Doc2Lang — agentic threat model
Doc2Lang presents low agentic risk due to its limited autonomy and single-step translation workflow, but poses significant data security risks regarding the confidentiality of uploaded documents and potential file-parsing vulnerabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| 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 | 0.30 | |
| 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.
Uses ChatGPT as the foundation model. Primary threats include indirect prompt injection embedded within uploaded documents to manipulate translation outputs, and potential data leakage of sensitive document contents to the model provider.
Processes structured and unstructured document formats (Excel, Word, PPT, PDF). Key threats include parser vulnerabilities (e.g., XML External Entity attacks in Office files, PDF exploit execution) and insecure temporary storage of user-uploaded files.
Not certain from the listing — the orchestration framework is not specified. Threats likely involve insecure file handling pipelines and a lack of input validation before passing extracted text to the translation API.
Not certain from the listing — hosting, sandboxing, and infrastructure details are undisclosed. Threats include a lack of container isolation during document parsing, potentially exposing the host to remote code execution via malicious file uploads.
Not certain from the listing — no monitoring, logging, or translation guardrails are mentioned. Threats include blind spots regarding data exfiltration and a lack of detection for malicious payloads in uploaded or downloaded files.
Not certain from the listing — compliance standards (such as GDPR for document processing) and access controls are not detailed. Threats include unauthorized access to user-uploaded documents and lack of data retention policies.
No multi-agent or marketplace interactions are described; it operates as a standalone translation utility, meaning ecosystem risks are negligible.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).