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CVE-2026-60090: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in MervinPraison PraisonAI

0
Critical
VulnerabilityCVE-2026-60090cvecve-2026-60090
Published: 07/11/2026 (07/11/2026, 13:01:00 UTC)
Source: CVE Database V5
Vendor/Project: MervinPraison
Product: PraisonAI

Description

PraisonAI versions prior to 4.6.78 contain a critical SQL injection vulnerability in the create_collection() function of the PGVector and Cassandra knowledge-store backends. The vulnerability arises because the dimension argument, although declared as an integer, is not enforced at runtime and is directly interpolated into the CREATE TABLE DDL statement. This allows an attacker controlling the dimension parameter to inject malicious SQL or CQL commands, potentially leading to destructive database operations such as dropping tables.

CVSS v4.0

Score 9.3critical

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
None
User Interaction
None
Vuln. Confidentiality
High
Vuln. Integrity
High
Vuln. Availability
High
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Affected software

GitHub Actionsmore threats →ai
mervinpraison/PraisonAI
pkg:github/mervinpraison/PraisonAI
Affected versions
<4.6.78

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/11/2026, 13:48:16 UTC

Technical Analysis

CVE-2026-60090 is a critical SQL injection vulnerability affecting MervinPraison's PraisonAI product before version 4.6.78. The flaw exists in the create_collection() backends for PGVector and Cassandra knowledge stores, where the dimension parameter is not properly validated or enforced as an integer at runtime. This parameter is directly embedded into the vector column definition of the CREATE TABLE DDL statement. An attacker able to influence this dimension value can inject arbitrary SQL/CQL commands, such as terminating the statement and appending a DROP TABLE command, leading to potential data destruction or compromise.

Potential Impact

Successful exploitation allows an unauthenticated attacker to execute arbitrary SQL or CQL commands on the underlying database, including destructive operations like dropping critical tables (e.g., tenant_secrets). This can result in data loss, service disruption, and compromise of sensitive information. The vulnerability has a CVSS 4.0 score of 9.3 (critical), indicating high impact with no required privileges or user interaction.

Mitigation Recommendations

No official patch or remediation guidance is currently available from the vendor. Users should upgrade to PraisonAI version 4.6.78 or later once released, as this version presumably addresses the vulnerability. Until a fix is available, avoid exposing the create_collection() functionality to untrusted inputs or restrict access to trusted users only. Monitor vendor advisories for updates on official fixes or temporary mitigations.

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Technical Details

Data Version
5.2
Assigner Short Name
VulnCheck
Date Reserved
2026-07-08T12:14:28.344Z
Cvss Version
4.0
State
PUBLISHED
Remediation Level
null

Threat ID: 6a52461668715ace43df4a85

Added to database: 07/11/2026, 13:33:10 UTC

Last enriched: 07/11/2026, 13:48:16 UTC

Last updated: 07/11/2026, 14:24:58 UTC

Views: 6

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