Evergreen Lead Gen — agentic threat model
Evergreen Lead Gen exhibits moderate agentic risk due to its autonomous weekly logic-refresh cycle and integration with high-value B2B data enrichment APIs. The primary risk vectors involve credential theft of third-party API keys and potential prompt injection during its automated Sunday updates.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.60 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| 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 — The underlying foundation model (referred to as x402) is not explicitly detailed. Threats include prompt injection altering the lead generation criteria or model reprogramming during the weekly logic refresh.
Not certain from the listing — The agent pulls data from Apollo, Lusha, ZoomInfo, and Clay to generate CSVs. Threats include data poisoning of the enrichment sources, data exfiltration of API keys, and lack of data lineage for the generated leads.
The agent uses orchestration to query enrichment tools and 'refreshes logic every Sunday' to self-update. Threats include insecure tool integration with Apollo/Clay APIs, tool misuse, and logic-refresh hijacking (prompt/code injection during the Sunday update).
Not certain from the listing — The hosting environment (e.g., cloud, containerization) is not specified, though it processes Stripe payments and runs weekly cron-like updates. Threats include container compromise, exposed API keys for enrichment tools, and lack of sandboxing during logic execution.
Not certain from the listing — No monitoring, logging, or guardrails are mentioned. Gaps include a lack of drift detection for the weekly logic updates and no validation of the generated CSV outputs.
Not certain from the listing — No explicit authentication, authorization, or compliance frameworks (like GDPR for B2B contact data) are detailed, despite handling Stripe payments and user API keys.
The agent interacts horizontally with external platforms (Apollo, Lusha, ZoomInfo, Clay, Stripe). Threats include API trust abuse, cascading failures if external APIs change, and credential theft from the integrated ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).