Bagoodex — agentic threat model
Bagoodex is primarily an AI-driven search engine with low agentic risk, but it is highly susceptible to indirect prompt injection and data poisoning due to its real-time web crawling and RAG-based synthesis capabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.30 |
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 for natural language understanding and synthesis are not disclosed. However, the model is highly vulnerable to indirect prompt injection embedded in crawled web pages, which could reprogram the model's output during search synthesis.
The agent continuously crawls the web to provide real-time updates, making its data operations highly vulnerable to data/knowledge-base poisoning. Attackers can optimize web pages (adversarial SEO) to inject malicious content or false information directly into the search index and RAG pipeline.
Not certain from the listing — The orchestration framework is not specified. The primary tool integration is the web crawler and search retriever; insecure integration could lead to Server-Side Request Forgery (SSRF) or local file inclusion if the crawler is coerced into accessing internal resources.
Not certain from the listing — No hosting or sandboxing details are provided. The infrastructure must support high-throughput web crawling, which requires robust network isolation to prevent the crawler from being used as a proxy for scanning internal networks.
Not certain from the listing — There is no mention of real-time monitoring, output guardrails, or evaluation metrics to detect and filter out toxic, poisoned, or hallucinated search results before they are presented to the user.
Not certain from the listing — Although tagged as Open Source, there are no details regarding access control, user data privacy policies, or compliance with standards like GDPR/NIST, which is critical given that users input natural language queries.
Not certain from the listing — The agent operates as a standalone search engine and does not appear to participate in multi-agent ecosystems or marketplaces, minimizing cascading agent-to-agent risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).