text-remover — agentic threat model
The text-remover agent is a low-risk, single-purpose utility with minimal agentic capabilities, primarily posing traditional web application and media-processing security risks (such as data privacy of uploaded videos and infrastructure vulnerabilities) rather than complex agentic threats.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| 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 — likely uses specialized computer vision models (e.g., CNNs, GANs, or diffusion-based inpainting) rather than LLMs. Primary threats include adversarial video inputs designed to cause processing failures, and model stealing of proprietary inpainting weights.
Not certain from the listing — requires video upload, processing, and temporary storage. Key threats include unauthorized access to user-uploaded videos, data leakage, and lack of secure data retention/deletion policies for processed media.
Not certain from the listing — likely does not use an agentic orchestration framework, relying instead on a static media processing pipeline. Threats are minimal, primarily involving insecure command execution if wrapping CLI tools like FFmpeg.
Not certain from the listing — hosted as an online web application. Major threats include server-side resource exhaustion (DoS) via large video uploads, and remote code execution (RCE) via vulnerabilities in video decoding libraries.
Not certain from the listing — no mention of monitoring or guardrails. Gaps include a lack of automated detection for abusive, illegal, or copyrighted video uploads, and vulnerability to automated scraping/abuse of the freemium tier.
Not certain from the listing — closed source and freemium model. Threats include potential GDPR/CCPA compliance gaps regarding the processing and storage of personally identifiable information (PII) contained within uploaded videos.
This is a standalone vertical utility tool with no multi-agent or ecosystem integrations described. Threats of cascading agent failures or agent-to-agent trust abuse are not applicable.
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.