CVE-2025-3938

May 23, 2025, 3:55 p.m.

6.8
Medium

Description

Missing Cryptographic Step vulnerability in Tridium Niagara Framework on Windows, Linux, QNX, Tridium Niagara Enterprise Security on Windows, Linux, QNX allows Cryptanalysis. This issue affects Niagara Framework: before 4.14.2, before 4.15.1, before 4.10.11; Niagara Enterprise Security: before 4.14.2, before 4.15.1, before 4.10.11. Tridium recommends upgrading to Niagara Framework and Enterprise Security versions 4.14.2u2, 4.15.u1, or 4.10u.11.

Product(s) Impacted

Vendor Product Versions
Tridium
  • Niagara Framework
  • Niagara Enterprise Security
  • <4.14.2, <4.15.1, <4.10.11
  • <4.14.2, <4.15.1, <4.10.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-325
Missing Cryptographic Step
The product does not implement a required step in a cryptographic algorithm, resulting in weaker encryption than advertised by the algorithm.

*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 tridium niagara_framework <4.14.2 / / / / / / /
a tridium niagara_framework <4.15.1 / / / / / / /
a tridium niagara_framework <4.10.11 / / / / / / /
a tridium niagara_enterprise_security <4.14.2 / / / / / / /
a tridium niagara_enterprise_security <4.15.1 / / / / / / /
a tridium niagara_enterprise_security <4.10.11 / / / / / / /

CVSS Score

6.8 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 22, 2025, 1:15 p.m.
Last Modified: May 23, 2025, 3:55 p.m.

Status : Awaiting Analysis

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

More info

Source

psirt@honeywell.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.