← HappyHorse AI Video Generator
HappyHorse AI Video Generator — agentic threat model
HappyHorse is a low-autonomy generative AI video tool with minimal agentic risk, primarily exposed to content abuse (deepfakes, copyright infringement) and resource exhaustion rather than systemic orchestration or tool-use vulnerabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.80 |
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.
Uses text-to-video and image-to-video foundation models. Vulnerable to adversarial prompt injection (jailbreaks to generate NSFW, deepfakes, or copyrighted content), model stealing, and output misalignment.
Not certain from the listing — likely processes user-uploaded images and text prompts. Vulnerable to data poisoning if user inputs are used for fine-tuning, and potential data exfiltration of proprietary images.
Not certain from the listing — the agent orchestration layer appears minimal, likely limited to simple prompt parsing and pipeline execution. Vulnerabilities would stem from insecure pipeline integration or prompt parsing rather than complex tool misuse.
Not certain from the listing — requires heavy GPU infrastructure for video rendering. Vulnerabilities include resource exhaustion (DoS) via expensive rendering requests and potential container escape if self-hosted/open-source.
Not certain from the listing — requires content moderation guardrails to prevent generation of deepfakes, CSAM, or violent content. Lack of observability could lead to undetected abuse.
Not certain from the listing — needs robust authentication, rate limiting, and copyright compliance mechanisms. Open-source deployment requires self-managed security controls.
Not certain from the listing — no multi-agent or marketplace interactions are described. Risks are limited to horizontal integration with content platforms.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).