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CVE-2025-53192: CWE-146 Improper Neutralization of Expression/Command Delimiters in Apache Software Foundation Apache Commons OGNL

0
High
VulnerabilityCVE-2025-53192cvecve-2025-53192cwe-146
Published: Mon Aug 18 2025 (08/18/2025, 20:09:31 UTC)
Source: CVE Database V5
Vendor/Project: Apache Software Foundation
Product: Apache Commons OGNL

Description

** UNSUPPORTED WHEN ASSIGNED ** Improper Neutralization of Expression/Command Delimiters vulnerability in Apache Commons OGNL. This issue affects Apache Commons OGNL: all versions. When using the API Ognl.getValue​, the OGNL engine parses and evaluates the provided expression with powerful capabilities, including accessing and invoking related methods, etc. Although OgnlRuntime attempts to restrict certain dangerous classes and methods (such as java.lang.Runtime) through a blocklist, these restrictions are not comprehensive. Attackers may be able to bypass the restrictions by leveraging class objects that are not covered by the blocklist and potentially achieve arbitrary code execution. As this project is retired, we do not plan to release a version that fixes this issue. Users are recommended to find an alternative or restrict access to the instance to trusted users. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

AI-Powered Analysis

AILast updated: 11/04/2025, 21:55:44 UTC

Technical Analysis

CVE-2025-53192 is a critical vulnerability in Apache Commons OGNL, a Java library used for parsing and evaluating Object-Graph Navigation Language expressions. The vulnerability stems from improper neutralization of expression and command delimiters (CWE-146), which allows attackers to craft malicious OGNL expressions that bypass the library's blocklist restrictions. Although OgnlRuntime attempts to block dangerous classes and methods such as java.lang.Runtime, the blocklist is incomplete, enabling attackers to leverage unblocked class objects to execute arbitrary code on the host system. This can lead to full system compromise, including unauthorized data access, modification, and denial of service. The vulnerability affects all versions of Apache Commons OGNL, which is now a retired project with no planned fixes. Exploitation requires no privileges but does require user interaction, such as submitting malicious input to an application that uses OGNL for expression evaluation. The CVSS v3.1 score of 8.8 indicates a high severity, with network attack vector, low attack complexity, no privileges required, user interaction needed, and high impact on confidentiality, integrity, and availability. Since no patches are available, users must either migrate to alternative libraries or restrict access to trusted users to mitigate risk.

Potential Impact

For European organizations, this vulnerability poses a significant risk, especially for those running legacy Java applications that rely on Apache Commons OGNL. Successful exploitation can lead to arbitrary code execution, resulting in data breaches, system manipulation, and service disruption. This can affect critical infrastructure, financial services, healthcare, and government systems that depend on vulnerable software components. The lack of vendor support and patches increases the risk exposure, as attackers may develop exploits over time. Additionally, compliance with European data protection regulations such as GDPR may be jeopardized if sensitive data is compromised. The vulnerability's network attack vector and low complexity make it feasible for remote attackers to exploit, increasing the threat landscape for European entities. Organizations that have not migrated away from this retired library or have insufficient access controls are particularly vulnerable.

Mitigation Recommendations

Given the absence of patches, European organizations should prioritize the following mitigations: 1) Identify and inventory all systems using Apache Commons OGNL to understand exposure. 2) Migrate applications to supported and actively maintained alternatives that do not use OGNL or use safer expression evaluation libraries. 3) Implement strict network segmentation and firewall rules to restrict access to vulnerable systems only to trusted users and internal networks. 4) Employ application-layer input validation and sanitization to detect and block malicious OGNL expressions. 5) Monitor logs and network traffic for suspicious activity indicative of exploitation attempts. 6) Use runtime application self-protection (RASP) or web application firewalls (WAFs) configured to detect OGNL injection patterns. 7) Educate developers and administrators about the risks of using retired and unsupported components. 8) Develop incident response plans specific to OGNL exploitation scenarios. These steps go beyond generic advice by focusing on compensating controls and migration strategies tailored to the unique challenge of an unsupported library.

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Technical Details

Data Version
5.1
Assigner Short Name
apache
Date Reserved
2025-06-27T10:05:36.733Z
Cvss Version
null
State
PUBLISHED

Threat ID: 68a38a67ad5a09ad00b1d067

Added to database: 8/18/2025, 8:17:43 PM

Last enriched: 11/4/2025, 9:55:44 PM

Last updated: 11/19/2025, 7:58:57 AM

Views: 176

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