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PageIndex — agentic threat model

7.0AIVSS 7.0 · High

PageIndex presents a moderate security risk primarily centered on data confidentiality, as its reasoning-driven retrieval and MCP integration could be exploited via prompt injection to exfiltrate sensitive document contents.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 1.22Factor sum 3.5/10Threat ×1.0Mitigation ×0.9
Autonomy of Action
0.30
Goal-Driven Planning
0.50
Self-Modification
0.00
Dynamic Tool Use
0.40
Persistent Memory
0.20
Contextual Awareness
0.60
Dynamic Identity
0.10
Multi-Agent Interactions
0.50
Non-Determinism
0.40
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 for reasoning-driven tree search are not disclosed, but the system is vulnerable to prompt injection that could manipulate the tree-search reasoning or bypass document access controls.

L2 · Data Operations✓ mapped

PageIndex uses a vectorless RAG approach, building a hierarchical tree index from uploaded documents. Threats include data poisoning of the source documents to manipulate the tree index, and unauthorized data exfiltration of sensitive document contents via reasoning-driven retrieval queries.

L3 · Agent Frameworks✓ mapped

The framework relies on reasoning-driven tree search and integrates with the Model Context Protocol (MCP). Vulnerabilities include insecure tool integration via MCP and potential manipulation of the tree-search planning logic through adversarial document structures.

L4 · Deployment & Infrastructure✓ mapped

Supports self-hosting, hosted chat, API, and enterprise on-prem deployments. Risks vary by deployment: self-hosted/on-prem deployments face container or host compromise if the environment is not sandboxed, while the hosted API faces multi-tenant isolation risks.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no mention of built-in evaluation, logging, or guardrails. Without these, detecting drift, prompt injection attempts, or unauthorized document access patterns is difficult.

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

Not certain from the listing — while enterprise/on-prem deployment options are offered for privacy, specific access controls, authentication mechanisms, and compliance certifications (like SOC2 or ISO) are not detailed.

L7 · Agent Ecosystem✓ mapped

Integrates with the Model Context Protocol (MCP), allowing it to interface with other agents and hosts. This introduces risks of cascading failures or trust abuse if a compromised host or agent queries PageIndex to extract sensitive document data.

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.