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Strabo — agentic threat model

8.8AIVSS 8.8 · High

Strabo presents a high-risk profile due to its integration with financial accounts and its capability to assist in or execute investment decisions, making it a prime target for financial theft and data exfiltration.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.72Factor sum 4.8/10Threat ×1.0Mitigation ×0.95
Autonomy of Action
0.60
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.70
Persistent Memory
0.60
Contextual Awareness
0.70
Dynamic Identity
0.40
Multi-Agent Interactions
0.30
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — Strabo likely utilizes foundation models for news and sentiment analysis. Threats include prompt injection that could manipulate sentiment scores, leading to biased or malicious investment recommendations.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent connects to user financial accounts and ingests external news data. Threats include poisoning of the news feed to influence forecasting, and unauthorized exfiltration of sensitive financial holdings.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — Orchestrates financial forecasting and account connections. Threats include insecure tool integration with financial APIs, potentially allowing unauthorized transactions or account modifications.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Strabo is deployed as a dashboard. Threats include insecure storage of financial API credentials, session hijacking, and lack of sandboxing for execution of investment logic.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No observability or guardrails are mentioned. Gaps here could allow silent drift in financial forecasting models or undetected manipulation of sentiment analysis.

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

Not certain from the listing — While handling sensitive financial data, no specific compliance frameworks (e.g., SOC2, PCI-DSS, or financial regulations) are cited. This poses significant compliance and data privacy risks.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — Allows sharing of vital information with partners and advisers. Threats include unauthorized data exposure, privilege escalation, or social engineering attacks leveraging the shared access channels.

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.