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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 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.

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: 07/18/2026, 15:11:52 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() backend implementations for PGVector and Cassandra knowledge stores, where the dimension argument is not properly validated at runtime despite being declared as an integer. This unchecked interpolation of the dimension value into the vector column of the CREATE TABLE DDL statement allows an attacker to inject malicious SQL or CQL commands. For example, an attacker could supply a crafted string like '3); DROP TABLE tenant_secrets; --' to execute arbitrary database commands, potentially compromising data integrity and availability.

Potential Impact

Successful exploitation of this vulnerability can lead to arbitrary SQL or CQL command execution within the database context used by PraisonAI. This can result in unauthorized data manipulation, including deletion of critical tables such as tenant_secrets, leading to data loss or service disruption. The vulnerability requires no privileges or user interaction and has a high attack vector (network), making it highly exploitable remotely.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, avoid passing untrusted input to the dimension parameter in create_collection() calls. Implement input validation or sanitization on the dimension argument to ensure it is a valid integer before use. Monitor vendor channels for updates and apply patches promptly once available.

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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: 07/18/2026, 15:11:52 UTC

Last updated: 08/25/2026, 10:52:10 UTC

Views: 133

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