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high advisory

JeecgBoot AI Chat Module Authentication Bypass Vulnerability

JeecgBoot versions 3.9.0 and 3.9.1 are vulnerable to a remote unauthenticated bypass in the AI Chat Module, specifically affecting the JeecgBizToolsProvider.java file, potentially allowing unauthorized access.

A critical authentication bypass vulnerability has been identified in JeecgBoot, a low-code development platform, affecting versions 3.9.0 and 3.9.1. The vulnerability resides within the AI Chat Module, specifically impacting the jeecg-boot/jeecg-module-system/jeecg-system-biz/src/main/java/org/jeecg/modules/airag/JeecgBizToolsProvider.java file. An attacker can exploit this flaw remotely to bypass authentication mechanisms, potentially gaining unauthorized access to sensitive functionalities or data. The identified patch is b7c9aeba7aefda9e008ea8fe4fc3daf08d0c5b39/2c1cc88b8d983868df8c520a343d6ff4369d9e59. The project has addressed the issue with a commit that will be included in the next official release, urging users to apply the patch.

Attack Chain

  1. The attacker identifies a JeecgBoot instance running versions 3.9.0 or 3.9.1 with the AI Chat Module enabled.
  2. The attacker crafts a malicious HTTP request targeting the vulnerable JeecgBizToolsProvider.java component.
  3. This request exploits the authentication bypass vulnerability, likely by manipulating specific parameters or headers.
  4. The application fails to properly validate the attacker’s identity due to the missing authentication check.
  5. The attacker gains unauthorized access to the AI Chat Module’s functionalities.
  6. Depending on the module’s capabilities, the attacker could potentially access user data or execute arbitrary code within the context of the application.
  7. The attacker leverages the compromised AI Chat Module to escalate privileges within the JeecgBoot application.

Impact

Successful exploitation of this vulnerability allows unauthenticated attackers to gain unauthorized access to the AI Chat Module in vulnerable JeecgBoot instances. The impact could range from data breaches and unauthorized access to sensitive information to complete system compromise, depending on the permissions and functionality exposed through the AI Chat Module. While the number of affected instances is currently unknown, JeecgBoot’s popularity suggests a potentially widespread risk.

Recommendation

  • Apply the patch b7c9aeba7aefda9e008ea8fe4fc3daf08d0c5b39/2c1cc88b8d983868df8c520a343d6ff4369d9e59 to the vulnerable JeecgBizToolsProvider.java file immediately.
  • Monitor web server logs for suspicious requests targeting the AI Chat Module endpoints, specifically JeecgBizToolsProvider.java, using the provided Sigma rule.
  • Upgrade to the next official release of JeecgBoot containing the fix for CVE-2026-5616 once it becomes available.

Detection coverage 2

JeecgBoot AI Chat Module Authentication Bypass Attempt

high

Detects potential attempts to exploit the authentication bypass vulnerability in the JeecgBoot AI Chat Module by monitoring requests to the vulnerable JeecgBizToolsProvider.java file.

sigma tactics: initial_access techniques: T1190 sources: webserver, linux

JeecgBoot AI Chat Module Abnormal HTTP Status Code

medium

Detects suspicious activity by monitoring HTTP status codes returned when accessing the JeecgBoot AI Chat Module, indicating a potential error or exploit attempt.

sigma tactics: initial_access techniques: T1190 sources: webserver, linux

Detection queries are kept inside the platform. Get full rules →