Skip to main content
CVE Vulnerability Database

CVE-2026-4232: Tiandy Platform SQL Injection Flaw

CVE-2026-4232 is a SQL injection vulnerability in Tiandy Integrated Management Platform 7.17.0 affecting the userId parameter. This article covers technical details, affected versions, impact assessment, and mitigation.

Updated:

CVE-2026-4232 Overview

CVE-2026-4232 is a SQL injection vulnerability in Tiandy Integrated Management Platform version 7.17.0. The flaw resides in the /rest/user/getAuthorityByUserId REST endpoint, where the userId parameter is not properly sanitized before being incorporated into a database query. Attackers can manipulate the userId argument to inject arbitrary SQL statements over the network without authentication. The vendor was contacted prior to public disclosure but did not respond, and a working exploit has been publicly released. The vulnerability is classified under [CWE-74] (Improper Neutralization of Special Elements in Output).

Critical Impact

Unauthenticated remote attackers can inject SQL queries through the userId parameter, exposing user authority data and potentially compromising backend database integrity.

Affected Products

  • Tiandy Integrated Management Platform 7.17.0
  • REST API endpoint /rest/user/getAuthorityByUserId
  • Deployments exposing the management platform to untrusted networks

Discovery Timeline

  • 2026-03-16 - CVE-2026-4232 published to NVD
  • 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2026-4232

Vulnerability Analysis

The vulnerability affects the authority lookup endpoint of the Tiandy Integrated Management Platform. When a client issues a request to /rest/user/getAuthorityByUserId, the application accepts the userId argument and forwards it into a SQL statement without sufficient input validation or parameterized query handling. An attacker can substitute the expected identifier with crafted SQL syntax, altering the original query logic. Because the endpoint is reachable remotely and does not require prior authentication, exploitation requires only network access to the management interface. Public disclosure of working proof-of-concept material increases the likelihood of opportunistic scanning and exploitation against exposed instances.

Root Cause

The root cause is improper neutralization of special elements supplied through the userId parameter, consistent with [CWE-74]. The application concatenates user-controlled input directly into a SQL query rather than using prepared statements or strict input typing. As a result, characters such as single quotes, comments, and UNION operators are interpreted by the database engine instead of being treated as literal values.

Attack Vector

Attackers send a crafted HTTP request to the vulnerable REST endpoint with a malicious userId value. The injected SQL is executed within the context of the application database account, allowing data extraction, authentication logic manipulation, or further pivoting depending on the database privilege model. The vulnerability manifests entirely over the network and does not require user interaction. Refer to the VulDB entry #351155 and the Feishu disclosure document for additional technical details.

Detection Methods for CVE-2026-4232

Indicators of Compromise

  • HTTP requests to /rest/user/getAuthorityByUserId containing SQL meta-characters such as single quotes, UNION, SELECT, --, or /* within the userId parameter
  • Unusually long or URL-encoded values in the userId query string
  • Database error messages or stack traces returned in HTTP responses from the management platform
  • Spikes in request volume to the /rest/user/ API path from a single source address

Detection Strategies

  • Inspect web server and application logs for anomalous patterns in userId parameter values submitted to the affected endpoint
  • Deploy web application firewall (WAF) signatures that flag SQL injection payloads against REST API paths on the management platform
  • Correlate authentication and database audit logs to identify queries executed with malformed structures originating from the application service account

Monitoring Recommendations

  • Enable verbose logging on the management platform's REST API gateway and forward records to a centralized analytics platform
  • Alert on database queries returning abnormally large result sets when initiated from the management platform service account
  • Monitor outbound traffic from the management platform host for unexpected connections that could indicate post-exploitation data exfiltration

How to Mitigate CVE-2026-4232

Immediate Actions Required

  • Restrict network access to the Tiandy Integrated Management Platform to trusted administrative networks only
  • Place the management interface behind a VPN or reverse proxy enforcing authentication and request inspection
  • Review historical access logs for the /rest/user/getAuthorityByUserId endpoint to identify prior exploitation attempts

Patch Information

At the time of publication, no vendor patch has been released. According to the disclosure, the vendor was notified in advance but did not respond. Monitor the VulDB CTI Report #351155 and Tiandy's official channels for future advisories or firmware updates that address the issue.

Workarounds

  • Block external access to /rest/user/getAuthorityByUserId at the network perimeter or via reverse proxy rules until a patch is available
  • Deploy WAF rules that reject requests where the userId parameter contains non-numeric characters or SQL syntax tokens
  • Limit the database privileges of the application service account to the minimum required for normal operation, reducing the impact of successful injection
  • Apply network segmentation to isolate the management platform from general user and internet-facing network segments
bash
# Example NGINX reverse proxy rule blocking suspicious userId values
location /rest/user/getAuthorityByUserId {
    if ($arg_userId ~* "('|\"|--|;|union|select|/\*)") {
        return 403;
    }
    proxy_pass http://tiandy_backend;
}

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

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.