CVE-2026-87017

Summary The built-in knowledge search tool returns knowledge bases the calling user has no access to. The tool works out which knowledge bases the caller may read and hands that set to the vector store as a search filter, and that filter is the only access control on the path. Most of the shipped vector backends accept the filter argument on their search method and never apply it, so the search returns matches from every knowledge base in the shared collection. The sibling query method on those same backends does apply a filter, which is why the omission is invisible from the calling code. Preconditions - The deployment must use one of the affected vector backends, selected with VECTOR_DB, which defaults to chroma. Chroma applies the filter, so a default deployment is not affected. - Eleven of the fifteen shipped backends ignore the filter: both Qdrant clients, Elasticsearch, OpenSearch, both Milvus clients, openGauss, Oracle 23ai, Pinecone, S3 Vectors and Weaviate. Chroma, pgvector, MariaDB and Valkey apply it and were never affected. - The caller needs a model that can call tools, with the knowledge built-in tools left enabled, which is the default, and with no knowledge attached to the model itself. No elevated role or permission is required. - At least one knowledge base must exist that the caller cannot otherwise read. Impact A user receives the identifier, name and description of knowledge bases that were never shared with them, and chooses how many results to ask for, so the set can be enumerated by varying the query. The affected collection stores one entry per knowledge base whose text is its name and description, so where those values are themselves sensitive, for example when they name a customer, a project or an investigation, that disclosure is the loss. The exposure is confined to that metadata. Document text lives in separate per-knowledge-base collections reached by a different call that is scoped by collection rather than by this filter, so store

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