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StressLess AI — agentic threat model

7.3AIVSS 7.3 · High

StressLess AI presents a moderate-risk profile primarily driven by the extreme sensitivity of mental health conversational data and the potential for harmful or misaligned LLM outputs to vulnerable users, rather than high operational autonomy or tool-use capabilities.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.3AARS uplift 1.0Factor sum 2.7/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.60
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 — The specific foundation models used are not disclosed. The primary threats at this layer are misaligned outputs (e.g., giving harmful advice to a user in crisis) and adversarial jailbreaks that bypass safety guardrails.

L2 · Data Operations✓ mapped

The agent relies on an 'extensive, curated knowledge base' of science-validated therapeutic frameworks. The primary threat is knowledge-base poisoning or unauthorized modification of these validated tools, which could lead to the dissemination of unsafe mental health advice.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework (e.g., LangChain, custom RAG) is not specified. Threats include session state/memory poisoning, where malicious user inputs permanently corrupt the agent's context for that user.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting infrastructure is not detailed, though it integrates with WhatsApp and web browsers. Threats include insecure API integrations with WhatsApp and lack of sandboxing for user session data.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No specific evaluation, guardrail frameworks, or observability tools are mentioned. The lack of real-time safety monitoring for self-harm or clinical crisis detection represents a critical vulnerability.

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

Not certain from the listing — Despite claiming 'confidential support', no specific compliance standards (such as HIPAA or GDPR) or encryption mechanisms are detailed for handling highly sensitive mental health data.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — There is no indication of multi-agent orchestration or marketplace integrations, suggesting a single-agent architecture with minimal ecosystem-level threats.

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.