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trailofbits-cairo-vulnerability-scanner — agentic threat model
The agent poses low direct operational risk as a passive vulnerability scanner, but carries significant indirect risk if compromised, potentially leading to proprietary code exfiltration or the masking of critical smart contract vulnerabilities (false negatives) before deployment.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| 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.
Not certain from the listing — the underlying LLM is not specified, but threats include adversarial prompt injection designed to bypass vulnerability detection or cause false negatives in Cairo code analysis.
Not certain from the listing — it is unclear if the agent uses a vector database or RAG for Cairo/StarkNet patterns, but risks include training data poisoning or leakage of proprietary smart contract source code analyzed by the scanner.
Not certain from the listing — the orchestration framework is unspecified, but insecure tool integration could allow arbitrary code execution if the scanner attempts to compile or run untrusted Cairo code.
Not certain from the listing — hosting details are not provided, but running Cairo compilers or static analysis tools on untrusted user code requires strict container sandboxing to prevent host compromise.
Not certain from the listing — no monitoring or guardrails are mentioned, presenting risks of undetected drift in vulnerability detection capabilities or silent failures.
Not certain from the listing — there are no details on access control or compliance frameworks, which is critical if the agent processes sensitive, pre-deployment smart contract code.
Not certain from the listing — it is described as a standalone skill, but integration into broader CI/CD multi-agent workflows could lead to cascading trust issues if the scanner's output is automatically trusted to approve deployments.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).