Claude Equity Research — agentic threat model
Claude Equity Research is a low-autonomy, command-driven research assistant with moderate risk, primarily vulnerable to financial data poisoning, prompt injection manipulating recommendations, and supply-chain risks from its plugin marketplace deployment.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| 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 — likely relies on Anthropic Claude models. It is vulnerable to prompt injection attacks that could manipulate buy/sell recommendations or bypass the 'educational use' disclaimer to generate unauthorized financial advice.
Not certain from the listing — requires ingestion of external financial data (fundamental and technical indicators). It is vulnerable to data poisoning if upstream market data APIs or financial feeds are manipulated, leading to corrupted analysis.
The agent orchestrates research workflows triggered by slash commands. Risks include insecure tool integration with financial APIs and potential command injection if input arguments are not strictly sanitized before processing.
Not certain from the listing — deployment details are omitted. If hosted as a standard web service or container, it faces risks of host compromise, resource exhaustion during heavy research workflows, and exposure of API keys used for market data.
Not certain from the listing — there is no mention of evaluation, logging, or guardrails. This creates blind spots where biased, hallucinated, or malicious financial recommendations could be generated without detection.
Not certain from the listing — lacks explicit access controls or compliance frameworks. Although labeled for 'educational use', it lacks technical guardrails to enforce this boundary or prevent regulatory non-compliance regarding financial advice.
The agent is distributed via a plugin marketplace ('/plugin marketplace add'). This introduces supply-chain risks, including malicious plugin spoofing, marketplace account compromise, and cascading failures if the hosting marketplace platform is breached.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).