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SubmitWell — agentic threat model

6.9AIVSS 6.9 · Medium

SubmitWell is a low-to-moderate risk automation agent focused on SEO directory submissions; its primary security exposures involve potential abuse for spamming, indirect prompt injection from target directories, and SSRF risks during domain rating checks.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.8AARS uplift 1.09Factor sum 2.6/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.30
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.20
Contextual Awareness
0.30
Dynamic Identity
0.20
Multi-Agent Interactions
0.00
Non-Determinism
0.30
Opacity & Reflexivity
0.20

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 — likely uses standard LLMs to rewrite or adapt startup descriptions for various directory categories. Threats include prompt injection leading to generation of spammy or policy-violating descriptions.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — stores customer website metadata, target directory lists, and submission history. Threats include unauthorized access to customer submission data or poisoning of the target directory database.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestrates form-filling and submission workflows across 200+ sites. Threats include insecure tool integration where malicious directory forms could trigger unexpected behavior in the automation parser.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — requires outbound web access to submit forms and check Domain Ratings. Threats include Server-Side Request Forgery (SSRF) during DR checking or IP blacklisting due to automated submission traffic.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — likely monitors submission success rates and DR changes. Gaps in logging could allow silent submission failures or undetected abuse of the submission engine.

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

Not certain from the listing — no security certifications or access controls are detailed. Risks include lack of rate limiting, allowing malicious actors to use the service to spam directories with malicious links.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — operates as a standalone automation tool interacting with external web directories. Risks include directory anti-bot measures blocking the agent or malicious directories exploiting the browser automation tool.

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