Describe Image — agentic threat model
Describe Image is a low-risk, user-triggered utility agent focused on visual analysis. Because it lacks autonomous execution, tool-calling, and external integrations, its primary security risks are limited to data privacy (handling of uploaded images/documents) and model-level vulnerabilities like visual prompt injection.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.10 | |
| 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.
Not certain from the listing — The specific vision-language models used are not disclosed, only referred to as 'third-party AI infrastructure'. This introduces risks of adversarial visual prompt injections, model hallucinations, and potential data leakage to the third-party provider.
Processes user-uploaded images, videos, and documents, with optional 30-day retention in 'My Descriptions'. The primary threat is the unauthorized exposure or exfiltration of sensitive data contained within uploaded charts, screenshots, or documents.
The agent operates as a simple single-turn request-response utility without complex orchestration, planning, or tool-calling frameworks. Framework-level threats are minimal due to the lack of agentic loop execution.
Not certain from the listing — Details regarding hosting, sandboxing of media processing, and secure API integration with third-party AI providers are omitted. Standard web application vulnerabilities and insecure transit to third-party APIs represent the main infrastructure threats.
Not certain from the listing — While 'abuse-prevention signals' are mentioned, there is no detail on real-time LLM guardrails, output filtering, or automated drift detection for the visual analysis outputs.
Implements basic security controls including HTTPS/TLS, rate limits, credits, and email-based authentication. However, it lacks formal compliance certifications (e.g., SOC2, HIPAA), and explicitly warns against use in sensitive contexts (medical, legal, public-sector) without human review.
The agent does not participate in any multi-agent ecosystem, marketplace integrations, or autonomous agent-to-agent communications, rendering ecosystem-level threats inapplicable.
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 — every score is re-derived by the same automated method as an agent's public evidence changes.