qtara

Deprecated. qtara is no longer maintained. 0.4.0 (2026-10-17) is the final release, and its bundled registry will not be updated.

Use the public data instead, which stays current:

• STIX 2.1 bundle: https://qinnovate.com/api/stix.json
• Full registry as JSON: https://qinnovate.com/api/tara.json
• Source of truth: datalake/qtara-registrar.json

Why: almost no one installs the package, and every registry change had to be mirrored in it. TARA, NISS and QIF are a proposed framework that has not been independently validated; the package will be reconsidered if outside users ask for a Python client.

Threat Analysis & Risk Assessment (TARA) framework for Neural Security.

The qtara package provides programmatic access to a snapshot of the TARA registry (176 techniques as of 0.4.0), NISS (Neural Impact Scoring System) scores, physics feasibility tiers, and STIX 2.1 export.

Installation

pip install qtara

Features

• TARA Registry: Query a snapshot of 176 proposed BCI threat techniques with enrichment data. Most are theoretical; check each technique's evidence tier.
• 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:

Development

git clone https://github.com/qinnovates/neurosecurity
cd neurosecurity/datalake/qtara
pip install -e .

License

Apache-2.0