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Laika AI — agentic threat model

8.8AIVSS 8.8 · High

Laika AI operates as a closed-source Web3 browser extension providing security audits and market analysis; its primary risk lies in client-side extension compromise or prompt injection leading to false trust in malicious smart contracts.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.3AARS uplift 0.5Factor sum 2.8/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.40
Persistent Memory
0.20
Contextual Awareness
0.70
Dynamic Identity
0.10
Multi-Agent Interactions
0.00
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — likely uses commercial or proprietary LLMs for contract analysis and market reviews. Threats include prompt injection leading to bypassed phishing detection or false-positive/negative smart contract audits.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — requires ingestion of real-time blockchain data, smart contract source code, and phishing databases. Threats include poisoning of the phishing/malicious contract database or vector store.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestration likely handles browser events, API calls to blockchain nodes, and LLM queries. Threats include insecure tool integration where malicious smart contract code triggers prompt injection during analysis.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — deployed as a browser extension interacting with backend APIs. Threats include extension-level compromise, API key theft, and man-in-the-middle attacks on blockchain data feeds.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no details on how the AI's audit accuracy or phishing detection rates are monitored. Threats include drift in smart contract vulnerability patterns and evasion of phishing detection.

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

Not certain from the listing — closed-source tool with no mentioned compliance audits (e.g., SOC2) or formal verification of its own security analysis engine.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — does not explicitly mention multi-agent collaboration or marketplace integrations, though it operates within the broader Web3/DeFi 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.