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Noiz — agentic threat model

7.0AIVSS 7.0 · High

Noiz is a low-autonomy utility agent focused on YouTube summarization and export. Its primary security risk stems from indirect prompt injection via video transcripts and the potential abuse of its Notion integration.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 0.74Factor sum 2.0/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.30
Persistent Memory
0.10
Contextual Awareness
0.40
Dynamic Identity
0.10
Multi-Agent Interactions
0.00
Non-Determinism
0.50
Opacity & Reflexivity
0.30

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.

L1 · Foundation Models✓ mapped

Uses third-party foundation models (ChatGPT and Claude). The primary threat is indirect prompt injection, where malicious instructions embedded in YouTube transcripts or subtitles manipulate the model's output during summarization.

L2 · Data Operations✓ mapped

Data operations involve ingestion of external YouTube transcripts and subtitles. Threats include data poisoning via manipulated video transcripts designed to trigger parser errors or exfiltrate data.

L3 · Agent Frameworks✓ mapped

The orchestration framework handles transcript fetching, LLM prompting, and exporting to external platforms like Notion. Threats include insecure integration with the Notion API, potentially exposing user integration tokens.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — the deployment architecture, hosting environment, and secrets management for API keys are not disclosed. Standard web application vulnerabilities and token storage risks apply.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no mention of output guardrails, logging, or observability tools to detect prompt injection attempts or anomalous behavior.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — compliance certifications (such as SOC2 or GDPR alignment) and specific authorization controls for the Notion integration are not detailed.

L7 · Agent Ecosystem✓ mapped

The agent operates as a standalone tool without multi-agent collaboration or marketplace interactions, limiting ecosystem-specific threats.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).