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LiftmyCV — agentic threat model

8.0AIVSS 8.0 · High

LiftmyCV presents a moderate-to-high risk profile due to its high autonomy (Autopilot mode) and dynamic identity capabilities, acting on behalf of users to submit PII across various third-party job boards via a Chrome extension.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.39Factor sum 5.3/10Threat ×1.05Mitigation ×0.9
Autonomy of Action
0.80
Goal-Driven Planning
0.60
Self-Modification
0.10
Dynamic Tool Use
0.70
Persistent Memory
0.50
Contextual Awareness
0.60
Dynamic Identity
0.80
Multi-Agent Interactions
0.10
Non-Determinism
0.60
Opacity & Reflexivity
0.50

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✓ mapped

Uses ChatGPT-powered technology for cover letter and resume generation. Vulnerable to prompt injection via malicious job descriptions, which could lead to the generation of inappropriate content or system instruction leakage.

L2 · Data Operations✓ mapped

Handles highly sensitive PII (resumes, contact details, work history). Risks include data exfiltration or unauthorized access to the application history and user profile database.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework managing the transition between Autopilot and Copilot modes, and the form-filling logic, may be vulnerable to insecure tool execution if a malicious job portal injects payloads into the form fields.

L4 · Deployment & Infrastructure✓ mapped

Deployed as a Chrome extension and web application. Vulnerabilities in the extension could allow local credential theft, session hijacking of job board accounts, or cross-site scripting (XSS) within the browser context.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — While 'Smart Submission Limits' and 'Application History' exist, there is no evidence of robust guardrails to detect and block submission to fraudulent job postings or phishing sites.

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

Not certain from the listing — Automated job application agents face strict compliance scrutiny under GDPR/CCPA regarding automated decision-making and PII handling; the listing does not specify data retention or encryption standards.

L7 · Agent Ecosystem✓ mapped

Interacts directly with external ATS platforms (LinkedIn, Lever, Workable, etc.). Risks include account suspension or IP banning on these platforms due to automated bot-like behavior violating their Terms of Service.

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.