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

[ Why it matters ]Priority signals

• Public proof-of-concept exploit exists (CISA SSVC)
• Critical severity: CVSS 9.8

[ Description ]Official 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.

[ Fixes ]Fixes and patches

• praisonai 4.6.78Fixed version · GitHub Advisories · pip package praisonai: upgrade to 4.6.78 or later (affected <= 4.6.77)

[ Packages ]Affected open-source packages

• praisonai pipAffected <= 4.6.77 · fixed in 4.6.78 · GHSA-wf65-4jjx-q444

[ References ]References

• github.com/MervinPraison/PraisonAI/security/advisories/GHSA-wf65-4jjx-q444vendor-advisory
• github.com/MervinPraison/PraisonAI/commit/3aa9cbc2bd49c23a32be0a89a5e620d13d843eabpatch
• www.vulncheck.com/advisories/praisonai-before-sql-cql-injection-via-vector-dimensionthird-party-advisory