CVE-2026-4515 Overview
A code injection vulnerability has been discovered in Foundation Agents MetaGPT affecting versions up to and including 0.8.1. This vulnerability exists in the code_generate function located in the file metagpt/ext/aflow/scripts/operator.py. The flaw allows remote attackers to inject and execute arbitrary code through improper input handling. The exploit has been publicly disclosed, and the vendor was contacted but did not respond to the disclosure.
Critical Impact
Remote attackers can exploit this code injection vulnerability to execute arbitrary code on systems running affected versions of MetaGPT, potentially leading to unauthorized access, data theft, or complete system compromise.
Affected Products
- Foundation Agents MetaGPT versions up to 0.8.1
- Systems utilizing the metagpt/ext/aflow/scripts/operator.py module
- Deployments with the code_generate function exposed to untrusted input
Discovery Timeline
- 2026-03-21 - CVE-2026-4515 published to NVD
- 2026-03-23 - Last updated in NVD database
Technical Details for CVE-2026-4515
Vulnerability Analysis
This vulnerability is classified as CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as Injection. The code_generate function in MetaGPT's aflow scripts module fails to properly sanitize or validate input before processing it, allowing attackers to inject malicious code that gets executed within the application context.
MetaGPT is an AI-powered multi-agent framework designed for software development automation. The vulnerable function appears to handle code generation operations, which inherently involves dynamic code execution. When user-controlled input reaches this function without proper validation, it creates an opportunity for code injection attacks.
Root Cause
The root cause of this vulnerability stems from insufficient input validation and sanitization in the code_generate function within metagpt/ext/aflow/scripts/operator.py. The function processes external input that is subsequently used in code execution contexts without proper escaping or filtering of potentially dangerous characters and code constructs. This allows specially crafted input to break out of the intended execution context and inject arbitrary commands.
Attack Vector
The attack can be initiated remotely over the network. An attacker with low privileges can exploit this vulnerability without requiring user interaction. The attack involves manipulating input parameters passed to the code_generate function to include malicious code payloads. When the function processes this input, the injected code is executed within the application's runtime environment.
The vulnerability allows attackers to:
- Execute arbitrary Python code within the MetaGPT runtime
- Access sensitive data processed by the application
- Potentially pivot to other systems within the network
- Modify or delete data handled by the application
For technical details on the exploitation method, refer to the GitHub PoC for RCE and VulDB entry #352080.
Detection Methods for CVE-2026-4515
Indicators of Compromise
- Unusual process spawning from MetaGPT application processes
- Unexpected network connections originating from the MetaGPT runtime
- Suspicious code execution patterns in application logs related to the code_generate function
- Anomalous file system access or modifications by the MetaGPT process
Detection Strategies
- Monitor application logs for unusual input patterns to the code_generate function in operator.py
- Implement runtime application self-protection (RASP) to detect code injection attempts
- Deploy network monitoring to identify suspicious outbound connections from MetaGPT instances
- Use file integrity monitoring on critical system files and MetaGPT installation directories
Monitoring Recommendations
- Enable detailed logging for all MetaGPT aflow script operations
- Configure alerts for any code execution anomalies within the application context
- Monitor system calls and process behavior of the MetaGPT application
- Implement SentinelOne's behavioral AI to detect post-exploitation activities
How to Mitigate CVE-2026-4515
Immediate Actions Required
- Audit usage of the code_generate function in your MetaGPT deployments
- Implement network segmentation to limit exposure of MetaGPT instances
- Apply strict input validation on any data passed to MetaGPT's aflow scripts module
- Consider disabling or restricting access to the affected functionality until a patch is available
Patch Information
At the time of publication, no official patch has been released by the vendor. The vendor was contacted early about this disclosure but did not respond. Users should monitor the official MetaGPT repository for security updates and consider the workarounds below.
For additional information, refer to:
Workarounds
- Restrict network access to MetaGPT instances using firewall rules to trusted sources only
- Implement a Web Application Firewall (WAF) or input filtering proxy in front of MetaGPT deployments
- Run MetaGPT in a sandboxed environment with minimal privileges
- Disable or remove the affected aflow/scripts/operator.py module if not required for your use case
# Example: Restrict network access to MetaGPT instance
# Allow only trusted IP ranges to access the MetaGPT service
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP
# Run MetaGPT with restricted user permissions
useradd -r -s /bin/false metagpt_service
chown -R metagpt_service:metagpt_service /opt/metagpt
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
