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Airtop — agentic threat model

6.9AIVSS 6.9 · Medium

This agent presents a moderate-to-high risk profile due to its handling of sensitive local documents (RAG) and external API integrations (Gemini), balanced by built-in security controls like API-key permissions, rate limiting, and audit logging.

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 ×0.85
Autonomy of Action
0.30
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.30
Contextual Awareness
0.40
Dynamic Identity
0.10
Multi-Agent Interactions
0.00
Non-Determinism
0.40
Opacity & Reflexivity
0.30

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✓ mapped

Integrates with Google Gemini via GEMINI_API_KEY. Primary threats include prompt injection leading to unauthorized document retrieval, model reprogramming, or exposure of the API key.

L2 · Data Operations✓ mapped

Supports multi-format ingestion (PDF, DOCX, TXT, MD) into a local store, Redis, or Postgres/pgvector. Risks include data poisoning via malicious document ingestion and unauthorized data exfiltration of sensitive documents.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The specific orchestration framework or agentic planning logic is not detailed, making it difficult to assess vulnerabilities related to tool misuse or memory poisoning.

L4 · Deployment & Infrastructure✓ mapped

Self-hosted via Docker or Python, with optional Redis and Postgres/pgvector. Risks include container escape, insecure local hosting configurations, and unauthorized access to database ports.

L5 · Evaluation & Observability✓ mapped

Includes audit logging and an admin dashboard. Risks include blind spots in detecting prompt injections or anomalous search queries if logging does not capture raw LLM inputs/outputs.

L6 · Security & Compliance (cross-cutting)✓ mapped

Provides API-key authentication with permissions, rate limiting, and audit logging. Risks include weak API key management or privilege escalation within the admin dashboard.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — There is no mention of multi-agent coordination, marketplace integrations, or agent-to-agent communication protocols.

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