GPTDiscord — agentic threat model
GPTDiscord presents a moderate agentic risk profile, primarily driven by its integration into Discord servers with moderation capabilities and custom knowledge base access. The main risks stem from prompt injection leading to unauthorized data access or moderation bypass, exacerbated by its open-source nature and lack of built-in sandboxing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.80 | |
| 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.
Utilizes OpenAI's ChatGPT and image generation models. Primary threats include adversarial prompt injection to bypass AI moderation, model reprogramming, and generating misaligned or harmful content within Discord channels.
Supports custom knowledge bases and YouTube summarization. Threats include knowledge-base poisoning via malicious documents, data exfiltration of private server data through prompt injection, and embedding inversion.
Orchestrates tools like image generation, YouTube summarization, and AI moderation. Threats include insecure tool integration, tool misuse (e.g., abusing the summarizer to fetch malicious URLs), and memory poisoning within chat histories.
Not certain from the listing — hosting details, secrets management for Discord tokens/OpenAI keys, and sandboxing are not specified in the public directory listing. Standard threats include credential theft and container compromise if self-hosted insecurely.
Not certain from the listing — specific evaluation, logging, and observability frameworks are not detailed, though AI moderation is present. Gaps here could lead to undetected prompt injection attacks or silent failures in moderation.
Not certain from the listing — compliance standards, identity/authorization policies, and audit logs are not detailed beyond standard Discord bot permissions. Risks include over-privileged bot tokens allowing unauthorized administrative actions.
Not certain from the listing — no explicit multi-agent coordination or marketplace interactions are mentioned, though it operates in a multi-user Discord ecosystem where it could interact with other bots, leading to cascading command execution risks.
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.