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IndieAI — agentic threat model

5.2AIVSS 5.2 · Medium

IndieAI is a curated directory of AI tools with minimal to no agentic capabilities, presenting low direct operational risk. Its primary security risks are traditional web vulnerabilities and the potential to list malicious third-party links.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.0AARS uplift 0.18Factor sum 0.4/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.00
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.00
Persistent Memory
0.10
Contextual Awareness
0.10
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.10
Opacity & Reflexivity
0.10

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 — IndieAI is described as a curated directory. If it uses LLMs for categorization or search, threats include prompt injection or misaligned outputs, but the listing does not specify any underlying foundation models.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The data operations likely consist of a database of curated AI tools. Threats include database injection, unauthorized modification of listings, or data poisoning of the directory content, but specific RAG or vector store details are not provided.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — IndieAI appears to be a static or search-based directory rather than an active agentic framework. There is no evidence of planning, memory, or tool-calling orchestration.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Standard web hosting threats apply (e.g., server compromise, database exposure, DDoS), but the specific hosting, sandboxing, or infrastructure details are not disclosed.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of LLM evaluation, guardrails, or observability tools. Standard web logging is assumed but unverified.

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

Not certain from the listing — No security certifications (e.g., SOC2, ISO) or compliance frameworks are mentioned. Basic web authentication for developers submitting tools is assumed but details are absent.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — While it lists other AI tools, IndieAI does not appear to interact programmatically with them as an agent ecosystem. The primary threat is listing malicious or compromised third-party AI tools (supply chain/ecosystem risk).

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.