CVE-2025-53192

** 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.

Weakness

The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could be interpreted as expression or command delimiters when they are sent to a downstream component.

Affected Software

Potential Mitigations

• Assume all input is malicious. Use an “accept known good” input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
• When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, “boat” may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as “red” or “blue.”
• Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code’s environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/15.html
• https://cwe.mitre.org/data/definitions/6.html

References

• https://lists.apache.org/thread/2gj8tjl6vz949nnp3yxz3okm9xz2k7sp