Task Master — agentic threat model
Task Master presents a moderate-to-high security risk due to its access to local project files, external LLM API keys, and integration with coding agents, creating a vector where prompt injection could lead to unauthorized file access or malicious task generation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.80 | |
| 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.
Calls external LLM providers. Vulnerable to prompt injection via untrusted PRDs, which could manipulate task generation, complexity analysis, or leak API keys.
Reads project files and PRDs. Vulnerable to data exfiltration of proprietary source code or intellectual property, and data poisoning of the task graph.
Orchestrates tasks over MCP, providing task CRUD and dependency management. Vulnerable to tool misuse where malicious inputs trigger unintended file reads or task modifications.
Not certain from the listing — assumes execution in a local developer environment or MCP host; threats include insecure storage of external LLM API keys and lack of sandboxing for file system access.
Not certain from the listing — no logging, guardrails, or evaluation mechanisms are described; threats include a lack of audit trails for task modifications and undetected drift in complexity analysis.
Not certain from the listing — no authentication, authorization, or compliance controls are specified; threats include unauthorized local users accessing the MCP server and API keys.
Integrates directly with coding agents to plan and track work. Vulnerable to cascading failures and trust abuse, where a compromised Task Master feeds malicious tasks to a coding agent that executes them.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).