Longbridge — agentic threat model
The Longbridge agent possesses significant risk due to its integration with financial portfolios and quantitative trading capabilities across multiple global markets, presenting high potential impact if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.50 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| 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 utilizes commercial or open-source LLMs to interpret financial queries. Threats include prompt injection leading to biased financial advice or unauthorized portfolio actions.
Not certain from the listing — relies on real-time market data, fundamentals, and portfolio data from Longbridge Securities. Threats include data exfiltration of sensitive portfolio holdings and API data poisoning.
Not certain from the listing — orchestrates 13 consolidated skills for market analysis and portfolio management. Threats include tool misuse, where malicious inputs trigger unintended quantitative execution or portfolio modifications.
Not certain from the listing — open-source nature means deployment is user-managed. Threats include insecure storage of Longbridge API credentials and lack of sandboxing for execution environments.
Not certain from the listing — no built-in financial guardrails or transaction monitoring are described. Threats include blind spots in detecting anomalous trading or querying behavior.
Not certain from the listing — operates across HK/US/A-share/SG markets which have strict financial compliance requirements, but the agent's internal compliance controls are unspecified.
Not certain from the listing — designed as a horizontal financial tool. Threats include cascading failures if integrated into larger automated multi-agent financial workflows.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.