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← NewTool - Rising Star Hub

NewTool - Rising Star Hub — agentic threat model

4.9AIVSS 4.9 · Medium

NewTool is a low-risk, AI-powered directory and launchpad with minimal agentic autonomy. The primary security risks are limited to prompt injection for SEO manipulation, malicious tool submissions, and standard web application vulnerabilities.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 0.56Factor sum 1.1/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.10
Contextual Awareness
0.20
Dynamic Identity
0.00
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 commercial LLMs via API for text generation and categorization. Threats include prompt injection to manipulate tool descriptions or rankings.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — likely maintains a database of submitted tools and startups. Threats include database poisoning via malicious submissions or SEO spam.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — likely uses a simple orchestration framework or basic API wrappers for categorization. Threats include insecure tool integration if it automatically scrapes submitted URLs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — likely hosted on standard cloud infrastructure (e.g., AWS, Vercel). Threats include typical web app vulnerabilities and API key exposure.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — likely lacks advanced LLM-specific guardrails, relying on basic input validation. Threats include undetected drift or prompt injection bypasses.

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

Not certain from the listing — no compliance certifications (like SOC2) or advanced access controls are mentioned. Threats include unauthorized submission modifications.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — does not appear to interact with other autonomous agents, but acts as a directory for other AI tools. Threats are limited to referral of compromised third-party tools.

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.