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HEICPDF.TO — agentic threat model

3.8AIVSS 3.8 · Low

HEICPDF.TO is a static, client-side file conversion utility with zero agentic capabilities, presenting minimal AI-specific risk; its primary security considerations are standard web vulnerabilities and OAuth token handling for cloud integrations.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 0.03Factor sum 0.1/10Threat ×0.9Mitigation ×0.6
Autonomy of Action
0.00
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.00
Contextual Awareness
0.00
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.00
Opacity & Reflexivity
0.00

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 tool does not appear to use any foundation models or LLMs, as it is a deterministic HEIC-to-PDF converter.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — No training data, RAG, or vector stores are used. Files are processed locally in the browser, minimizing data exfiltration risks.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — There is no agent orchestration framework, planning, or LLM tool-calling.

L4 · Deployment & Infrastructure✓ mapped

The tool runs entirely in the user's browser (client-side). Infrastructure threats are limited to web-based attacks like XSS or malicious dependency injection in the frontend code.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No AI-specific evaluation, guardrails, or drift monitoring are present or required due to the deterministic nature of the tool.

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

Privacy-centric design with local processing and no registration. However, integration with Dropbox and Google Drive introduces risks related to OAuth token handling and API security.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The tool does not interact with any AI agent ecosystems or marketplaces.

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

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.