ReviseCV — agentic threat model
ReviseCV is a low-autonomy, document-focused AI assistant with minimal agentic risk, primarily presenting data privacy (PII) and document parsing security risks rather than systemic agentic threats.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.30 | |
| 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 commercial LLMs via API for resume rewriting and cover letter generation. Primary threats include prompt injection via user-provided job descriptions and potential leakage of system instructions.
Not certain from the listing — processes highly sensitive PII (resumes, contact info, work history). Risks include insecure storage of uploaded documents, lack of data retention controls, and potential parsing vulnerabilities (e.g., PDF/DOCX exploits).
Not certain from the listing — orchestration is likely a straightforward linear pipeline (input -> LLM -> template rendering) rather than a complex agentic framework. Main threat is indirect prompt injection from untrusted job descriptions.
Not certain from the listing — standard web application hosting. Threats include insecure cloud storage buckets containing user resumes, lack of isolation in document generation environments, and typical web application vulnerabilities.
Not certain from the listing — likely lacks advanced LLM-specific observability. Risks include a lack of detection for adversarial inputs designed to break the resume parser or inject malicious content into generated PDFs.
Not certain from the listing — requires user authentication for the freemium model. Key threats include broken object-level authorization (accessing other users' resumes) and non-compliance with privacy regulations like GDPR/CCPA regarding PII deletion.
Not certain from the listing — operates as a standalone horizontal tool with no indicated multi-agent or ecosystem integrations. Ecosystem threats are currently negligible.
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.