CVE-2025-22233
Java vulnerability analysis and mitigation

Overview

CVE-2025-22233 is a security vulnerability in Spring Framework affecting versions 6.2.0-6.2.6, 6.1.0-6.1.19, 6.0.0-6.0.27, and 5.3.0-5.3.42, as well as older unsupported versions. The vulnerability was discovered and reported by the TERASOLUNA Framework Development Team from NTT DATA Group Corporation and was publicly disclosed on May 15, 2025. The issue relates to the DataBinder Case Sensitive Match Exception, where there are still cases where it is possible to bypass the disallowedFields checks, despite previous fixes implemented in CVE-2024-38820 (Spring Security, NVD).

Technical details

The vulnerability stems from an issue where the previous fix (CVE-2024-38820) implemented Locale-independent, lowercase conversion for both the configured disallowedFields patterns and request parameter names, but certain bypass scenarios remained possible. The vulnerability has been assigned a CVSS v3.1 Base Score of 3.1 (LOW) with the vector string CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:N, indicating network accessibility with high attack complexity, requiring low privileges, no user interaction, and potentially resulting in low integrity impact (Spring Security).

Impact

The vulnerability primarily affects the integrity of the system with a low severity impact. While the vulnerability allows for potential bypass of disallowedFields checks, the overall impact is considered low due to the high attack complexity required and the limited scope of potential damage (NVD).

Mitigation and workarounds

Users of affected versions should upgrade to the corresponding fixed versions: 6.2.7 (OSS), 6.1.20 (OSS), 6.0.28 (Commercial), or 5.3.43 (Commercial). Additionally, it is recommended to use a dedicated model object with properties only for data binding, or use constructor binding with declarativeBinding flag turned off. The preference should be given to using allowedFields (an explicit list) over disallowedFields (Spring Blog).

Additional resources


SourceThis report was generated using AI

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