GPT Migrate — agentic threat model
GPT Migrate presents a high agentic risk due to its deep access to local codebases and the necessity of writing and potentially executing code during migration, which could lead to arbitrary code execution or supply chain vulnerabilities if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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.
Relies on LLMs for code translation and architectural mapping. Threats include prompt injection via malicious source code comments, leading to the generation of backdoored or vulnerable target code.
Ingests entire codebases as input. Threats include data exfiltration of proprietary source code if the agent communicates with external LLM APIs, and poisoning of the migration context via malicious input files.
Orchestrates multi-file code generation and dependency resolution. Threats include insecure tool integration if the framework automatically runs build commands, linters, or test suites on untrusted generated code.
Not certain from the listing — the deployment environment is not specified, but as an open-source tool, it likely runs on the user's local machine or CI/CD pipeline, posing high host compromise risks if unsandboxed.
Not certain from the listing — there is no mention of built-in evaluation, logging, or guardrails to verify the safety or correctness of the migrated code before it is written to disk.
Not certain from the listing — no security controls, compliance certifications, or licensing checks (to prevent IP contamination during migration) are mentioned.
Not certain from the listing — no multi-agent coordination or marketplace interactions are described, suggesting it operates as a standalone utility.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).