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LLM08: Vector and Embedding Weaknesses

LLM08: Vector and Embedding Weaknesses

The application uses a vector embedding model to match user queries with preloaded data in a vector store. Admin can add data to vector store.

Goal: Exploit semantic collision to generate a hidden URL and access the secret flag.

Query LLM Admin Login