CVE-2026-34934: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in MervinPraison PraisonAI
PraisonAI is a multi-agent teams system. Prior to version 4.5.90, the get_all_user_threads function constructs raw SQL queries using f-strings with unescaped thread IDs fetched from the database. An attacker stores a malicious thread ID via update_thread. When the application loads the thread list, the injected payload executes and grants full database access. This issue has been patched in version 4.5.90.
AI Analysis
Technical Summary
PraisonAI versions before 4.5.90 contain an SQL injection vulnerability (CWE-89) in the get_all_user_threads function. The function constructs SQL queries using Python f-strings without escaping thread IDs, which can be manipulated by an attacker who stores a malicious thread ID through the update_thread function. When the thread list is loaded, the injected SQL payload executes, potentially granting the attacker full control over the database. The vulnerability has a CVSS 3.1 score of 9.8, indicating critical severity. The issue is fixed in version 4.5.90.
Potential Impact
Successful exploitation allows an unauthenticated attacker to execute arbitrary SQL commands on the PraisonAI database, resulting in full confidentiality, integrity, and availability compromise of the database. This can lead to data theft, data manipulation, or denial of service. No known exploits in the wild have been reported yet.
Mitigation Recommendations
Upgrade PraisonAI to version 4.5.90 or later, where this SQL injection vulnerability has been patched. Since this is not a cloud service, remediation depends on applying the official fix by updating the software. Patch status is not explicitly stated beyond the version fix, so verify with the vendor advisory for the latest guidance.
CVE-2026-34934: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in MervinPraison PraisonAI
Description
PraisonAI is a multi-agent teams system. Prior to version 4.5.90, the get_all_user_threads function constructs raw SQL queries using f-strings with unescaped thread IDs fetched from the database. An attacker stores a malicious thread ID via update_thread. When the application loads the thread list, the injected payload executes and grants full database access. This issue has been patched in version 4.5.90.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
PraisonAI versions before 4.5.90 contain an SQL injection vulnerability (CWE-89) in the get_all_user_threads function. The function constructs SQL queries using Python f-strings without escaping thread IDs, which can be manipulated by an attacker who stores a malicious thread ID through the update_thread function. When the thread list is loaded, the injected SQL payload executes, potentially granting the attacker full control over the database. The vulnerability has a CVSS 3.1 score of 9.8, indicating critical severity. The issue is fixed in version 4.5.90.
Potential Impact
Successful exploitation allows an unauthenticated attacker to execute arbitrary SQL commands on the PraisonAI database, resulting in full confidentiality, integrity, and availability compromise of the database. This can lead to data theft, data manipulation, or denial of service. No known exploits in the wild have been reported yet.
Mitigation Recommendations
Upgrade PraisonAI to version 4.5.90 or later, where this SQL injection vulnerability has been patched. Since this is not a cloud service, remediation depends on applying the official fix by updating the software. Patch status is not explicitly stated beyond the version fix, so verify with the vendor advisory for the latest guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-03-31T17:27:08.660Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69d046900a160ebd9263e690
Added to database: 4/3/2026, 11:00:32 PM
Last enriched: 4/11/2026, 9:27:08 AM
Last updated: 5/20/2026, 8:52:20 PM
Views: 98
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