CVE-2025-24807

Feb. 21, 2025, 3:26 p.m.

7.1
High

Description

eprosima Fast DDS is a C++ implementation of the DDS (Data Distribution Service) standard of the OMG (Object Management Group). Prior to versions 2.6.10, 2.10.7, 2.14.5, 3.0.2, 3.1.2, and 3.2.0, per design, PermissionsCA is not full chain validated, nor is the expiration date validated. Access control plugin validates only the S/MIME signature which causes an expired PermissionsCA to be taken as valid. Even though this issue is responsible for allowing `governance/permissions` from an expired PermissionsCA and having the system crash when PermissionsCA is not self-signed and contains the full-chain, the impact is low. Versions 2.6.10, 2.10.7, 2.14.5, 3.0.2, 3.1.2, and 3.2.0 contain a fix for the issue.

Product(s) Impacted

Vendor Product Versions
Eprosima
  • Fast Dds
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-345
Insufficient Verification of Data Authenticity
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a eprosima fast_dds / / / / / / / /
a eprosima fast_dds / / / / / / / /
a eprosima fast_dds / / / / / / / /
a eprosima fast_dds / / / / / / / /
a eprosima fast_dds / / / / / / / /

CVSS Score

7.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Feb. 11, 2025, 4:15 p.m.
Last Modified: Feb. 21, 2025, 3:26 p.m.

Status : Analyzed

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

More info

Source

security-advisories@github.com

*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.