Video2Text — agentic threat model
Video2Text is a low-risk, utility-focused transcription tool with minimal agentic capabilities, where the primary security risks center around secure file handling, data privacy of uploaded media, and potential model-level exploits.
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 | 0.30 | |
| 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 an ASR model (like Whisper) or LLM for post-processing. Threats include adversarial audio inputs causing transcription bypass or prompt injection if LLMs are used for summarization.
Not certain from the listing — handles user-uploaded audio/video files. Threats include data leakage of sensitive recordings, insecure storage of temporary media files, and lack of data retention policies.
Not certain from the listing — likely a simple pipeline rather than a complex agent framework. Threats include insecure file parsing (e.g., FFmpeg exploits) during the ingestion phase.
Not certain from the listing — as an open-source/freemium tool, deployment could range from local hosting to cloud. Threats include container escape via malicious media files or unauthorized access to the hosting server.
Not certain from the listing — no mention of evaluation or observability. Gaps include lack of monitoring for malicious file uploads or transcription abuse.
Not certain from the listing — no compliance certifications (like SOC2 or GDPR) are mentioned. Risks include processing PII in audio files without proper compliance guardrails.
No multi-agent or ecosystem interactions are described; the tool operates as a standalone horizontal utility, minimizing ecosystem-level threats.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).