Resume Squad — agentic threat model
Resume Squad presents a moderate security risk primarily due to its handling of sensitive candidate PII and its complex nine-agent swarm architecture, which increases the attack surface for agent-to-agent trust abuse and downstream ATS exploitation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 1.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.60 |
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 utilizes third-party LLMs to analyze text. Primary threats include prompt injection via malicious job descriptions designed to hijack the resume generation process or leak system prompts.
Not certain from the listing — processes highly sensitive candidate PII (contact info, work history). Threats include data exfiltration of uploaded resumes and lack of secure data deletion policies for user-submitted documents.
The orchestration of the nine-agent swarm introduces risks of insecure tool integration, particularly if the resume 'compilation' process uses file-generation libraries (PDF/DOCX) susceptible to path traversal or remote code execution.
Not certain from the listing — as an open-source tool, deployment security depends heavily on the user's hosting environment. Risks include exposed local ports or un-sandboxed execution of the multi-agent framework.
Not certain from the listing — there is no mention of built-in guardrails or observability tools to monitor the swarm's internal reasoning, creating blind spots where sub-agents could fail silently or generate biased content.
Not certain from the listing — handling job seeker PII requires strict adherence to GDPR/CCPA, but the listing does not specify any built-in access controls, encryption at rest, or compliance auditing mechanisms.
The nine-agent autonomous swarm is highly vulnerable to agent-to-agent trust abuse. If one specialized agent (e.g., the job description parser) is compromised by adversarial input, it can propagate malicious payloads to the compiler agent, leading to cascading failures.
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.