CVE-2026-6110: MetaGPT Code Injection RCE Vulnerability

CVE-2026-6110 Overview

A code injection vulnerability has been identified in FoundationAgents MetaGPT versions up to 0.8.1. The vulnerability exists within the generate_thoughts function located in the metagpt/strategy/tot.py file, which is part of the Tree-of-Thought Solver component. This flaw allows attackers to inject and execute arbitrary code remotely, potentially compromising systems running vulnerable versions of the MetaGPT framework.

Critical Impact

Remote attackers can exploit this code injection vulnerability to execute arbitrary commands on systems running MetaGPT up to version 0.8.1, potentially leading to unauthorized access, data theft, or system compromise.

Affected Products

• FoundationAgents MetaGPT versions up to 0.8.1
• MetaGPT Tree-of-Thought Solver component
• Systems utilizing the metagpt/strategy/tot.py module

Discovery Timeline

• 2026-04-12 - CVE-2026-6110 published to NVD
• 2026-04-13 - Last updated in NVD database

Technical Details for CVE-2026-6110

Vulnerability Analysis

This vulnerability is classified as CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as an injection vulnerability. The flaw resides in the Tree-of-Thought (ToT) Solver implementation within MetaGPT, specifically in how the generate_thoughts function processes input data.

The Tree-of-Thought methodology is designed to enhance AI reasoning by exploring multiple thought paths. However, the vulnerable implementation fails to properly sanitize or validate input before processing, creating an opportunity for malicious code injection. When exploited, this allows attackers to introduce arbitrary code that gets executed within the context of the MetaGPT application.

The vulnerability is remotely exploitable without requiring authentication or user interaction, making it particularly concerning for deployments exposed to untrusted networks or user inputs.

Root Cause

The root cause of this vulnerability lies in insufficient input validation and sanitization within the generate_thoughts function in metagpt/strategy/tot.py. The function accepts and processes external input without adequately neutralizing special elements that could be interpreted as executable code. This lack of proper input handling allows attackers to craft malicious payloads that escape the intended data context and execute as code within the application.

Attack Vector

The attack can be initiated remotely over the network. An attacker can craft specially designed input that, when processed by the vulnerable generate_thoughts function, results in the execution of injected code. The attack does not require authentication or specific privileges, and no user interaction is needed for successful exploitation.

The exploitation scenario involves:

1. Identifying a MetaGPT instance using the Tree-of-Thought Solver
2. Crafting a malicious payload containing injected code
3. Submitting the payload to be processed by the generate_thoughts function
4. The injected code executes within the application context

The vulnerability mechanism involves improper handling of user-supplied input in the generate_thoughts function within metagpt/strategy/tot.py. When processing thought generation requests, the function fails to properly sanitize input data, allowing specially crafted payloads to inject and execute arbitrary code. For detailed technical analysis, refer to GitHub Issue #1933 and the associated Pull Request #1946.

Detection Methods for CVE-2026-6110

Indicators of Compromise

• Unusual process spawning or command execution originating from MetaGPT application processes
• Unexpected network connections initiated by the MetaGPT service
• Anomalous log entries showing malformed or suspicious input to the Tree-of-Thought Solver
• File system modifications or creation of unauthorized files in MetaGPT directories
• Unexpected resource consumption or performance degradation in MetaGPT instances

Detection Strategies

• Monitor application logs for suspicious input patterns targeting the generate_thoughts function
• Implement network intrusion detection rules to identify exploitation attempts against MetaGPT endpoints
• Deploy application-level monitoring to detect abnormal code execution patterns
• Use endpoint detection solutions to identify post-exploitation behaviors such as unauthorized process creation

Monitoring Recommendations

• Enable verbose logging for the MetaGPT Tree-of-Thought Solver component
• Implement real-time alerting for anomalous activity in metagpt/strategy/tot.py execution
• Deploy SentinelOne agents on systems running MetaGPT to detect and respond to exploitation attempts
• Establish baseline behavior metrics for MetaGPT processes to identify deviations

How to Mitigate CVE-2026-6110

Immediate Actions Required

• Audit all MetaGPT deployments to identify instances running version 0.8.1 or earlier
• Restrict network access to MetaGPT services to trusted sources only
• Implement input validation at the application boundary before data reaches the Tree-of-Thought Solver
• Consider temporarily disabling the Tree-of-Thought Solver functionality if not critical to operations
• Monitor systems for signs of compromise using the detection methods outlined above

Patch Information

A fix has been proposed through Pull Request #1946 on the MetaGPT GitHub repository. As noted in the CVE description, the project maintainers have not yet responded to the vulnerability report submitted through Issue #1933. Organizations should monitor the MetaGPT repository for official patches and update to a patched version as soon as one becomes available.

Workarounds

• Implement network segmentation to isolate MetaGPT services from untrusted networks
• Deploy a web application firewall (WAF) or input filtering proxy in front of MetaGPT to sanitize requests
• Apply strict input validation at the application entry points before data reaches the vulnerable component
• Run MetaGPT in a containerized or sandboxed environment to limit the impact of successful exploitation

# Example network isolation using iptables
# Restrict MetaGPT service to accept connections only from trusted networks
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP