Maps Scraper AI — agentic threat model
Maps Scraper AI is a specialized lead-generation utility with low agentic autonomy, primarily posing data privacy (GDPR/CCPA) and API abuse risks rather than systemic autonomous decision-making threats.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 specific LLM or parsing model used to extract emails and social media from unstructured web data is not disclosed. If an LLM is used for parsing, it could be vulnerable to indirect prompt injection via malicious content placed on scraped websites.
Not certain from the listing — details on how scraped lead data (emails, social links) is stored, cached, or protected are missing. The primary risk is the unauthorized exfiltration or exposure of harvested PII.
Not certain from the listing — the orchestration framework is not specified. However, because the agent mimics real user behavior to scrape maps, insecure tool integration of browser automation tools (like Puppeteer or Selenium) could lead to local file disclosure or SSRF if not properly sandboxed.
Not certain from the listing — hosting, sandboxing, and proxy rotation infrastructure are not detailed. Compromise of the scraping infrastructure could allow attackers to abuse the proxy network or access user API keys.
Not certain from the listing — there is no mention of logging, rate-limiting, or abuse-detection mechanisms to prevent users from using the tool for malicious harvesting or spam campaigns.
Not certain from the listing — compliance with data privacy regulations (GDPR, CCPA) regarding automated email harvesting is highly questionable, and no authentication or access control mechanisms are described.
Not certain from the listing — the agent appears to operate as a standalone utility or API, with no explicit multi-agent or marketplace integrations 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.