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Hex — agentic threat model

8.1AIVSS 8.1 · High

Hex presents a high-risk profile primarily due to its capability to execute arbitrary Python and SQL code against connected enterprise data sources. While highly collaborative, the potential for data exfiltration or unauthorized database modification via compromised execution environments is significant.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.52Factor sum 3.5/10Threat ×1.0Mitigation ×0.9
Autonomy of Action
0.30
Goal-Driven Planning
0.20
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.30
Multi-Agent Interactions
0.20
Non-Determinism
0.40
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 — The listing does not explicitly detail the underlying foundation models used for code generation or assistance, though threats would include model reprogramming or malicious code generation.

L2 · Data Operations✓ mapped

Hex connects directly to multiple external data sources and databases. Threats include unauthorized data exfiltration, SQL injection, and data lineage gaps across collaborative workspaces.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework is not specified, but the integration of Python/SQL execution engines presents risks of tool misuse and insecure execution of generated code.

L4 · Deployment & Infrastructure✓ mapped

As a cloud-based workspace executing arbitrary Python and SQL, robust container sandboxing is critical to prevent container escape, privilege escalation, or lateral network movement to other tenants.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The listing does not mention specific AI evaluation, guardrails, or observability tools for monitoring generated code or agent actions.

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

Not certain from the listing — While it is a commercial platform, the listing does not explicitly detail its identity, access control (RBAC), or compliance certifications (like SOC2).

L7 · Agent Ecosystem✓ mapped

Features real-time multiplayer editing and one-click app publishing. Threats include multi-user trust abuse, publishing malicious data apps, or cascading failures in shared workspaces.

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.