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Agent4Rec — agentic threat model

8.2AIVSS 8.2 · High

Agent4Rec (CACA Agent) presents a moderate risk profile as an open-source research and simulation framework; its primary hazards stem from the dynamic integration of tools via a Tool Broker without native sandboxing or access controls.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 1.89Factor sum 5.1/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.50
Goal-Driven Planning
0.70
Self-Modification
0.20
Dynamic Tool Use
0.80
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.20
Multi-Agent Interactions
0.70
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 description mentions reducing reliance on a single LLM through collaborative capabilities, but does not specify which foundation models are supported. Threats include prompt injection affecting the planning and methodology capabilities.

L2 · Data Operations✓ mapped

The agent utilizes the MovieLens dataset for user behavior simulation. Threats include data poisoning of the simulation datasets, which could bias the recommender system simulation results.

L3 · Agent Frameworks✓ mapped

Features explicit Planning, Methodology, and Tools Capabilities with a Tool Broker. Threats include tool misuse, insecure tool integration, and hijacking of the Tool Broker to execute unauthorized services.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — As an open-source research framework, deployment details are unspecified. Lack of sandboxing for the Tool Service could allow local path traversal or arbitrary code execution on the host.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No built-in guardrails or logging mechanisms are detailed. This creates blind spots in monitoring simulated user behaviors and tool execution paths.

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

Not certain from the listing — There is no mention of authentication, authorization, or access controls for the Tool Broker or Tool Service, posing compliance risks if deployed in production.

L7 · Agent Ecosystem✓ mapped

Designed for capability collaboration and multi-agent simulation. Threats include cascading failures across collaborative capabilities and trust abuse between the Tool Broker and external Tool Services.

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.