Text Remover — agentic threat model
The Text Remover agent is a low-risk, single-purpose utility with zero autonomy, acting strictly under human-in-the-loop control. Its primary security risks are traditional application security concerns, such as insecure video file processing and data privacy of uploaded media, rather than agentic threats.
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 | 0.10 | |
| 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 — The underlying vision or diffusion-based inpainting models are unspecified. Potential threats include adversarial video inputs designed to cause model evasion or resource exhaustion during processing.
Not certain from the listing — The data retention, caching, and purging policies for uploaded user videos are not detailed. The main threat is unauthorized access to or leakage of sensitive user-submitted footage.
The agent operates as a simple single-turn utility without complex orchestration, planning, or tool-calling frameworks. Framework-level threats are virtually non-existent.
Not certain from the listing — The hosting and sandboxing architecture is unknown. The primary threat is remote code execution (RCE) via exploits in media processing libraries (e.g., FFmpeg) when parsing malformed video files.
Not certain from the listing — There is no mention of input validation, file-type verification, or output guardrails to detect malicious payloads or inappropriate video content.
Not certain from the listing — Compliance controls, data privacy policies regarding user-submitted video data (such as biometric or PII exposure in footage), and access controls are not specified.
The agent does not interact with other agents, external APIs, or marketplaces, resulting in zero ecosystem-level threat exposure.
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.