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Traiders — agentic threat model

8.9AIVSS 8.9 · High

Traiders presents a high-risk profile due to its ability to translate natural language into executable trading algorithms and its direct integration with over 100 brokerages, creating a direct path from LLM manipulation to significant financial loss.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 9.8AARS uplift 0.13Factor sum 6.0/10Threat ×1.1Mitigation ×0.9
Autonomy of Action
0.80
Goal-Driven Planning
0.70
Self-Modification
0.20
Dynamic Tool Use
0.90
Persistent Memory
0.60
Contextual Awareness
0.80
Dynamic Identity
0.40
Multi-Agent Interactions
0.30
Non-Determinism
0.70
Opacity & Reflexivity
0.60

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The specific LLMs used for conversational strategy building are not disclosed. Threats include prompt injection leading to malicious trading logic generation or model reprogramming to bypass risk limits.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The source of real-time market intelligence and historical backtesting data is unspecified. Threats include market data poisoning to manipulate strategy generation or backtesting results.

L3 · Agent Frameworks✓ mapped

The agent translates natural language into executable trading algorithms and interfaces with broker APIs. Threats include insecure tool integration (broker APIs) and prompt injection translating to unauthorized trade execution.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment for executing generated algorithms and storing broker API keys is not detailed. Threats include insecure storage of API secrets and lack of sandboxing for user-generated trading code.

L5 · Evaluation & Observability✓ mapped

The platform provides 'Professional Analytics' and 'Advanced Backtesting' to evaluate strategy performance. Threats include evaluation gaming where backtesting data is manipulated, or insufficient logging of automated trade executions.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — No explicit mention of financial regulatory compliance (SEC, FINRA, FCA), KYC/AML procedures, or standard security audits. Threats include regulatory non-compliance and unauthorized access to broker credentials.

L7 · Agent Ecosystem✓ mapped

Features a 'Validated Marketplace' where users buy/sell strategies. Threats include compromised or malicious strategies uploaded to the marketplace, leading to cascading financial losses for purchasing users.

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.