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Same.dev — agentic threat model

8.4AIVSS 8.4 · High

Same.dev is an open-source website builder agent operating via chat, presenting moderate-to-high risk due to its ability to generate and potentially execute code, which could lead to arbitrary code execution or supply chain injection if compromised.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.95Factor sum 3.8/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.40
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.60
Persistent Memory
0.30
Contextual Awareness
0.40
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.70
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 specific foundation models used for chat and code generation are not disclosed. Standard LLM risks like prompt injection, model alignment issues, and generating insecure code apply.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — Data operations, training data, and RAG pipelines for code templates are unspecified. Risks include training data poisoning or exposure of proprietary code templates.

L3 · Agent Frameworks✓ mapped

The agent framework orchestrates chat inputs to generate website code. The primary threat is tool misuse or insecure tool integration, where malicious chat prompts could trick the agent into writing backdoors or executing arbitrary system commands.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The deployment environment (local vs. cloud hosting) and sandboxing mechanisms for executing or previewing generated code are not detailed, posing risks of host compromise if unsandboxed.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of built-in guardrails, code scanning, or observability tools to detect and block the generation of malicious or vulnerable code.

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

Not certain from the listing — Being open-source, security controls depend heavily on the user's deployment. No specific compliance certifications or identity/access management policies are detailed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — It is unclear if the agent interacts with external multi-agent ecosystems or third-party API marketplaces, though it likely interacts with external web deployment APIs.

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. Are you the vendor? Factual corrections are free.