PatchSiren cyber security CVE debrief
CVE-2025-2632 National Instruments CVE debrief
CVE-2025-2632 is a high-severity vulnerability in National Instruments LabVIEW affecting 2025 Q1 and prior versions. CISA says an out-of-bounds write while parsing user-supplied data may allow an attacker to execute arbitrary code, and National Instruments has released patches.
- Vendor
- National Instruments
- Product
- LabVIEW
- CVSS
- HIGH 7.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2025-04-15
- Original CVE updated
- 2025-05-06
- Advisory published
- 2025-04-15
- Advisory updated
- 2025-05-06
Who should care
Organizations using National Instruments LabVIEW, especially engineering, test, automation, and industrial/OT teams that process untrusted files or external data with LabVIEW installations.
Technical summary
The advisory identifies an out-of-bounds write in LabVIEW 2025 Q1 and prior versions when parsing user-supplied data. The supplied CVSS 3.1 vector is AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H, which reflects significant impact with user interaction and local conditions in the score. CISA describes the issue as potentially enabling remote code execution and notes that vendor patches are available.
Defensive priority
High. Prioritize patching and exposure review for any LabVIEW deployment that handles external or user-controlled data, because the vulnerability can affect confidentiality, integrity, and availability.
Recommended defensive actions
- Inventory LabVIEW installations and confirm whether any system is running 2025 Q1 or earlier.
- Apply National Instruments patches referenced in the advisory as soon as operationally feasible.
- Treat all user-supplied data processed by LabVIEW as untrusted; validate and restrict inputs where possible.
- Reduce exposure of engineering workstations and OT-connected systems that use LabVIEW, following CISA ICS recommended practices.
- Review segmentation, access control, and least-privilege settings around affected systems.
- Monitor the NI and CISA advisories for any follow-up guidance or updates.
Evidence notes
Primary facts come from CISA’s CSAF advisory ICSA-25-105-06 and the supplied CVE/CVSS metadata. The advisory was initially published on 2025-04-15 and revised on 2025-05-06 to fix typos. The affected range is National Instruments LabVIEW <=2025_Q1, and the remediation section states that patches are available from National Instruments.
Sources and references
Verified primary and authoritative sources
-
CVE-2025-2632 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-2632
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2025-2632 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-2632
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-25-105-06.json
cisa_csaf
-
Source reference
Unverified legacy reference
URL: https://www.cisa.gov/news-events/ics-advisories/icsa-25-105-06
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.