Vulnerability · Published Jul 11, 2026 · Assigned by VulnCheck

CVE-2026-60090PraisonAI before 4.6.78 SQL/CQL Injection via vector dimension

Critical 9.8

In plain English

A critical-severity SQL injection in PraisonAI from MervinPraison. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.7% (higher than 53% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)9.8Critical

Exploit odds (30 days)0.7%top 46.6% of all CVEs

Exploited in the wildNo reportsCISA SSVC: poc

Attack toolingNoneno public tooling known

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.

Affected packages & fixed versions

Ecosystem	Package	Fixed in	Advisory
PyPI	praisonai	4.6.78	GHSA-wf65-4jjx-q444
PyPI	praisonai	4.6.78	PYSEC-2026-4260

Affected products (as reported)

Vendor	Product	Versions
MervinPraison	PraisonAI	0 – before 4.6.78

Weakness: CWE-89 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

References

GitHub Security Advisory (GHSA-wf65-4jjx-q444) vendor-advisory
https://github.com/MervinPraison/PraisonAI/commit/3aa9cbc2bd49c23a32be0a89a5e620d13d843eab patch
VulnCheck Advisory: PraisonAI before 4.6.78 SQL/CQL Injection via vector dimension third-party-advisory