CVE-2025-24814

Feb. 15, 2025, 1:15 a.m.

5.4
Medium

Description

Core creation allows users to replace "trusted" configset files with arbitrary configuration Solr instances that (1) use the "FileSystemConfigSetService" component (the default in "standalone" or "user-managed" mode), and (2) are running without authentication and authorization are vulnerable to a sort of privilege escalation wherein individual "trusted" configset files can be ignored in favor of potentially-untrusted replacements available elsewhere on the filesystem.  These replacement config files are treated as "trusted" and can use "<lib>" tags to add to Solr's classpath, which an attacker might use to load malicious code as a searchComponent or other plugin. This issue affects all Apache Solr versions up through Solr 9.7.  Users can protect against the vulnerability by enabling authentication and authorization on their Solr clusters or switching to SolrCloud (and away from "FileSystemConfigSetService").  Users are also recommended to upgrade to Solr 9.8.0, which mitigates this issue by disabling use of "<lib>" tags by default.

Product(s) Impacted

Product Versions
Apache Solr
  • ['up through 9.7']

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-250
Execution with Unnecessary Privileges
The product performs an operation at a privilege level that is higher than the minimum level required, which creates new weaknesses or amplifies the consequences of other weaknesses.

CVSS Score

5.4 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N

    View Vector String

Timeline

Published: Jan. 27, 2025, 9:15 a.m.
Last Modified: Feb. 15, 2025, 1:15 a.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security@apache.org

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.