qtara
Threat Analysis & Risk Assessment (TARA) framework for Neural Security.
The qtara package provides programmatic access to the TARA registry (161 techniques), NISS (Neural Impact Scoring System) calculators, physics feasibility tiers, and STIX 2.1 exporters.
Installation
pip install qtara
Features
- TARA Registry: Query 161 verified BCI threat techniques with full enrichment data.
- Physics Feasibility Tiers: Filter techniques by physics feasibility (T0: feasible now, T1: mid-term, T2: far-term, T3: no physics gate).
- NISS Scorer: Calculate neural impact scores based on physics-derived metrics.
- CVSS + Neurorights: Access CVSS 4.0 mappings and neuroright impact data per technique.
- STIX 2.1: Export threat data for industry-standard security tools.
- CLI: Instant access to threat intelligence from the terminal.
Quick Start
from qtara.core import TaraLoader
loader = TaraLoader()
loader.load()
# List all techniques
techniques = loader.list_techniques()
print(f"{len(techniques)} techniques loaded")
# Get a specific technique
t = loader.get_technique("QIF-T0001")
print(t.attack, t.severity, t.physics_feasibility.tier_label)
# Filter by physics tier
tier0 = loader.list_by_physics_tier(0)
print(f"{len(tier0)} techniques feasible now")
# Filter by severity
critical = loader.list_by_severity("critical")
print(f"{len(critical)} critical techniques")
# Get statistics
stats = loader.get_statistics()
print(stats)
CLI Usage
# List all techniques
qtara list
# Filter by physics feasibility tier (0=feasible now, 1=mid-term, 2=far-term, 3=no gate)
qtara list --tier 0
# Filter by severity
qtara list --severity critical
# Filter by neural band
qtara list --band N1
# Get detailed info for a technique
qtara info QIF-T0001
# Show statistics
qtara stats
# Export to STIX 2.1
qtara stix --output threats.json
# Get citation
qtara cite
Physics Feasibility Tiers
Each technique is classified by its physics feasibility:
| Tier | Label | Timeline | Description |
|---|---|---|---|
| T0 | feasible_now | now | Attack is possible with current technology |
| T1 | mid_term | 5-10 years | Requires technology advances expected within a decade |
| T2 | far_term | 10+ years | Requires fundamental breakthroughs |
| T3 | no_physics_gate | n/a | No physics constraint (software/protocol attacks) |
Development
git clone https://github.com/qinnovates/neurosecurity
cd shared/qtara
pip install -e .
License
MIT
Metadata
Release files for qtara 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| qtara-0.3.0.tar.gz | 170.3 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qtara-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 345.4 kB
Release files / qtara-0.3.0.tar.gz
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