Cleo — agentic threat model
Cleo presents a moderate-to-high risk profile due to its integration of automated web scraping (susceptible to indirect prompt injection from competitor sites) and a cryptocurrency payment system, which introduces direct financial vectors if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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.
Not certain from the listing — likely relies on third-party LLMs for text synthesis. The primary threat is indirect prompt injection, where malicious instructions embedded in competitor websites could hijack the model's analysis or output generation.
Not certain from the listing — ingests real-time external web data for competitive intelligence. This exposes the agent to data poisoning or manipulation if competitors publish deceptive content specifically designed to mislead automated scrapers.
Not certain from the listing — orchestrates scraping tools and a cryptocurrency payment API. Insecure tool integration could allow a manipulated LLM context to trigger unauthorized crypto transactions or alter payment destinations.
Not certain from the listing — web-hosted deployment. The scraping infrastructure requires strict sandboxing and network segmentation to prevent Server-Side Request Forgery (SSRF) when fetching untrusted competitor URLs.
Not certain from the listing — no observability or guardrail mechanisms are mentioned. Without real-time monitoring, prompt injection attacks or scraping failures may go unnoticed, leading to corrupted intelligence reports.
Not certain from the listing — the integration of cryptocurrency payments introduces significant compliance, KYC/AML, and financial security challenges that are not detailed in the public directory.
Not certain from the listing — operates as a standalone web agent. However, it interacts with external blockchain ecosystems for payments, introducing risks related to smart contract vulnerabilities or transaction intercept attacks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).