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Apify MCP Server — agentic threat model

9.2AIVSS 9.2 · Critical

The Apify MCP Server presents a high agentic risk due to its massive tool surface area (thousands of Actors) and its direct exposure to untrusted web data, making it highly susceptible to indirect prompt injection and unauthorized resource consumption.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.2AARS uplift 0.95Factor sum 4.8/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.40
Self-Modification
0.10
Dynamic Tool Use
0.90
Persistent Memory
0.20
Contextual Awareness
0.50
Dynamic Identity
0.30
Multi-Agent Interactions
0.70
Non-Determinism
0.60
Opacity & Reflexivity
0.50

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The specific foundation models consuming this MCP server are not defined, but any model integrated with it is highly vulnerable to indirect prompt injection and reprogramming via scraped web content.

L2 · Data Operations✓ mapped

The agent performs web scraping and structured data extraction. Ingesting untrusted external web content presents a severe risk of data poisoning, where malicious web pages inject instructions to hijack the LLM's context.

L3 · Agent Frameworks✓ mapped

Exposing thousands of Apify Actors as tools creates an extremely large tool surface area. Risks include tool misuse, execution of arbitrary or expensive automations, and insecure tool integration if parameters are not strictly validated.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment of the MCP server and the isolation level of the executed Actors are not detailed, though running arbitrary Actors can hit external sites and potentially lead to IP blocking or SSRF-like behavior.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of built-in guardrails, content filtering, or anomaly detection to identify when scraped content contains malicious payloads or when Actor execution costs spike abnormally.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — The listing does not specify authorization policies or access controls to restrict which users can trigger specific Actors or limit the financial spend on the Apify platform.

L7 · Agent Ecosystem✓ mapped

The agent connects directly to the vast Apify Actor ecosystem. This creates a high risk of cascading failures or trust abuse if a third-party Actor in the marketplace is compromised or behaves maliciously.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).