vulnerability-scanner — agentic threat model
The vulnerability-scanner agent poses a critical security risk due to its powerful Bash and file-system access (Read/Glob/Grep), which can be exploited via prompt injection to execute arbitrary commands or exfiltrate sensitive codebase data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.10 | |
| 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.
Not certain from the listing — the underlying foundation model is not specified, leaving it vulnerable to standard LLM risks such as prompt injection, which could be leveraged to abuse the agent's file system and Bash capabilities.
The agent directly accesses and processes sensitive codebase data using Read, Glob, and Grep tools. This introduces significant risks of proprietary code exfiltration or exposure to malicious code designed to exploit the scanner itself.
The integration of Bash and file-system tools presents a severe risk of tool misuse. If the agent is manipulated via prompt injection, an attacker could execute arbitrary shell commands under the guise of vulnerability scanning.
The agent's ability to run Bash commands requires strict sandboxing. Without explicit containerization or restricted execution environments, there is a high risk of host compromise, privilege escalation, and lateral network movement.
Not certain from the listing — there is no mention of logging, guardrails, or evaluation frameworks to monitor the agent's execution of Bash commands or to detect anomalous behavior.
Not certain from the listing — no security policies, authorization mechanisms, or compliance frameworks (such as NIST or ISO) are specified to govern the agent's high-privilege actions.
Not certain from the listing — there is no indication of multi-agent orchestration or ecosystem integration, though unauthorized exposure of its tools to other agents would escalate risk.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).