0xLuigi — agentic threat model
0xLuigi exhibits high agentic risk due to its autonomous scraping of untrusted social and on-chain data combined with plans for autonomous fund management, making it highly susceptible to indirect prompt injection and financial exploitation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.50 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.90 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.80 | |
| 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 — The specific foundation models powering 0xLuigi are not disclosed, leaving potential vulnerabilities to model-specific adversarial attacks, model stealing, or alignment issues unverified.
0xLuigi scrapes Crypto Twitter, Telegram, and on-chain data, exposing its data ingestion pipeline to severe indirect prompt injection and data poisoning risks from malicious social media posts or manipulated on-chain metadata.
The agent uses orchestration to post to social media and plans to execute trades, utilizing a 'diary' for self-improvement. This creates risks of memory poisoning and unauthorized tool execution if the orchestration layer is compromised.
Not certain from the listing — While it utilizes BerryChain, NEAR, and Aurora, the underlying hosting, sandboxing, and secrets management for API keys and private keys are not detailed.
0xLuigi features a dedicated data transparency page publishing its full reasoning process, which significantly aids observability, though automated guardrails against drift or manipulation are not detailed.
Not certain from the listing — There is no mention of formal security compliance, access controls, or human-in-the-loop (HITL) constraints for its autonomous trading and posting actions.
Interacts with decentralized ecosystems (NEAR Protocol Intents, Aurora), creating risks of cascading failures or trust abuse when interacting with external smart contracts and protocols.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).