CVE-2026-44337: CWE-20: Improper Input Validation in MervinPraison PraisonAI
PraisonAI is a multi-agent teams system. From version 2.4.1 to before version 4.6.34, PraisonAI exposes optional SQL/CQL-backed knowledge-store implementations that build table and index identifiers from unvalidated name and collection arguments. Applications that pass untrusted collection names into these backends can trigger SQL or CQL injection. This issue has been patched in version 4.6.34.
AI Analysis
Technical Summary
PraisonAI, a multi-agent teams system by MervinPraison, had a vulnerability (CVE-2026-44337) due to improper input validation (CWE-20) in its optional SQL/CQL-backed knowledge-store implementations. Specifically, from versions 2.4.1 to before 4.6.34, the system constructed table and index identifiers from unvalidated name and collection arguments. When applications passed untrusted collection names, this could trigger SQL or CQL injection (CWE-89). The vulnerability is addressed in version 4.6.34.
Potential Impact
Successful exploitation could allow an attacker with low privileges and no user interaction to cause limited confidentiality, integrity, and availability impacts by injecting malicious SQL or CQL commands through untrusted collection names. This could lead to unauthorized data access or modification and potential service disruption. However, no known exploits are currently reported in the wild.
Mitigation Recommendations
Upgrade PraisonAI to version 4.6.34 or later, where this vulnerability has been patched. Since this is an on-premises product, applying the official update is necessary to remediate the issue. Patch status is confirmed by the vendor's advisory indicating the fix in version 4.6.34.
CVE-2026-44337: CWE-20: Improper Input Validation in MervinPraison PraisonAI
Description
PraisonAI is a multi-agent teams system. From version 2.4.1 to before version 4.6.34, PraisonAI exposes optional SQL/CQL-backed knowledge-store implementations that build table and index identifiers from unvalidated name and collection arguments. Applications that pass untrusted collection names into these backends can trigger SQL or CQL injection. This issue has been patched in version 4.6.34.
CVSS v3.1
Score 6.3medium
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
PraisonAI, a multi-agent teams system by MervinPraison, had a vulnerability (CVE-2026-44337) due to improper input validation (CWE-20) in its optional SQL/CQL-backed knowledge-store implementations. Specifically, from versions 2.4.1 to before 4.6.34, the system constructed table and index identifiers from unvalidated name and collection arguments. When applications passed untrusted collection names, this could trigger SQL or CQL injection (CWE-89). The vulnerability is addressed in version 4.6.34.
Potential Impact
Successful exploitation could allow an attacker with low privileges and no user interaction to cause limited confidentiality, integrity, and availability impacts by injecting malicious SQL or CQL commands through untrusted collection names. This could lead to unauthorized data access or modification and potential service disruption. However, no known exploits are currently reported in the wild.
Mitigation Recommendations
Upgrade PraisonAI to version 4.6.34 or later, where this vulnerability has been patched. Since this is an on-premises product, applying the official update is necessary to remediate the issue. Patch status is confirmed by the vendor's advisory indicating the fix in version 4.6.34.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-05-05T19:52:59.147Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69fdede9cbff5d8610dd28d4
Added to database: 05/08/2026, 14:06:33 UTC
Last enriched: 05/08/2026, 14:22:11 UTC
Last updated: 07/31/2026, 19:22:59 UTC
Views: 117
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