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GenFreeAI — agentic threat model

5.4AIVSS 5.4 · Medium

GenFreeAI is a directory of free AI tools rather than an active agentic system, presenting negligible agentic risk. Its primary security concerns are traditional web application vulnerabilities, such as hosting malicious links or directory defacement.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.3AARS uplift 0.08Factor sum 0.2/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.00
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.00
Persistent Memory
0.00
Contextual Awareness
0.00
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.10
Opacity & Reflexivity
0.10

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 — GenFreeAI is described as a directory of free AI tools rather than an LLM-powered agent itself, so foundation model vulnerabilities (like adversarial prompt injection or model stealing) are likely not directly applicable.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform curates a directory of tools. Data operations are likely limited to a static database or basic catalog metadata, with low risk of complex vector store poisoning or embedding inversion.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — There is no evidence of an orchestration framework, planning, or tool-calling capabilities, as this is a directory website rather than an active AI agent.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Standard web hosting vulnerabilities apply (e.g., server compromise, DDoS, or database exposure), but specific sandboxing or containerization details for agent execution are not mentioned or required.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No mention of AI-specific evaluation, guardrails, or observability tools, which are likely absent given the directory nature of the platform.

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

Not certain from the listing — The listing does not mention any security certifications, access controls, or compliance frameworks (like GDPR or NIST) for managing the directory data.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — While it lists other AI tools, it does not appear to interact programmatically with them as a multi-agent ecosystem, though there is a minor risk of listing compromised or malicious third-party tools.

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.