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Skyfire — agentic threat model

8.0AIVSS 8.0 · High

Skyfire presents a high-risk profile due to its enablement of autonomous financial transactions and wallet access for AI agents, making it a prime target for financial theft and cascading multi-agent transaction failures.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.92Factor sum 5.6/10Threat ×1.1Mitigation ×0.85
Autonomy of Action
0.90
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.90
Multi-Agent Interactions
0.80
Non-Determinism
0.30
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 — Skyfire acts as a financial infrastructure layer rather than a foundation model provider, so model-specific vulnerabilities like adversarial reprogramming depend entirely on the external LLMs integrating with it.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — While transaction ledgers and wallet states must be maintained, the listing does not detail RAG pipelines, vector databases, or training data operations.

L3 · Agent Frameworks✓ mapped

Skyfire provides critical financial tools (wallets, payment protocols) to agent frameworks. The primary threat here is tool misuse, where compromised or poorly constrained orchestration frameworks could trigger unauthorized or runaway financial transactions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment, network isolation, and secrets management for private keys/wallets are not specified, though secure key storage is critical to prevent wallet compromise.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no explicit mention of transaction monitoring, anomaly detection, or guardrails to prevent anomalous spending behavior by autonomous agents.

L6 · Security & Compliance (cross-cutting)✓ mapped

Skyfire explicitly addresses this layer by offering 'verifiable agent identity' and 'secure wallet access' to establish trust, authorization, and non-repudiation for autonomous financial actors.

L7 · Agent Ecosystem✓ mapped

Highly critical layer for Skyfire. It enables an open payment protocol for agent-to-agent (A2A) commerce. Threats include rogue agents executing financial fraud, trust abuse between transacting agents, and cascading transaction failures across the ecosystem.

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.