Banana Prompt — agentic threat model
Banana Prompt is a low-risk, open-source prompt-sharing gallery with minimal agentic capabilities, presenting standard web application vulnerabilities rather than advanced agentic threats.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 — The platform hosts prompts for image generation models but does not appear to run them directly. Primary threats are limited to users sharing adversarial prompts designed to bypass safety filters on external image generators.
Not certain from the listing — Likely utilizes a standard database to store shared prompts and gallery metadata. Threats include database injection, unauthorized modification of gallery items, or data exfiltration of user-submitted content.
Not certain from the listing — This is a web gallery rather than an active agentic framework. There is no evidence of orchestration, planning, or tool-calling capabilities that could be exploited.
Not certain from the listing — Standard web hosting infrastructure. Threats include typical web application vulnerabilities (e.g., XSS, CSRF) and potential server misconfigurations rather than agent-specific sandbox escapes.
Not certain from the listing — No mention of content moderation, prompt filtering, or observability tools. A lack of guardrails could allow the upload of offensive, copyrighted, or malicious prompt payloads.
Not certain from the listing — No details on user authentication or access controls are provided. Being open-source allows for community code audits, but enterprise-grade compliance controls are likely absent.
Not certain from the listing — The platform operates as a standalone directory and does not interact with other agents or marketplaces, resulting in virtually zero ecosystem-level threat exposure.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).