Manga Translator — agentic threat model
The Manga Translator is a low-risk, single-purpose utility with minimal autonomy, executing a static image-to-image translation workflow under direct human supervision.
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 | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| 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 — the specific OCR and translation models are not disclosed. Potential threats include adversarial image perturbations that cause translation bypass or offensive output generation.
Not certain from the listing — the data retention policy for uploaded manga images is unspecified. Threats include unauthorized access to user-uploaded images or temporary storage leaks.
Not certain from the listing — the orchestration framework is not detailed. However, because there is no dynamic tool use or complex planning, framework-level threats like prompt injection leading to tool abuse are minimal.
Not certain from the listing — hosting and sandboxing details are omitted. The primary infrastructure threat is remote code execution via image parsing vulnerabilities in OCR or image processing libraries.
Not certain from the listing — no monitoring or guardrail mechanisms are described. The system relies entirely on the user to manually compare the original and translated images to detect translation errors.
Not certain from the listing — identity, access controls, and compliance standards (such as copyright/IP protection for uploaded manga) are not defined.
The agent operates as a standalone utility with no multi-agent interactions or marketplace integrations described, resulting in zero ecosystem-level threat exposure.
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.