SQL Injection Affecting praisonai package, versions [,4.5.90)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk IDSNYK-PYTHON-PRAISONAI-15915627
- published6 Apr 2026
- disclosed1 Apr 2026
- creditYeran Gamage
Introduced: 1 Apr 2026
NewCVE-2026-34934 (opens in a new tab)How to fix?
Upgrade PraisonAI to version 4.5.90 or higher.
Overview
PraisonAI is a PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration.
Affected versions of this package are vulnerable to SQL Injection via the get_all_user_threads function. An attacker can gain unauthorized access to sensitive database contents and perform arbitrary database operations by injecting malicious payloads into thread IDs that are later incorporated into raw SQL queries.