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AntForms — agentic threat model

6.7AIVSS 6.7 · Medium

AntForms appears to be a traditional SaaS form builder with rule-based conditional logic rather than an autonomous AI agent, presenting minimal agentic risk but standard SaaS risks related to PII data collection and storage.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 0.24Factor sum 0.7/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.20
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 — AntForms is described as a form builder with conditional logic and analytics, with no explicit mention of LLMs or foundation models. If LLMs are used for generating insights, threats would include prompt injection or training data leakage.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform stores form submissions and analytics data. Primary threats are database compromise, unauthorized data access, and lack of encryption at rest/in transit for collected PII, rather than vector store or RAG-specific attacks.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — There is no indication of an agent framework (like LangChain or AutoGPT) being used; the 'conditional logic and branching' appears to be standard rule-based form logic rather than autonomous agent planning.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — As a closed-source SaaS, infrastructure details are proprietary. Standard cloud hosting threats apply, including container security, database access controls, and protection against DDoS on form submission endpoints.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No AI-specific evaluation or observability guardrails are mentioned. Standard application logging and analytics are present but their security monitoring capabilities are unspecified.

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

Not certain from the listing — Compliance posture (such as GDPR or HIPAA, which are critical for form data collection) is not detailed. Risk of unauthorized access to collected lead generation data due to lack of explicit access control details.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The platform operates as a standalone SaaS form builder with no described multi-agent or marketplace integrations.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).