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lindo.ai — agentic threat model

8.8AIVSS 8.8 · High

Lindo.ai presents a moderate-to-high risk profile due to its integration with payment processing, client billing, and custom domain configuration, which could be abused for financial fraud or phishing if compromised.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.2AARS uplift 0.59Factor sum 3.1/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.40
Goal-Driven Planning
0.30
Self-Modification
0.10
Dynamic Tool Use
0.50
Persistent Memory
0.30
Contextual Awareness
0.40
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.50
Opacity & Reflexivity
0.30

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 — Lindo.ai likely utilizes commercial LLMs to generate website copy and layout structures. Primary threats include prompt injection leading to the generation of malicious scripts or misaligned/offensive output on client websites.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform processes user-provided business descriptions, branding assets, and client billing data. Risks include data exfiltration of sensitive client information and lack of clear data lineage for generated assets.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework translates user prompts into structured website blocks and API calls for billing. Threats include insecure tool integration where prompt injections could trigger unauthorized billing actions or API abuse.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Lindo.ai hosts generated websites and manages custom domains. Infrastructure risks include subdomain takeover, insecure hosting environments, and exposure of API keys used for third-party integrations.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no public information regarding automated guardrails to detect if the AI is generating phishing sites, malware-hosting pages, or violating content policies.

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

Not certain from the listing — While the platform handles client billing and subscriptions (implying PCI-DSS scope), details on multi-tenant isolation, access control for white-label admins, and audit logging are not specified.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent interacts with external payment gateways and integration tools. Risks include cascading failures or trust abuse if a connected third-party service is compromised.

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.