BlindOracle — agentic threat model
BlindOracle exhibits a high-risk profile due to its autonomous DeFi stress-testing capabilities and multi-agent architecture, but this is significantly offset by robust built-in security controls including CaMel 4-layer self-verification and cryptographic proof attestation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.40 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.80 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.50 |
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.
Routes analysis dynamically between Haiku and Opus. Threats include adversarial prompt injection to bypass compliance checks or manipulate the routing logic to force expensive Opus calls (DoS) or weak Haiku analysis.
Relies on historical exploit patterns and protocol parameters. Threats include data poisoning of the historical exploit database to hide specific vulnerabilities or manipulate risk scoring.
Orchestrates autonomous scenario selection and execution. Threats include logic flaws in the scenario selection engine allowing malicious protocols to bypass testing, or exploitation of the CaMel self-verification framework.
Not certain from the listing — details on hosting, containerization, and sandboxing of the simulation environment are not specified, though it operates as an API with micropayments.
Features a learning loop and OWASP ASI01-10 risk scoring. Threats include feedback loop poisoning to artificially lower risk scores over time, and evasion of the self-verification guardrails.
Employs CaMel 4-layer security and cryptographic proof attestation. Threats include cryptographic key compromise, which would allow an attacker to sign off on fraudulent or unverified audit reports.
Operates a production system of 408 agents with micropayments. Threats include cascading failures across agents, unauthorized agent-to-agent trust abuse, and exploitation of the micropayment system.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).