← CVnomist Resume tailoring AI
CVnomist Resume tailoring AI — agentic threat model
CVnomist is a low-autonomy, single-purpose utility with minimal agentic risk, primarily presenting data privacy and prompt injection risks due to its handling of sensitive personal resume data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| 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.
Not certain from the listing — likely relies on third-party commercial LLMs. The primary threat is prompt injection via adversarial job descriptions designed to hijack the resume generation process or exfiltrate data.
Not certain from the listing — processes highly sensitive PII (resumes). Key threats include data exfiltration, unauthorized retention of user resumes, and potential leakage if user data is used for model training.
Not certain from the listing — likely uses a basic API wrapper rather than a complex agentic framework. Risk is low, limited to insecure handling of user-provided text inputs.
Not certain from the listing — hosted as a closed-source web application. Standard web application vulnerabilities (OWASP Top 10) and insecure cloud hosting configurations are the primary infrastructure threats.
Not certain from the listing — no mention of guardrails or output verification. This presents a risk of 'hallucinated' skills or credentials being added to resumes without user detection.
Not certain from the listing — handling job applicant data requires strict compliance with GDPR, CCPA, and data privacy regulations, but no compliance certifications or access controls are specified.
Not certain from the listing — operates as an isolated, standalone tool with no indicated multi-agent or marketplace integrations, making ecosystem risks negligible.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).