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Lugetim — agentic threat model

6.3AIVSS 6.3 · Medium

Lugetim is a low-risk educational AI assistant primarily focused on dictionary generation, with its main security vector residing in the Chrome extension's access to user browsing data and potential data exfiltration risks.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.5AARS uplift 0.76Factor sum 1.7/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.30
Contextual Awareness
0.30
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.40
Opacity & Reflexivity
0.20

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 — likely relies on third-party LLMs for word generation and translation. Vulnerable to prompt injection affecting translation accuracy or generating inappropriate content.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — stores user-defined dictionaries and generated notes. Risks include data poisoning of dictionary databases or unauthorized access to user-curated vocabulary lists.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestration is likely simple API calls for text generation rather than a complex agentic framework. Main risk is insecure integration with the Chrome extension.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted as a web application with a Chrome extension. Risks include extension-level vulnerabilities allowing cross-site scripting (XSS) or unauthorized data access to browsed pages.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of guardrails or output monitoring. Risks include generation of offensive or inaccurate translations without detection.

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

Not certain from the listing — closed-source, freemium model with no explicit compliance certifications (e.g., GDPR, COPPA) mentioned, which is critical for educational tools.

L7 · Agent Ecosystem✓ mapped

No multi-agent or marketplace interactions are described in the listing; the tool operates as a standalone dictionary assistant.

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