CVE-2026-60090: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in MervinPraison PraisonAI
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.
AI Analysis
Technical Summary
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.
CVE-2026-60090: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in MervinPraison 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
Affected software
pkg:github/mervinpraison/PraisonAIRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
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.
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: 08/24/2026, 22:52:12 UTC
Views: 132
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