eProsima Fast-DDS up to 2.6.10/3.3.0/3.4.0 PID_IDENTITY_TOKEN/PID_PERMISSION_TOKEN integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in eProsima Fast-DDS up to 2.6.10/3.3.0/3.4.0. The affected element is an unknown function. The manipulation of the argument PID_IDENTITY_TOKEN/PID_PERMISSION_TOKEN leads to integer overflow. This vulnerability is referenced as CVE-2025-62599. Remote exploitation of the attack is possible. No exploit is available. It is suggested to upgrade the affected component.
Details
A vulnerability was found in eProsima Fast-DDS up to 2.6.10/3.3.0/3.4.0 and classified as problematic. This issue affects an unknown code. The manipulation of the argument PID_IDENTITY_TOKEN/PID_PERMISSION_TOKEN with an unknown input leads to a integer overflow vulnerability. Using CWE to declare the problem leads to CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. Impacted is availability. The summary by CVE is:
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 readPropertySeq — are modified, an integer overflow occurs, leading to an OOM during the resize operation. Versi ons 3.4.1, 3.3.1, and 2.6.11 patch the issue.
It is possible to read the advisory at security-tracker.debian.org. The identification of this vulnerability is CVE-2025-62599 since 10/16/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 2.6.11, 3.3.1 or 3.4.1 eliminates this vulnerability. Applying the patch 354218514d32beac963ff5c306f1cf159ee37c5f is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Integer overflowCWE: CWE-190 / CWE-189
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Fast-DDS 2.6.11/3.3.1/3.4.1
Patch: 354218514d32beac963ff5c306f1cf159ee37c5f
Timeline
10/16/2025 CVE reserved02/03/2026 Advisory disclosed
02/03/2026 VulDB entry created
02/26/2026 VulDB entry last update
Sources
Product: github.comAdvisory: security-tracker.debian.org
Status: Confirmed
CVE: CVE-2025-62599 (🔒)
GCVE (CVE): GCVE-0-2025-62599
GCVE (VulDB): GCVE-100-344075
Entry
Created: 02/03/2026 21:07Updated: 02/26/2026 12:45
Changes: 02/03/2026 21:07 (69), 02/04/2026 14:32 (1), 02/26/2026 12:45 (12)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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