Cyber Resilience

CVE-2025-3942

Tridium Niagara 4.10u10 … 4.15

Published
22 May 2025
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 4.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
EPSS Score 0.0025 17th percentile
Risk Priority 36 floored blend · peak EPSS

Summary

CVE-2025-3942 is a medium-severity Improper Output Neutralization for Logs (CWE-117) vulnerability in Tridium Niagara. Its CVSS base score is 4.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Content Injection (T1659); ranked at the 17th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Improper Output Neutralization for Logs vulnerability in Tridium Niagara Framework on Windows, Linux, QNX, Tridium Niagara Enterprise Security on Windows, Linux, QNX allows Input Data Manipulation. This issue affects Niagara Framework: before 4.14.2, before 4.15.1, before 4.10.11; Niagara Enterprise Security:…

more

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.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1059 Command and Scripting Interpreter Execution
Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries.
T1070 Indicator Removal Stealth
Adversaries may selectively delete or modify artifacts generated to reduce indications of their presence and blend in with legitimate activity.
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-3940Same product: Blackberry Qnx
CVE-2025-3939Same product: Blackberry Qnx
CVE-2025-3943Same product: Blackberry Qnx
CVE-2025-3938Same product: Blackberry Qnx
CVE-2025-3944Same product: Blackberry Qnx
CVE-2025-3937Same product: Blackberry Qnx
CVE-2024-49355Same product: Linux Linux Kernel
CVE-2026-50659Same product: Linux Linux Kernel
CVE-2025-3945Same product: Blackberry Qnx
CVE-2023-7234Shared CWE-116, CWE-117

Affected Assets

tridium
niagara
4.10u10, 4.14u1, 4.15
tridium
niagara enterprise security
4.10u10, 4.14u1, 4.15

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.1.2
  • V1.2.1
  • V1.2.3

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover missing or incorrect output neutralization when log messages are constructed from untrusted input.

Input validation reduces the chance that specially crafted data reaches log-message construction routines.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices and coding standards directly require output sanitization for logs.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Secure coding standards explicitly require correct output encoding and escaping to preserve message structure.

finds

Security testing can detect log injection flaws but does not prevent them at the source.

A.8.15 Logging partial match
degrades

Logging control directly requires proper log generation and handling, which mitigates improper output neutralization.

finds

Monitoring activities rely on trustworthy logs but do not ensure log message integrity.

prevents

Secure SDLC includes coding standards that reduce log-related weaknesses but does not specifically address logging.

prevents

Application security requirements include explicit rules for safe output handling and encoding.

References