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CVE Vulnerability Database

CVE-2026-4516: MetaGPT DataInterpreter RCE Vulnerability

CVE-2026-4516 is a remote code execution flaw in MetaGPT DataInterpreter up to version 0.8.1 that enables attackers to execute arbitrary code through injection. This article covers technical details, affected versions, security impact, and mitigation strategies.

Published:

CVE-2026-4516 Overview

A code injection vulnerability has been identified in Foundation Agents MetaGPT up to version 0.8.1. This vulnerability exists within the write_analysis_code.py file located in the metagpt/actions/di/ directory, which is part of the DataInterpreter component. The flaw allows attackers to inject malicious code through improper input handling, potentially leading to unauthorized code execution within the MetaGPT environment.

Critical Impact

Remote attackers with low-level privileges can exploit this injection vulnerability to execute arbitrary code, potentially compromising data integrity and confidentiality within MetaGPT deployments.

Affected Products

  • Foundation Agents MetaGPT versions up to 0.8.1
  • MetaGPT DataInterpreter component
  • Systems utilizing metagpt/actions/di/write_analysis_code.py

Discovery Timeline

  • March 21, 2026 - CVE-2026-4516 published to NVD
  • March 23, 2026 - Last updated in NVD database

Technical Details for CVE-2026-4516

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 flaw resides in the DataInterpreter component's code analysis functionality within the write_analysis_code.py file. The vulnerability enables network-based attackers to inject malicious payloads that are improperly processed by the application, resulting in unauthorized code execution.

The exploit for this vulnerability has been publicly disclosed, and a proof-of-concept is available in security research repositories. The vendor was contacted early about this disclosure but did not respond, leaving users without an official patch at the time of publication.

Root Cause

The root cause of CVE-2026-4516 stems from insufficient input validation and sanitization in the DataInterpreter's code writing functionality. The write_analysis_code.py module fails to properly neutralize special elements before processing user-controlled input, allowing malicious injection payloads to be interpreted and executed by the downstream processing components.

Attack Vector

The attack can be launched remotely over the network. An attacker with low-level privileges and no user interaction required can craft specially designed input that bypasses the application's security controls. The injected payload is then processed by the DataInterpreter component, resulting in code injection. The attack has the potential to affect the confidentiality, integrity, and availability of the target system with limited impact in each area.

The vulnerability mechanism involves malformed input being passed to the DataInterpreter's code analysis functions without proper sanitization. When this unsanitized input reaches the execution context, the injected code is processed as legitimate instructions. For detailed technical analysis and proof-of-concept information, refer to the GitHub PoC Repository.

Detection Methods for CVE-2026-4516

Indicators of Compromise

  • Unusual process spawning from MetaGPT DataInterpreter components
  • Unexpected network connections originating from MetaGPT services
  • Anomalous file system modifications in or around MetaGPT installation directories
  • Error logs indicating malformed or suspicious input to the write_analysis_code.py module

Detection Strategies

  • Monitor MetaGPT application logs for injection patterns and unusual input sequences
  • Implement runtime application self-protection (RASP) to detect code injection attempts
  • Deploy network-based intrusion detection signatures for known MetaGPT exploitation patterns
  • Use file integrity monitoring on the metagpt/actions/di/ directory to detect unauthorized modifications

Monitoring Recommendations

  • Enable verbose logging for the DataInterpreter component to capture input processing events
  • Configure security information and event management (SIEM) alerts for MetaGPT-related anomalies
  • Establish baseline behavior for MetaGPT processes to identify deviations indicative of exploitation
  • Monitor for reconnaissance activity targeting MetaGPT version identification endpoints

How to Mitigate CVE-2026-4516

Immediate Actions Required

  • Restrict network access to MetaGPT DataInterpreter functionality to trusted users only
  • Implement additional input validation layers in front of MetaGPT services
  • Consider temporarily disabling the DataInterpreter component if not critical to operations
  • Isolate MetaGPT deployments in network segments with enhanced monitoring

Patch Information

At the time of this publication, no official patch has been released by the vendor. The vendor was contacted about this disclosure but did not respond. Organizations should monitor the official MetaGPT repository and VulDB entry #352081 for updates regarding security patches. Until an official fix is available, implementing the workarounds below is strongly recommended.

Workarounds

  • Deploy a web application firewall (WAF) with rules to filter injection patterns targeting MetaGPT
  • Implement strict input validation and sanitization at the application perimeter
  • Use network segmentation to limit exposure of MetaGPT services to untrusted networks
  • Consider using containerization with restricted capabilities to limit impact of successful exploitation
bash
# Example: Restrict network access to MetaGPT service using iptables
# Allow only trusted internal networks to access MetaGPT port
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP

# Log suspicious connection attempts for monitoring
iptables -A INPUT -p tcp --dport 8080 -j LOG --log-prefix "MetaGPT-Blocked: "

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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