undetected-chrome-mcp — agentic threat model
This agent presents a high-risk profile due to its specialized capabilities in evading bot detection and capturing network traffic, which can be easily weaponized for automated data exfiltration or unauthorized web interactions if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.90 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.40 | |
| 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.
Not certain from the listing — The underlying foundation model is not specified; however, adversarial prompt injection could force the model to abuse the browser automation tools to navigate to malicious sites or bypass intended application logic.
Not certain from the listing — No explicit RAG or vector database is mentioned, but the agent's ability to monitor and capture network traffic means it handles highly sensitive runtime data (including session tokens, cookies, and API payloads) that could be leaked or poisoned.
The agent framework integrates directly with undetected-chromedriver and Puppeteer. The primary threat is tool misuse, where an attacker exploits the MCP tool definitions to force the browser to perform unauthorized actions, bypass site controls, or exfiltrate sensitive network logs.
Not certain from the listing — The hosting environment is unspecified, but running a full browser instance (Chrome/Puppeteer) requires robust sandboxing to prevent container escape, local privilege escalation, or unauthorized lateral network access from the browser process.
Not certain from the listing — There are no mentioned guardrails or logging mechanisms to monitor what URLs the browser accesses or to detect anomalous traffic patterns, creating a significant blind spot for security teams.
Not certain from the listing — The tool lacks built-in authentication, authorization, or policy enforcement controls, relying entirely on the host application to restrict access to the powerful browser automation capabilities.
As an MCP tool, this agent is designed to be called by other agents. In a multi-agent ecosystem, a compromised orchestrator agent could abuse this tool to perform stealthy web scraping, credential stuffing, or distributed attacks while evading target site defenses.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).