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← Wisdomise

Wisdomise — agentic threat model

9.7AIVSS 9.7 · Critical

Wisdomise presents a high-risk profile due to its autonomous trading capabilities ('AI Auto Trader') and direct integration with digital assets, where a compromise of its decision-making logic or API credentials could result in immediate financial loss.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.9AARS uplift 0.76Factor sum 6.3/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.70
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.60
Contextual Awareness
0.90
Dynamic Identity
0.70
Multi-Agent Interactions
0.20
Non-Determinism
0.80
Opacity & Reflexivity
0.70

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 fine-tuned financial LLMs. Threats include adversarial prompt injection manipulating trading decisions or model stealing of proprietary trading logic.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — relies on real-time market data feeds, coin trends, and technical indicators. Threats include data poisoning of market feeds (oracle manipulation) leading to bad trades.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestrates 'Coin Radar', 'Technical Radar', and 'AI Auto Trader'. Threats include insecure tool integration (wallet/exchange APIs) and unauthorized execution of trades.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — closed-source SaaS platform. Threats include compromise of API keys/secrets stored in the infrastructure, leading to unauthorized asset draining.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — requires strict guardrails to prevent runaway trading loops or anomalous transactions. Threats include lack of real-time drift detection or transaction limits.

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

Not certain from the listing — operates in the highly regulated financial/crypto space but lacks explicit compliance certifications in the listing. Threats include regulatory non-compliance and lack of robust audit trails for automated trades.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — primarily functions as a single-user platform with multiple specialized tools. Threats include cascading failures if external exchange APIs or oracle agents fail.

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.