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SiteGPT — agentic threat model

7.5AIVSS 7.5 · High

SiteGPT presents a moderate-to-high risk profile primarily due to its public-facing nature as an embedded website widget and its integrations with helpdesk and cloud storage tools. The primary attack vectors include knowledge-base poisoning via malicious URL scanning or file uploads, and prompt injection leading to unauthorized tool execution or phishing of end-users.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.82Factor sum 3.3/10Threat ×1.0Mitigation ×0.9
Autonomy of Action
0.40
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.20
Contextual Awareness
0.60
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
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✓ mapped

Utilizes advanced foundation models (GPT-4o, GPT-4o-mini) which are susceptible to prompt injection, system prompt extraction, and indirect prompt injection via the retrieved website content.

L2 · Data Operations✓ mapped

Performs RAG using URL scanning, file uploads, and cloud storage integrations. This introduces significant risks of data poisoning (e.g., scanning a compromised URL containing malicious instructions) and potential exfiltration of sensitive uploaded documents.

L3 · Agent Frameworks✓ mapped

Orchestrates user queries with helpdesk and cloud storage integrations. Insecure tool integration could allow an attacker to craft inputs that trigger unauthorized API calls to connected helpdesk systems.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — details regarding the hosting environment, sandboxing of file parsers, and secure storage of API keys for helpdesk and cloud integrations are not specified.

L5 · Evaluation & Observability✓ mapped

Provides live analytics and human escalation, which can help detect anomalies, but lacks explicit mention of automated guardrails, prompt injection detection, or output filtering.

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

Not certain from the listing — compliance certifications (such as SOC 2 or GDPR compliance) and access control mechanisms for the administrative dashboard are not detailed in the public directory.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — while it integrates with external APIs (helpdesk, cloud storage), there is no explicit mention of multi-agent orchestration or agent-to-agent marketplaces.

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.