CVE-2026-41497
Remote Code Execution in PraisonAI Multi-Agent System
Publication date: 2026-05-08
Last updated on: 2026-05-08
Assigner: GitHub, Inc.
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| praison | praisonai | to 4.6.9 (exc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-77 | The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. |
| CWE-78 | The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. |
Attack-Flow Graph
AI Powered Q&A
How can this vulnerability impact me? :
This vulnerability can have severe impacts including full remote code execution on the host running PraisonAI. Attackers who can influence MCP server configurations can execute arbitrary commands, potentially leading to data exfiltration, unauthorized system access, and lateral movement within the network.
Because the vulnerability allows execution of arbitrary executables and commands without proper validation, it can compromise confidentiality, integrity, and availability of the affected system.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
Detection of this vulnerability involves monitoring for execution of MCP server commands that include arbitrary or disallowed executables and suspicious inline code execution flags.
You can look for commands invoking executables like bash, python, or /bin/sh with inline code execution flags in logs or process lists.
- Check running processes for suspicious commands using: ps aux | grep -E 'bash|python|/bin/sh'
- Search application logs or MCP server configuration files for commands containing shell metacharacters or inline code flags, e.g., grep -E "python.*-c|bash.*-c" /path/to/logs/*
- Monitor network traffic for unusual command execution patterns or unexpected MCP server commands.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation involves applying a strict allowlist of permitted executables for MCP server commands and validating command inputs.
Specifically, update PraisonAI to version 4.6.9 or later where the vulnerability is patched.
- Implement command validation that parses commands, extracts the executable basename, and checks it against an allowlist of safe executables.
- Reject commands containing shell metacharacters or inline code execution flags.
- Wrap command parsing in error handling to prevent execution of disallowed commands.
These steps prevent arbitrary code execution by ensuring only approved commands are executed by the MCP server.
Can you explain this vulnerability to me?
CVE-2026-41497 is a command injection vulnerability in the PraisonAI package. It arises because the function parse_mcp_command() does not properly validate commands before executing them. Specifically, it lacks a command allowlist, does not validate executable paths, and fails to inspect arguments for dangerous patterns such as shell metacharacters or inline code execution flags.
This allows attackers to execute arbitrary system commands remotely by passing malicious commands like python -c 'import os; os.system("id")' or bash -c 'cat /etc/passwd' through the MCP server commands, leading to full remote code execution.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
CVE-2026-41497 allows arbitrary command execution on the host running PraisonAI, enabling full remote code execution, data exfiltration, and lateral movement by attackers. Such unauthorized access and data breaches can lead to violations of data protection regulations like GDPR and HIPAA, which mandate strict controls over personal and sensitive data.
Because this vulnerability can result in unauthorized disclosure or manipulation of sensitive information, organizations using affected versions of PraisonAI may fail to meet compliance requirements related to data confidentiality, integrity, and security.
Remediation by implementing a strict allowlist and command validation is critical to mitigate these risks and help maintain compliance with these standards.