CVE-2026-0760
Vulnerability Overview
- CVE ID: CVE-2026-0760
- Affected Product: MetaGPT (Foundation Agents)
- Vulnerability Type: Unsafe Deserialization
- Attack Type: Remote Code Execution (RCE)
- Attack Vector: Network
- Authentication Required: None
- User Interaction: None
- CVSS v3.0 Base Score: 9.8 (Critical)
- Severity: Critical
- Exploitability: High
- Exploit Availability: Educational proof-of-concept techniques are publicly discussed in security research communities
Executive Summary
A critical unsafe deserialization vulnerability was identified in MetaGPT that allows a remote, unauthenticated attacker to execute arbitrary code on the target system. The issue exists in the message deserialization logic, where externally supplied serialized objects are processed without sufficient validation or restriction. When exploited, this flaw allows complete compromise of the MetaGPT service and potentially the underlying host.
Due to the low attack complexity and lack of authentication requirements, this vulnerability presents a high risk, especially for deployments exposed to untrusted networks.
Technical Description
The vulnerability is triggered during the processing of serialized message objects. The application logic accepts serialized input and reconstructs objects directly in memory. During this process, object metadata and internal instructions embedded in the serialized data may be executed automatically by the runtime.
Because deserialization is performed without enforcing a strict allow-list of safe object types, attacker-controlled data may cause execution of unintended code paths. As a result, operating system commands may be executed with the same privileges as the MetaGPT service.
This behavior is consistent with unsafe deserialization flaws, where data is treated as trusted code rather than untrusted input.
Attack Scenario
- A serialized message payload is sent to a MetaGPT message-handling endpoint.
- The payload is accepted and passed to the deserialization function.
- During object reconstruction, embedded instructions are processed.
- Arbitrary code execution occurs on the host system.
- The attacker gains the ability to run commands, access files, or establish persistence.
No authentication or user interaction is required for this sequence to occur.
Impact
If exploitation is successful:
- Full remote code execution is achieved
- System integrity is compromised
- Sensitive data accessible to the service may be exposed
- Lateral movement to other systems may occur
- AI workflows, prompts, and models may be altered or poisoned
MITRE Classification
- CWE: CWE-502 – Deserialization of Untrusted Data
- ATT&CK Techniques:
- Exploit Public-Facing Application
- Command Execution
- Persistence via Service Abuse
Proof-of-Concept Status (Educational)
- No official exploit code has been released by the vendor.
- Educational demonstrations of unsafe deserialization attacks exist in general security research.
- Attack feasibility is well understood due to the nature of the flaw.
- Active scanning for exposed MetaGPT services is considered likely after disclosure.
Detection Guidance
Recommended Log Sources
- MetaGPT application logs
- API gateway / reverse proxy logs
- Web Application Firewall (WAF) logs
- Endpoint Detection & Response (EDR) logs
- System process creation logs
- Network flow and outbound traffic logs
Indicators of Exploitation
- Unexpected deserialization errors or stack traces
- Abnormally large or binary-encoded request bodies
- MetaGPT spawning shell or scripting processes
- Outbound network connections initiated by the service
- Sudden configuration or file system changes
Detection Queries
Application Log Monitoring
Search for:
"deserialize" AND ("error" OR "exception" OR "traceback")
Process Execution (EDR / Sysmon-style)
ParentProcess = metagpt
AND ChildProcess IN (bash, sh, python, curl, wget)
Network Monitoring
HTTP POST requests
WHERE request_size > normal_baseline
AND endpoint = message_handler
Outbound Traffic Alert
Process = metagpt
AND destination_ip NOT IN approved_destinations
(Queries should be adapted to the organization’s SIEM and telemetry schema.)
Detection Rules
- Alert when MetaGPT launches a command interpreter
- Block serialized object formats from untrusted sources
- Rate-limit or restrict message endpoints
- Flag execution of network tools by the service account
Mitigation and Remediation
Primary Remediation
Upgrade to the vendor-patched release immediately.
Official Patch / Upgrade Link:
👉 https://github.com/FoundationAgents/MetaGPT/releases
Ensure the release notes explicitly mention security fixes related to deserialization or CVE-2026-0760.
Temporary Mitigations (If Patch Is Delayed)
- Restrict external access to MetaGPT endpoints
- Deploy WAF rules to block serialized payloads
- Run MetaGPT under a non-privileged service account
- Isolate the service in a hardened container or VM
- Disable message deserialization features if possible
Post-Patch Validation
- Confirm application version after upgrade
- Monitor logs for deserialization errors
- Validate that no unauthorized processes are spawned
- Review outbound network traffic patterns
- Rotate credentials accessible by the service
Incident Response Considerations
If exploitation is suspected:
- Isolate the affected host immediately
- Preserve logs and memory artifacts
- Identify persistence mechanisms
- Rotate secrets and API keys
- Perform a full integrity review before restoring service
Risk Rating
Critical – Immediate action required
This vulnerability enables full system compromise with minimal effort and no authentication. Any exposed or internet-reachable MetaGPT deployment should be considered at high risk until patched.
