AI Palm Reader — agentic threat model
The AI Palm Reader is a low-risk, single-purpose utility focused on entertainment and self-reflection, presenting minimal agentic risk due to its lack of external tool execution, multi-step planning, or persistent state.
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 | 0.00 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| 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.
Utilizes a vision-capable foundation model to analyze palm images and generate narrative readings. Primary threats include adversarial image inputs designed to cause model hallucination, jailbreaks, or unexpected output generation.
Processes user-uploaded images of hands. While the listing claims 'private and secure image handling', there is a risk of data leakage or unauthorized retention of sensitive biometric/personal images if backend storage is insecure.
Not certain from the listing — likely uses a simple, non-agentic pipeline that takes an image, extracts features, and runs a single prompt. No complex planning, tool calling, or memory frameworks are described.
Not certain from the listing — deployed as a web/mobile accessible application. Standard web application vulnerabilities apply, including insecure file upload handling of user images which could lead to remote code execution if not sandboxed.
Not certain from the listing — likely lacks advanced agentic observability. Basic logging of image uploads and API latency is expected, but guardrails against generating harmful or overly deterministic medical/psychological advice are critical.
Not certain from the listing — requires compliance with privacy regulations (GDPR/CCPA) regarding biometric data processing (hand images). No formal security certifications or compliance frameworks are cited in the listing.
The agent operates in isolation as a standalone web tool. There are no multi-agent interactions, marketplace dependencies, or external ecosystem integrations described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.