Google Maps Scraper AI — agentic threat model
Google Maps Scraper AI exhibits very low agentic risk, operating primarily as a deterministic data extraction utility with minimal autonomy, planning, or dynamic tool-use flexibility.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 listing does not specify which foundation model is used, or if it is a traditional scraper with an LLM wrapper. If an LLM is used to parse unstructured reviews or website data, it could be vulnerable to indirect prompt injection from malicious business descriptions or reviews.
Not certain from the listing — The tool processes Google Maps data and exports to Excel. There is no mention of a vector database or RAG. The primary data risk is scraping poisoned data (e.g., malicious URLs or phone numbers in Google Maps listings) which are then exported to the user's Excel sheet.
Not certain from the listing — The orchestration appears to be a simple linear script rather than a complex agentic framework. Risks of tool misuse are low as the tools (scraper, Excel exporter) are static and hardcoded rather than dynamically selected.
Not certain from the listing — Hosted as a web-based tool. Risks include server-side request forgery (SSRF) if the scraper attempts to visit external business websites to enrich data, or IP blocking/rate-limiting by Google.
Not certain from the listing — No mention of guardrails, monitoring, or evaluation frameworks. Gaps here could lead to undetected scraping failures, CAPTCHA blocks, or silent data corruption in the exported Excel files.
Not certain from the listing — No details on authentication, authorization, or compliance. Scraping public business data may raise GDPR/CCPA compliance questions if personal contact details (e.g., personal emails or mobile numbers) are harvested without consent.
Not certain from the listing — This is a standalone horizontal tool with no multi-agent or ecosystem interactions described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.