Droxy AI — agentic threat model
Droxy AI is a RAG-driven chatbot platform with moderate risk, primarily stemming from potential knowledge-base poisoning via user-uploaded content and prompt injection risks leading to data exfiltration or unauthorized actions on integrated platforms like Discord.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| 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.
Not certain from the listing — The platform uses 'ChatGPT-powered' models. Threats include prompt injection, adversarial manipulation, and misaligned outputs, but the specific model versions and alignment guardrails are not disclosed.
Users upload diverse resources (PDFs, videos, website content) to build the chatbot's knowledge base. This introduces significant risks of data/knowledge-base poisoning, where malicious or manipulated files are uploaded to alter the bot's behavior or exfiltrate sensitive data via indirect prompt injection.
The platform orchestrates RAG and persona settings. Vulnerabilities include insecure integration of the RAG pipeline, potential prompt leakage, and manipulation of the chatbot's persona/instructions through user inputs.
Not certain from the listing — Droxy AI is a hosted SaaS platform. Risks include insecure storage of uploaded files (PDFs, videos), lack of sandboxing during document parsing/extraction, and potential container or host compromise.
Not certain from the listing — There is no mention of built-in guardrails, interaction logging, anomaly detection, or evaluation frameworks to monitor chatbot behavior and detect malicious inputs.
Not certain from the listing — The listing does not specify compliance standards (e.g., GDPR, SOC2), access control mechanisms for uploaded data, or authentication protocols for managing the chatbot configurations.
The platform integrates with external ecosystems like Discord and websites. A compromised or manipulated chatbot could be used to distribute spam, launch social engineering attacks, or interact maliciously with other users and bots within those ecosystems.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).