GHSA-3643-7v76-5cj2 PraisonAI knowledge-store backends interpolate unvalidated collection names into SQL and CQL queries
SummaryPraisonAI exposes optional SQL/CQL-backed knowledge-store implementations that build table and index identifiers from unvalidated `name` and `collection` arguments. Applications that pass untrusted collection names into these backends can trigger SQL or CQL injection.DetailsThis issue affects the public persistence layer exported by [persistence/__init__.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/__init__.py:1), which exposes `KnowledgeStore` and `create_knowledge_store()`. The factory wires the affected backends as supported knowledge-store providers in [[persistence/factory.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/factory.py:112)](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/[persistence/factory.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/factory.py:162):112):`pgvector` at [[persistence/factory.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/factory.py:170)](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/[persistence/factory.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/factory.py:186):162)`cassandra` at [persistence/factory.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/factory.py:170)`singlestore_vector` at [persistence/factory.py](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/factory.py:186)The common root cause is that the `KnowledgeStore` interface accepts free-form collection names in `create_collection()`, `delete_collection()`, `insert()`, `upsert()`, `search()`, `get()`, `delete()`, and `count()` at [[persistence/knowledge/base.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/base.py:44)](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/base.py:44), but the affected backends interpolate those values directly into query text instead of validating or quoting them.Representative sinks:`SingleStoreVectorKnowledgeStore` builds `table_name = f"{self.table_prefix}{name}"` and executes raw DDL in [[persistence/knowledge/singlestore_vector.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/singlestore_vector.py:92)](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/singlestore_vector.py:92). The same pattern is reused for `delete_collection`, `insert`, `upsert`, `search`, `get`, `delete`, and `count`.`PGVectorKnowledgeStore` builds `public.praison_vec_{collection}` and `idx_{name}_embedding` directly into SQL in [[persistence/knowledge/pgvector.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/pgvector.py:82)](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/pgvector.py:82).`CassandraKnowledgeStore` interpolates `name` and `collection` directly into `CREATE TABLE`, `DROP TABLE`, `INSERT`, `SELECT`, `DELETE`, and `COUNT` statements in [[persistence/knowledge/cassandra.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/cassandra.py:73)](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/knowledge/cassandra.py:73).There is already an internal identifier validator in the conversation persistence layer:`validate_identifier()` only allows alphanumeric characters and underscores in [[persistence/conversation/base.py](https://github.com/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/conversation/base.py:18)](/Users/shmulc/Stuff/tmp/first-cve/scans/variant-hunt/PraisonAI/src/praisonai/praisonai/persistence/conversation/base.py:18)That validator is used for SQL identifiers such as `table_prefix` and `schema` in the conversation stores, but no equivalent validation is applied in the affected knowledge-store backends.Version scope:`pgvector.py` and `cassandra.py` were already present by `v2.4.1``singlestore_vector.py` was present by `v2.4.3`the current PyPI release on May 1, 2026 is `4.6.33`, and the same interpolation patterns are still presentScope note for maintainers: I did not identify a built-in PraisonAI HTTP endpoint that forwards external request data into these specific persistence methods. The issue is in the package's public persistence APIs and affects applications that pass untrusted collection names to the affected backends.PoCThe following local reproductions show that attacker-controlled collection names become part of the executed SQL text.Reproduce the `SingleStoreVectorKnowledgeStore.delete_collection()` query construction:Observed result:Reproduce the `PGVectorKnowledgeStore.create_collection()` query construction:Observed result includes:The Cassandra backend follows the same pattern in its `CREATE TABLE`, `DROP TABLE`, `INSERT`, `SELECT`, and `DELETE` statements.ImpactThis issue affects applications that use PraisonAI's optional SQL/CQL knowledge-store backends and pass untrusted collection names into them.Potential impact depends on backend and driver behavior, but includes:malformed queries and backend errorsaccess to unintended tables or indexesexecution of attacker-influenced SQL or CQL text where the backend/driver accepts the resulting statement shapeI did not confirm direct exposure through PraisonAI's built-in HTTP server surfaces, so this is best understood as a vulnerability in the package's public persistence APIs rather than a turnkey remote exploit in the default application server.
CVSS v3.1 score: 6.3