Geordy — agentic threat model
Geordy presents a moderate agentic risk primarily due to its automated hosting and subdomain integration capabilities, which could be exploited to distribute poisoned AI-first metadata (e.g., llms.txt) to downstream AI search engines and agents.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 specific foundation models used to parse and generate the structured files are not disclosed. However, they are potentially vulnerable to indirect prompt injection if the source website contains adversarial text designed to manipulate the generated output files.
Geordy ingests website content to generate structured files. Threats include data poisoning (manipulating the source website to poison the generated AI-first files) and lack of data provenance verification.
Not certain from the listing — The orchestration framework is not specified. However, the automated scheduling and file generation pipeline could be vulnerable to insecure tool integration if the crawler or file-writer lacks strict input validation.
Geordy hosts files on its own servers or integrates with user subdomains. Threats include subdomain takeover, insecure API keys for hosting integrations, and server-side request forgery (SSRF) during website crawling.
Not certain from the listing — No monitoring, guardrails, or evaluation mechanisms are mentioned. This creates a blind spot where corrupted or poisoned structured files could be hosted publicly without detection.
Not certain from the listing — There is no mention of authentication, authorization, or compliance standards (like SOC2) for managing subdomain DNS records or hosting configurations.
Geordy directly feeds the AI ecosystem by generating files specifically for consumption by other AI agents and search engines. A compromise here could lead to cascading failures, where downstream AI agents ingest poisoned llms.txt or metadata files, leading to widespread indirect prompt injection.
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.