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CVE-2025-64461 National Instruments CVE debrief

National Instruments LabVIEW contains an out-of-bounds write vulnerability that can be triggered when a user opens a specially crafted VI (Virtual Instrument) file. This memory corruption flaw may allow an attacker to execute arbitrary code with the privileges of the user running LabVIEW. The attack requires local access in the sense that the attacker must convince a user to open a malicious file, but does not require elevated privileges or complex interaction. The vulnerability affects multiple supported versions of LabVIEW from 2022 through 2025, with LabVIEW 2021 noted as no longer in mainstream support. National Instruments has released patched versions for all supported releases.

Vendor
National Instruments
Product
LabVIEW
CVSS
HIGH 7.8
CISA KEV
Not listed in stored evidence
Original CVE published
2025-12-18
Original CVE updated
2025-12-18
Advisory published
2025-12-18
Advisory updated
2025-12-18

Who should care

Organizations using National Instruments LabVIEW in engineering, test, measurement, and industrial control applications, particularly those in operational technology (OT) environments where LabVIEW is deployed for data acquisition and control systems. Security teams responsible for software supply chain and file-based attack vectors should prioritize patching.

Technical summary

Out-of-bounds write in LabVIEW VI file parsing

Defensive priority

HIGH

Recommended defensive actions

  • Upgrade to vendor-provided patched versions: LabVIEW 2025 Q3 Patch 3 or later, LabVIEW 2024 Q3 Patch 5 or later, LabVIEW 2023 Q3 Patch 8 or later, or LabVIEW 2022 Q3 Patch 7 or later via NI Package Manager or Software
  • Implement application whitelisting and execution controls to prevent unauthorized LabVIEW file execution
  • Train users to recognize and avoid opening untrusted VI files from unknown sources
  • Consider network segmentation for systems running LabVIEW in operational technology environments
  • Review and apply CISA ICS recommended practices for defense-in-depth strategies

Evidence notes

CVE published 2025-12-18 per CISA CSAF advisory ICSA-25-352-03. CVSS 3.1 score 7.8 (HIGH) with vector AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. Attack vector is local, requiring user interaction to open a crafted VI file.

Sources and references

Verified primary and authoritative sources

  • CVE-2025-64461 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2025-64461

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2025-64461 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2025-64461

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

  • Source item URL

    Unverified legacy reference

    URL: https://raw.githubusercontent.com/cisagov/CSAF/develop/csaf_files/OT/white/2025/icsa-25-352-03.json

    cisa_csaf

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/news-events/ics-advisories/icsa-25-352-03

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/uscert/ics/alerts/ICS-ALERT-10-301-01

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/resources-tools/resources/ics-recommended-practices

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/sites/default/files/publications/Cybersecurity_Best_Practices_for_Industrial_Control_Systems.pdf

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/topics/industrial-control-systems

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/uscert/sites/default/files/publications/emailscams0905.pdf

    Reference

  • Source reference

    Unverified legacy reference

    URL: https://www.cisa.gov/uscert/ncas/tips/ST04-014

    Reference

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.