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GPT Migrate — agentic threat model

7.8AIVSS 7.8 · High

GPT Migrate presents a high agentic risk due to its ability to execute arbitrary code, manage dependencies, and run tests within a Docker environment. While Docker provides some isolation, the potential for prompt injection to introduce silent backdoors into migrated codebases or execute malicious commands remains a significant concern.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.4AARS uplift 0.72Factor sum 4.5/10Threat ×1.0Mitigation ×0.85
Autonomy of Action
0.80
Goal-Driven Planning
0.80
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.30
Contextual Awareness
0.50
Dynamic Identity
0.10
Multi-Agent Interactions
0.00
Non-Determinism
0.60
Opacity & Reflexivity
0.50

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The listing mentions 'advanced AI capabilities' and 'AI-powered code analysis' but does not specify the exact underlying LLM. Threats include adversarial prompt injection leading to malicious code generation or indirect prompt injection via the source codebase.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent ingests entire codebases for migration, but details on vector stores or RAG data operations are not specified. Threats include exposure of proprietary source code or ingestion of poisoned codebases.

L3 · Agent Frameworks✓ mapped

The orchestration framework manages iterative debugging, dependency management, and unit test generation. Threats include insecure tool integration where the agent executes arbitrary commands during debugging or dependency installation.

L4 · Deployment & Infrastructure✓ mapped

The listing explicitly mentions 'Docker integration to ensure a consistent migration environment.' This indicates sandboxing is used, but threats include container escape, privilege escalation, or host compromise if Docker is misconfigured.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No specific monitoring, logging, or guardrails are mentioned in the listing. Gaps in observability could lead to undetected malicious code injection during migration.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — No mention of identity, authorization, policy enforcement, or regulatory compliance controls.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The tool operates as a standalone open-source CLI/application; there is no mention of multi-agent coordination or marketplace interactions.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).