CVE-2026-47398 in PraisonAI
Summary
by MITRE • 07/21/2026
PraisonAI is a multi-agent teams system. The v4.6.32 chokepoint refactor (which patched CVE-2026-44334 / GHSA-xcmw-grxf-wjhj) added the PRAISONAI_ALLOW_LOCAL_TOOLS env-var gate to the tool_override.py sinks. However, two additional spec.loader.exec_module call sites in praisonai/agents_generator.py were missed and remain completely unguarded in versions prior to 4.6.40. Both functions accept a module_path parameter sourced from YAML configuration and execute it without validation, signature checking, or the env-var gate. Version 4.6.40 fixes the issue.
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Analysis
by VulDB Data Team • 07/21/2026
The vulnerability in PraisonAI v4.6.32 represents a critical code execution flaw that emerged from an incomplete security patching process. While the initial remediation addressed CVE-2026-44334 through the introduction of the PRAISONAI_ALLOW_LOCAL_TOOLS environment variable gate, subsequent analysis revealed that two additional attack vectors remained unpatched in the agents_generator.py module. This oversight created a persistent security gap where malicious actors could exploit the system by manipulating YAML configuration files to load and execute arbitrary Python modules through spec.loader.exec_module calls.
The technical flaw stems from improper input validation within the praisonai/agents_generator.py file where module_path parameters are directly accepted from external YAML configurations without adequate sanitization or security checks. The spec.loader.exec_module function call sites operate without any form of signature verification, path validation, or the protective environment variable gate that was implemented for similar vulnerabilities. This creates a scenario where an attacker can craft malicious YAML configurations that reference local Python modules, which are then executed with the privileges of the running PraisonAI process.
The operational impact of this vulnerability extends beyond simple code execution as it provides attackers with a means to escalate privileges and potentially access sensitive system resources or data. The presence of two separate unpatched exec_module call sites increases the attack surface significantly, allowing for multiple entry points that could be exploited through different configuration pathways. This vulnerability particularly affects systems where YAML configurations are loaded from untrusted sources or when administrators have not properly restricted local tool execution.
The remediation in version 4.6.40 addresses this by implementing the same protective environment variable gate across all exec_module call sites within the agents_generator.py file, ensuring consistent security controls throughout the codebase. This fix aligns with industry best practices for preventing unauthorized code loading and execution, particularly in multi-agent systems where trust boundaries are critical. Organizations should immediately upgrade to version 4.6.40 or later to mitigate this vulnerability, while also implementing additional monitoring for suspicious YAML configuration changes that might attempt to exploit this weakness.
This vulnerability pattern aligns with CWE-74 and CWE-94 categories, representing code injection and improper restriction of operations within a privileged context. The ATT&CK framework would classify this under T1059.006 (Python) and T1548.002 (Abuse Elevation Control Mechanism), as it allows for privilege escalation through code execution. The incomplete patching process highlights the importance of thorough vulnerability assessment and consistent application of security controls across all code paths, particularly in complex systems that handle dynamic module loading operations.