CVE-2026-67926: JeecgBoot AI Chat Module RCE Vulnerability

CVE-2026-67926 Overview

CVE-2026-67926 is a code injection vulnerability in JeecgBoot v3.9.2, a widely deployed low-code enterprise development platform. The flaw resides in the AI Chat Module and stems from unsafe handling of the files parameter. Remote, unauthenticated attackers can send crafted requests to execute arbitrary code on the underlying server. The issue is classified under CWE-94: Improper Control of Generation of Code. Successful exploitation grants full compromise of the application host, including read and write access to application data and lateral movement opportunities within the network.

Critical Impact
Unauthenticated remote attackers can execute arbitrary code on JeecgBoot v3.9.2 servers via the AI Chat Module files parameter, leading to complete system compromise.

Affected Products

JeecgBoot v3.9.2
JeecgBoot AI Chat Module
Deployments exposing the AI Chat endpoint to untrusted networks

Discovery Timeline

2026-08-17 - CVE-2026-67926 published to the National Vulnerability Database
2026-08-18 - Last updated in NVD database

Technical Details for CVE-2026-67926

Vulnerability Analysis

JeecgBoot is a Java-based low-code platform used to accelerate enterprise application development. Version 3.9.2 ships an AI Chat Module that accepts user-supplied input through a files parameter. The module fails to properly validate or sanitize this parameter before it reaches a code evaluation or template rendering context. Attackers can submit crafted payloads that the server interprets as code rather than data. Because the endpoint is reachable over the network without authentication, exploitation requires only network access to the application. Once code executes, the attacker inherits the privileges of the JeecgBoot service account and can pivot to backend databases, connected AI services, and adjacent hosts.

Root Cause

The vulnerability maps to CWE-94: Improper Control of Generation of Code. Input received through the files parameter is passed to a code generation or evaluation routine without allow-listing, encoding, or sandboxing. The AI Chat Module trusts client-supplied data that should be treated as opaque input.

Attack Vector

Exploitation occurs over the network against the AI Chat Module endpoint. No authentication or user interaction is required. An attacker crafts an HTTP request containing a malicious payload in the files parameter and sends it to a vulnerable JeecgBoot v3.9.2 instance. Refer to the GitHub Issue Discussion for technical context provided by the reporter.

// No verified public exploit code is available at this time.
// Technical details are described in the referenced GitHub issue:
// https://github.com/jeecgboot/JeecgBoot/issues/9774

Detection Methods for CVE-2026-67926

Indicators of Compromise

HTTP requests to JeecgBoot AI Chat Module endpoints containing unusually long or encoded values in the files parameter
Unexpected child processes spawned by the JeecgBoot Java process, such as shells, curl, wget, or powershell
Outbound network connections from the JeecgBoot host to unfamiliar external IP addresses shortly after AI Chat requests
New files written under the JeecgBoot working directory or temporary directories that were not created by legitimate deployments

Detection Strategies

Inspect web server and application logs for POST requests to AI Chat endpoints containing scripting keywords, template expressions, or serialized object markers in the files parameter
Deploy behavioral endpoint monitoring on JeecgBoot hosts to flag process lineage anomalies from the Java runtime
Alert on egress traffic from application servers to non-corporate destinations, especially over non-standard ports

Monitoring Recommendations

Forward JeecgBoot access logs and host process telemetry to a centralized SIEM for correlation
Baseline normal request patterns for the AI Chat Module and alert on statistical deviations in payload size or parameter entropy
Track authentication and administrative actions performed after AI Chat requests to catch post-exploitation activity

How to Mitigate CVE-2026-67926

Immediate Actions Required

Restrict network access to the JeecgBoot AI Chat Module using firewall rules or a reverse proxy allow-list until a fix is applied
Disable the AI Chat Module in configuration if it is not required for business operations
Rotate credentials, API keys, and tokens accessible to the JeecgBoot service account if compromise is suspected
Monitor the JeecgBoot GitHub repository for vendor guidance and a patched release

Patch Information

No official patch has been published for CVE-2026-67926 at the time of NVD publication. Operators should track the upstream GitHub issue for a fixed version and apply it to all JeecgBoot v3.9.2 deployments as soon as it is released.

Workarounds

Place JeecgBoot behind an authenticating reverse proxy that terminates untrusted traffic before it reaches the AI Chat endpoint
Add a web application firewall rule that blocks or sanitizes suspicious payloads in the files parameter
Run the JeecgBoot process under a low-privilege service account with restricted file system and network permissions to limit blast radius

bash

# Example nginx rule blocking requests with suspicious files parameter content
location /jmreport/ {
    if ($arg_files ~* "(script|exec|runtime|process|\\$\\{)") {
        return 403;
    }
    proxy_pass http://jeecgboot_backend;
}