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Firecrawl (Composio MCP) — agentic threat model

7.1AIVSS 7.1 · High

The Firecrawl (Composio MCP) agent presents a moderate-to-high security risk primarily driven by indirect prompt injection via arbitrary web scraping and SSRF-style risks from agent-controlled target URLs. While Composio manages authentication, the ingestion of untrusted external web content requires robust downstream guardrails to prevent exploitation.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.87Factor sum 3.3/10Threat ×1.05Mitigation ×0.85
Autonomy of Action
0.60
Goal-Driven Planning
0.40
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.10
Contextual Awareness
0.30
Dynamic Identity
0.20
Multi-Agent Interactions
0.40
Non-Determinism
0.50
Opacity & Reflexivity
0.30

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 agent relies on external LLMs via the MCP client. These models are highly vulnerable to indirect prompt injection embedded in the scraped markdown or structured data retrieved by Firecrawl.

L2 · Data Operations✓ mapped

Ingests arbitrary external web content via crawling and scraping. This creates a significant risk of data poisoning and indirect prompt injection, as malicious actors can host payloads on scraped web pages to manipulate the agent's behavior.

L3 · Agent Frameworks✓ mapped

Integrates via Composio MCP. Tool execution risks include SSRF-style attacks where the agent is manipulated into targeting internal, sensitive, or malicious URLs, potentially exposing internal network structures or API endpoints.

L4 · Deployment & Infrastructure✓ mapped

Composio handles authentication and manages the Firecrawl API key. The primary infrastructure risk is the potential exposure or leakage of this API key, or unauthorized usage of the Firecrawl service to bypass rate limits and access controls.

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 inspect scraped web content for malicious payloads before passing it to the LLM.

L6 · Security & Compliance (cross-cutting)✓ mapped

Authentication is managed by Composio, providing a centralized layer of access control. However, compliance risks remain high if the agent is used to scrape copyrighted, personal, or sensitive data without authorization.

L7 · Agent Ecosystem✓ mapped

Operates within the Composio MCP ecosystem. If integrated into multi-agent workflows, a compromise of this tool (e.g., via a malicious scrape) can propagate downstream, leading to cascading failures or unauthorized actions by other connected agents.

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