AI Remover — agentic threat model
AI Remover is a single-purpose video processing utility with negligible agentic risk, though it carries standard file-processing security risks such as media parser exploits and data privacy concerns regarding uploaded videos.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.00 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 — likely uses specialized computer vision, GAN, or diffusion-based inpainting models rather than LLMs. Threats include adversarial video inputs designed to cause model evasion or processing failures.
Not certain from the listing — processes user-uploaded video files. Primary threats involve data leakage of sensitive video content and potential exploitation of video parsing libraries (e.g., FFmpeg) during ingestion.
Not certain from the listing — does not appear to use an agentic orchestration framework, operating instead as a deterministic file-processing pipeline. Agentic threats like tool misuse or prompt injection are not applicable.
Not certain from the listing — requires backend GPU/CPU infrastructure to run video reconstruction. Threats include server-side resource exhaustion (DoS) via large video uploads and container escape.
Not certain from the listing — no mention of monitoring, logging, or input/output guardrails. Threats include a lack of abuse detection for processing copyrighted or illicit material.
Not certain from the listing — no details on data retention policies, user authentication, or compliance with privacy regulations (GDPR/CCPA) for uploaded user videos.
Not certain from the listing — operates as a standalone utility with no multi-agent or marketplace integrations, presenting no ecosystem-level threats.
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.