aiLEADS — agentic threat model
aiLEADS presents a moderate security risk primarily driven by its autonomous web-crawling capabilities, which expose it to indirect prompt injection and SSRF vulnerabilities when parsing untrusted third-party web content.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.60 |
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 uses a standard LLM for evaluating leads and extracting contact info. Threat: Indirect prompt injection from crawled websites manipulating the model's evaluation or extraction.
Not certain from the listing — ingests live web data dynamically. Threat: Poisoned web sources or malicious sites serving payloads designed to exploit the parser or vector database if RAG is used.
Orchestrates crawlers based on search queries and recursively crawls discovered sites. Threat: Infinite loops, SSRF (crawling internal/private IP ranges), or tool misuse where the crawler is tricked into visiting malicious endpoints.
Not certain from the listing — requires a scalable crawling infrastructure. Threat: IP blocking, sandbox escape if the crawler executes malicious JS on target sites, or resource exhaustion.
Not certain from the listing — no mention of guardrails or monitoring. Threat: Blind spots regarding what the crawler is accessing or lack of detection for malicious injected payloads.
Not certain from the listing — closed source, paid. Threat: Compliance risks regarding data scraping (GDPR/CCPA for contact info harvesting) and lack of explicit opt-out compliance.
Not certain from the listing — operates as a standalone lead gen tool. Threat: Low ecosystem risk, but could be chained with email automation agents, cascading malicious leads.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).