Charts Not Chapters — agentic threat model
Charts Not Chapters is a low-autonomy, utility-focused agent whose primary security risks stem from parsing untrusted user data (CSV/Excel) and dynamically generating visual outputs from scratch, which could be exploited via prompt injection or malicious file uploads if not properly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.40 |
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 — uses the 'newest LLM model' but does not specify the provider. Vulnerable to prompt injection that could manipulate the style, content, or structure of the generated infographics, or cause the model to output inappropriate content.
Accepts text, CSV, and Excel data imports. This introduces significant risks of data poisoning, CSV injection, or malicious spreadsheet formulas that could exploit the underlying parser or compromise the session of the user viewing the generated chart.
Not certain from the listing — orchestration details are proprietary. If the agent translates natural language chat commands into code (e.g., Python/matplotlib or JavaScript/D3) to render the infographics dynamically, there is a high risk of insecure tool execution or code injection.
Not certain from the listing — hosting and sandboxing details are undisclosed. If the server-side rendering engine processes user-uploaded files or executes generated code without strict container isolation, it could lead to remote code execution (RCE) or server-side request forgery (SSRF).
Not certain from the listing — no mention of guardrails, output validation, or logging. Gaps in observability could allow users to generate and export brand-damaging, offensive, or misleading infographics without detection.
Not certain from the listing — closed-source, freemium tool with no stated compliance certifications (e.g., SOC2, GDPR) or explicit data retention policies regarding uploaded proprietary business spreadsheets.
No multi-agent or marketplace interactions are described. The tool operates as a standalone single-agent utility, minimizing ecosystem-level cascading risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).