Scraperify — agentic threat model
Scraperify is a low-risk, low-autonomy suite of browser-based scraping extensions with minimal agentic capabilities. The primary security risks stem from traditional browser extension vulnerabilities, such as session hijacking, DOM injection, and potential violations of target platform terms of service.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.10 | |
| 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 — Scraperify appears to be a traditional DOM-based or rule-based scraper packaged as Chrome extensions rather than an LLM-driven agent. If LLMs are used for parsing, they are hidden.
Not certain from the listing — The tool extracts data from target websites (eBay, Instagram, etc.) and exports to CSV/JSON. It does not mention a vector database, RAG, or training data operations.
Not certain from the listing — There is no evidence of an agent orchestration framework (like LangChain or AutoGPT), planning, or memory. It operates as a set of static Chrome extensions executing predefined scraping scripts.
The tool is deployed as a suite of Chrome extensions. Threats include extension-level vulnerabilities, DOM injection, cross-site scripting (XSS) via scraped content, and potential abuse of browser permissions (access to all website data).
Not certain from the listing — No mention of LLM evaluation, guardrails, or observability tools.
Closed source, freemium. No mention of security certifications (like SOC2), compliance with target website Terms of Service (ToS), or data privacy controls for scraped personal data (e.g., Instagram profiles).
No multi-agent or marketplace interactions are described. It is a standalone set of browser extensions.
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.