Unsafe Dependency Resolution Affecting praisonai package, versions [,4.6.38)
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-17283293
- published10 Jun 2026
- disclosed29 May 2026
- creditSnailSploit | Kai Aizen
Introduced: 29 May 2026
NewCVE-2026-47398 (opens in a new tab)How to fix?
Upgrade PraisonAI to version 4.6.38 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 Unsafe Dependency Resolution in the load_tools_from_module and load_tools_from_module_class functions, which accept a module_path parameter from YAML configuration and execute it using spec.loader.exec_module without validation or gating. An attacker can execute arbitrary code with the privileges of the running process by supplying a crafted module path via a writable configuration directory, remote recipe fetch, or prompt injection.
Note: This is only exploitable if an attacker can control the YAML configuration or place a malicious Python file accessible to the process.