AgentReadyHomeAgent Listing

← AppWizzy

AppWizzy — agentic threat model

9.2AIVSS 9.2 · Critical

AppWizzy presents a high-risk profile as an AI-driven application generator and deployer; a compromise could lead to the injection of vulnerabilities or backdoors into generated business-critical systems like CRMs and ERPs.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.72Factor sum 4.8/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.70
Self-Modification
0.30
Dynamic Tool Use
0.70
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.30
Multi-Agent Interactions
0.20
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 — likely relies on external commercial or open-source LLMs for code generation, exposing the platform to prompt injection, model reprogramming, or the generation of insecure code templates.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — as an application generator, it likely handles database schema definitions and initial data seeding, risking SQL injection or data exposure if generated code lacks proper sanitization.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — the orchestration framework for generating and deploying CRM/ERP apps is unspecified, risking insecure tool integration or insecure code generation templates during the planning phase.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — deployment of custom web apps implies hosting infrastructure, but sandboxing, containerization, and secrets management for these generated apps are not detailed, risking container escape or privilege escalation.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of built-in guardrails, code scanning, or observability tools to monitor the generated applications or the generation process itself for malicious outputs.

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

Not certain from the listing — open-source and freemium model with no explicit mention of compliance standards (e.g., SOC2, GDPR) or built-in access control policies for the generated apps.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — while it generates multi-tenant SaaS/CRM/ERP solutions, there is no explicit mention of multi-agent orchestration or marketplace interactions.

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