CVE-2025-62600

Feb. 4, 2026, 4:33 p.m.

1.7
Low

Description

Fast DDS is a C++ implementation of the DDS (Data Distribution Service) standard of the OMG (Object Management Group ). Prior to versions 3.4.1, 3.3.1, and 2.6.11, when the security mode is enabled, modifying the DATA Submessage within an SPDP packet sent by a publisher causes an Out-Of-Memory (OOM) condition, resulting in remote termination of Fast-DDS. If t he fields of PID_IDENTITY_TOKEN or PID_PERMISSION_TOKEN in the DATA Submessage — specifically by tampering with the length field in readBinaryPropertySeq — are modified, an integer overflow occurs, leading to an OOM during the resize operation. Versions 3.4.1, 3.3.1, and 2.6.11 patch the issue.

Product(s) Impacted

Vendor Product Versions
Eclipse
  • Fast Dds
  • <3.4.1, <3.3.1, <2.6.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-125
Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer.

*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 eclipse fast_dds <3.4.1 / / / / / / /
a eclipse fast_dds <3.3.1 / / / / / / /
a eclipse fast_dds <2.6.11 / / / / / / /

CVSS Score

1.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: LOW
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: Feb. 3, 2026, 7:16 p.m.
Last Modified: Feb. 4, 2026, 4:33 p.m.

Status : Awaiting Analysis

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

More info

*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.