SQL Injection Affecting praisonai package, versions [,4.5.149)
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.
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Test your applications- Snyk IDSNYK-PYTHON-PRAISONAI-16318357
- published28 Apr 2026
- disclosed17 Apr 2026
- creditBerSecHub
Introduced: 17 Apr 2026
CVE-2026-41496 (opens in a new tab)How to fix?
Upgrade PraisonAI to version 4.5.149 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 in the handling of the table_prefix and schema parameters in multiple conversation store backends, where these values are interpolated directly into SQL statements without proper validation. An attacker can execute arbitrary SQL commands by supplying crafted input to these parameters, potentially gaining unauthorized access to, modifying, or deleting database contents. This is only exploitable if the table_prefix or schema values are derived from untrusted external sources, such as user-controlled configuration, API requests, or multi-tenant setups.