Offer Bull — agentic threat model
Offer Bull is a low-autonomy, human-in-the-loop interview assistant presenting low systemic risk, with primary threats centered around the privacy of candidate PII, real-time audio data exfiltration, and potential prompt injection leading to sabotaged interview responses.
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 | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 foundation models for speech-to-text and text generation. Main threats include prompt injection via interview questions designed to hijack the model, and output hallucinations that could sabotage the candidate's interview.
Not certain from the listing — must ingest real-time audio or text transcripts of interviews, alongside candidate resumes. Threats include unauthorized retention or exfiltration of sensitive personal data (PII) and proprietary interview questions.
Not certain from the listing — likely uses a lightweight orchestration framework to map audio transcripts to prompt templates. Threats include insecure session state management and context leakage across different interview sessions.
Not certain from the listing — likely deployed as a web application or browser extension. Threats include insecure WebSocket connections for real-time audio streaming and standard web application vulnerabilities like cross-site scripting (XSS).
Not certain from the listing — no mention of real-time guardrails or output filtering. Threats include a lack of monitoring for toxic, biased, or highly inaccurate generated answers during live high-stakes scenarios.
Not certain from the listing — no compliance certifications (such as GDPR or SOC2) are mentioned. Threats include lack of explicit consent mechanisms for recording/processing third-party interviewer audio, posing legal and compliance risks.
The agent operates as a standalone vertical tool for a single user and does not interact with other agents or marketplaces. Threat of multi-agent cascading failures is 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.