggers when Biological Impact is High/Critical or Reversibility is Irreversible. Indicates potential lasting harm to neural safety.
BICRCDCVRVNP
 

Governance

Neurorights at Risk

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

Consent Complexity
1.20 / 4.0

FDORA §3305 Compliance

Cyber Device
Regulatory Coverage
0.5 / 1.0
524B Requirements
TM VA SBOM PM
Regulatory Gaps
  • ! CVSS cannot express neural-specific impacts
  • ! Software-only attack without software lifecycle standard (IEC 62304)

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) 6.1 6.1 Medium -
Child (10yr) + ADHD 6.1 7.2 High +1.08
Adult with ALS 6.1 7.1 High +0.98

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