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scrapling-skill — agentic threat model

9.9AIVSS 9.9 · Critical

The scrapling-skill agent presents a high security risk due to its ability to execute CLI commands and run a headless browser directly on the host system without explicit sandboxing. A compromise or prompt injection could lead to arbitrary remote code execution (RCE) or host compromise.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 9.8AARS uplift 0.08Factor sum 3.8/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.70
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.10
Contextual Awareness
0.40
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.50
Opacity & Reflexivity
0.40

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 listing does not specify the underlying LLM used to drive the skill. Standard LLM threats like prompt injection could be used to manipulate the CLI commands or URL targets.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — No explicit data storage or vector database is mentioned, but the skill extracts data from external web pages, presenting risks of data poisoning or ingestion of malicious payloads from untrusted sites.

L3 · Agent Frameworks✓ mapped

The skill orchestrates CLI execution (uv tool install, scrapling extract) and browser rendering. This creates a high risk of tool misuse, command injection, and insecure tool integration if input URLs or extraction parameters are not strictly sanitized.

L4 · Deployment & Infrastructure✓ mapped

The skill runs CLI commands and a headless browser directly on the host. This presents severe infrastructure risks, including host compromise, privilege escalation, and lack of sandboxing if the host environment is not isolated.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of logging, guardrails, or anomaly detection to monitor the headless browser's behavior or CLI execution.

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

Not certain from the listing — No authentication, authorization, or compliance policies are described for controlling who can trigger CLI installations or web extraction.

L7 · Agent Ecosystem✓ mapped

This is a 'Community Agent Skill' designed to be integrated into larger agent frameworks. If integrated without isolation, a compromise of this skill could allow cascading failures or lateral movement to other skills/agents.

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