IELTS Writing Checker — agentic threat model
The IELTS Writing Checker is a low-risk, single-purpose educational agent that operates primarily as a stateless text analyzer with minimal autonomy or external tool access.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| 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.
Not certain from the listing — relies on an unspecified foundation model to evaluate essays and generate band scores. Vulnerable to prompt injection where a user could manipulate the model to output a perfect score regardless of essay quality.
Not certain from the listing — likely processes user-submitted essays in a stateless manner, but may store submissions for model fine-tuning. Risks include potential exposure of personally identifiable information (PII) if users include sensitive data in their essays.
Not certain from the listing — orchestration appears limited to a simple input-output pipeline (essay submission to feedback generation) with no complex tool-calling or planning frameworks visible.
Not certain from the listing — hosted as a closed-source web application. Standard web application vulnerabilities apply, but the lack of execution environments or system-level tools minimizes infrastructure breakout risks.
Not certain from the listing — requires monitoring to ensure the consistency of band score predictions and to detect drift in evaluation criteria over time, but no specific observability stack is mentioned.
Not certain from the listing — as a freemium educational tool, it likely lacks robust enterprise compliance certifications (e.g., SOC2). Compliance risks are low unless handling student records subject to regional privacy laws.
Not certain from the listing — operates as an isolated, vertical application with no multi-agent coordination or 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.