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Appsy Tools — agentic threat model

4.7AIVSS 4.7 · Medium

Appsy Tools is a low-risk AI directory platform with minimal agentic capabilities, where the primary security risks stem from potential database poisoning (listing malicious tools) and standard web application vulnerabilities rather than autonomous execution.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 0.36Factor sum 0.7/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.10
Contextual Awareness
0.10
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.20
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 — likely uses a basic LLM or semantic search model for query parsing, which could be vulnerable to prompt injection or model evasion if an LLM is used to match user queries to tools.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — relies on a database of AI tools. The primary threat is data poisoning, where malicious actors submit harmful or fraudulent tool listings that bypass curation.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — likely does not use an active agent framework, meaning risks related to autonomous tool execution, planning loops, or memory poisoning are negligible.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — standard web hosting and database infrastructure. Vulnerable to typical web application threats such as cross-site scripting (XSS) or database injection if inputs are not sanitized.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — likely lacks advanced LLM guardrails or drift detection, relying instead on standard web logging and analytics.

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

Not certain from the listing — no security certifications, access controls, or compliance frameworks are mentioned in the public directory listing.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — acts as a directory of other agents/tools. The main ecosystem risk is serving as a vector for downstream supply chain attacks if it directs users to compromised or malicious third-party AI tools.

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