CVE-2025-3941
Tridium Niagara 4.10u10 … 4.15
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:NSummary
CVE-2025-3941 is a medium-severity Improper Handling of Windows ::DATA Alternate Data Stream (CWE-69) vulnerability in Tridium Niagara. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Fileless Storage (T1027.011); ranked at the 39th 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 AC-3 (Access Enforcement) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-16126
Vulnerability Data
Improper Handling of Windows ::DATA Alternate Data Stream vulnerability in Tridium Niagara Framework on Windows, Tridium Niagara Enterprise Security on Windows allows Input Data Manipulation. This issue affects Niagara Framework: before 4.14.2, before 4.15.1, before 4.10.11; Niagara Enterprise Security: before…
more
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
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Access enforcement that recognizes all NTFS file access methods will block unauthorized use of ::$DATA streams.
Information-flow rules applied at the file-system level can treat ADS contents as distinct flows that must be authorized.
Review of file-access audit records can reveal creation or use of alternate data streams after the fact.
System monitoring configured to watch for ADS-specific file operations can surface hidden-stream activity.
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.
Monitoring of runtime data and file activity directly detects or blocks hidden ADS usage.
Secure-development practices directly prevent incorrect name/reference resolution bugs during coding.
Behavioral monitoring of technology usage may surface ADS anomalies as side effects.
Enforced authorization boundaries limit damage from an incorrectly resolved reference.
Logical segmentation and access controls reduce the chance an out-of-sphere resolution succeeds.
Hardened configuration baselines can constrain allowable name-to-resource mappings.
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.
Security testing can detect incorrect name or reference resolution through fuzzing and negative test cases.
Logging of file-system events can record ADS access attempts, aiding detection, but does not prevent the weakness itself.
Monitoring activities can flag anomalous ADS usage, providing partial mitigation through detection rather than prevention.
Network segmentation and routing policies reduce the chance that a mis-resolved name leads to an unintended external resource.
Segregated networks limit the blast radius when a name or reference resolves outside the intended control sphere.
Secure SDLC practices include design reviews that can catch incorrect name or reference handling before deployment.