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BloodTrack — agentic threat model

7.7AIVSS 7.7 · High

BloodTrack presents a low-to-moderate agentic risk due to its limited autonomy and tool use, but carries high data privacy risks as it processes and persists highly sensitive personal health information (PHI) for trend tracking.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.62Factor sum 2.5/10Threat ×1.0Mitigation ×0.95
Autonomy of Action
0.20
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.60
Contextual Awareness
0.50
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.40
Opacity & Reflexivity
0.50

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The underlying foundation model is unspecified. The primary threat is model hallucination or misalignment leading to dangerous or incorrect medical/TRT optimization advice, alongside prompt injection bypassing safety guardrails.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent ingests and processes blood test results (PDFs or structured data) and tracks trends. Threats include unauthorized access to sensitive health data (PHI) and potential data poisoning of historical trend databases.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework is undisclosed. Vulnerabilities could arise from insecure parsing of uploaded medical documents (e.g., PDF parser exploits) or insecure state management of user health profiles.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosting and infrastructure details are omitted. Standard cloud hosting threats apply, where a container compromise could expose the database containing users' private medical histories.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No observability or guardrail mechanisms are detailed. There is a risk of silent drift in the accuracy of medical interpretations without dedicated clinical evaluation loops.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — While marketed as 'Privacy-Focused', there is no explicit mention of HIPAA compliance, SOC2, or formal healthcare regulatory alignment, posing compliance and data exposure risks.

L7 · Agent Ecosystem✓ mapped

The agent operates as a standalone horizontal health tracker with no indicated multi-agent coordination or marketplace ecosystem integrations, making ecosystem threats minimal.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).