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

Exploitation

No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.

CVSS

not scored

EPSS

• CVE-2026-60090: 0.70% estimated exploitation activity in the next 30 days; percentile 53.30 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.

As published by the source; long descriptions are shortened.

PGVector and Cassandra knowledge stores interpolate vector dimensions into DDL Summary The PGVector and Cassandra knowledge-store backends validate SQL/CQL identifiers such as schema, keyspace, and collection names, but still insert the caller-controlled dimension argument directly into CREATE TABLE vector column declarations. A caller that can influence collection creation dimensions can append SQL/CQL tokens to the generated DDL executed by the database driver. Technical Details The affected boundary is the vector-store collection creation API. The shared KnowledgeStore.createcollection() contract declares dimension: int, but Python type hints are not enforced at runtime. Backends that interpolate that value into DDL must validate the runtime value before constructing SQL/CQL. src/praisonai/praisonai/persistence/knowledge/pgvector.py already treats DDL identifier interpolation as security-sensitive: init() calls validateidentifier(schema, name="schema"), and tablename() calls…

Published by the source

8 Oct 2026, 17:17 UTC

Last modified by the source

15 Oct 2026, 14:56 UTC

Source last checked

26 Oct 2026, 13:55 UTC

1. Revision 3 · amended · 26 Oct 2026

   Amended from ghsa record GHSA-wf65-4jjx-q444

2. Revision 2 · amended · 24 Oct 2026

   Amended from osv record GHSA-wf65-4jjx-q444

3. Revision 1 · created · 23 Oct 2026

   Published from ghsa record GHSA-wf65-4jjx-q444

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# Patch Next advisory brief: CVE-2026-60090

Advisory: PraisonAI: PGVector and Cassandra knowledge stores interpolate vector dimensions into DDL
IDs: CVE-2026-60090, GHSA-wf65-4jjx-q444
Record: https://patchnext.com/advisories/cve-2026-60090 (revision 3, source checked 26 Oct 2026, 13:55 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: Unrated
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor fix available; fixed versions by package: praisonai 4.6.78. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI praisonai: affected <= 4.6.77; fixed in 4.6.78

## Suggested inspection (read-only)
- `python -m pip show praisonai`: prints the installed version. Run with the environment that serves production active.

## Supported action
Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on praisonai.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://github.com/advisories/GHSA-wf65-4jjx-q444 (GitHub-reviewed advisory GHSA-wf65-4jjx-q444 lists affected ranges: PyPI praisonai >=0 <=4.6.77)
- Verified: https://osv.dev/vulnerability/GHSA-wf65-4jjx-q444 (OSV record GHSA-wf65-4jjx-q444 lists affected ranges: PyPI praisonai >=0 <4.6.78 (fixed))

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