AgentReadyHomeAgent Listing

← Cartographer

Cartographer — agentic threat model

8.4AIVSS 8.4 · High

Cartographer presents a moderate-to-high risk profile due to its parallel multi-agent architecture and deep access to proprietary codebases, though its actions are primarily read-only and documentation-focused.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 1.95Factor sum 5.3/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.70
Goal-Driven Planning
0.80
Self-Modification
0.10
Dynamic Tool Use
0.40
Persistent Memory
0.30
Contextual Awareness
0.80
Dynamic Identity
0.20
Multi-Agent Interactions
0.90
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 — relies on external foundation models to power parallel subagents; vulnerable to prompt injection within codebase files that could hijack subagent behavior during mapping.

L2 · Data Operations✓ mapped

Ingests entire codebases of arbitrary size. Vulnerable to data exfiltration of intellectual property if the subagents or output channels are compromised, and codebase poisoning where malicious source code manipulates the generated map.

L3 · Agent Frameworks✓ mapped

Uses a fan-out orchestration framework to coordinate parallel subagents. Risks include insecure tool integration for repository reading and potential denial-of-service/resource exhaustion during recursive mapping of massive repositories.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — requires access to local or remote code repositories. If run without strict sandboxing, subagents could exploit path traversal vulnerabilities to access unauthorized files on the host system.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no built-in logging, evaluation, or guardrail mechanisms are mentioned to monitor subagent behavior or detect anomalous file access patterns during repository exploration.

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

Not certain from the listing — lacks explicit access control, authentication, or compliance policies regarding who can initiate repository mapping or where the generated documentation is stored.

L7 · Agent Ecosystem✓ mapped

Employs a multi-agent architecture where a coordinator agent fans out tasks to parallel subagents. Vulnerable to cascading failures or trust abuse if a single subagent is compromised by malicious code and feeds poisoned data back to the coordinator.

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