A AegiFlow
CRITICALCVSS 9.3

GHSA-q65p-7p84-495c

Duplicate Advisory: PraisonAI: PGVector and Cassandra knowledge stores interpolate vector dimensions into DDL

Published
2026-07-11
Modified
2026-10-08
Sources
github-advisory

Summary

### Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-wf65-4jjx-q444. This link is maintained to preserve external references. ### Original Description PraisonAI before 4.6.78 fails to validate the caller-controlled dimension argument in the PGVector and Cassandra knowledge-store create_collection() backends. Although schema, keyspace, and collection-name identifiers are validated, the dimension value (declared as int but not enforced at runtime) is interpolated directly into the vector column of the generated CREATE TABLE DDL. A caller able to influence collection-creation dimensions can pass a string such as '3); DROP TABLE tenant_secrets; --' to inject SQL/CQL tokens into the statement executed by the database driver.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIpraisonai——

Remediation: No patched version is listed by GitHub.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.