CVE-2026-64202 in LabVIEWinfo

Summary

by MITRE • 08/25/2026

There is a memory corruption vulnerability recently discovered in NI LabVIEW that may result in information disclosure or arbitrary code execution.  Successful exploitation requires an attacker to get a user to open a specially crafted VI.  This vulnerability affects NI LabVIEW 2026 Q3 (26.3.0) and prior versions.

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Analysis

by VulDB Data Team • 08/25/2026

A critical memory corruption vulnerability has been identified within National Instruments' LabVIEW software, specifically impacting version 2026 Q3 release 26.3.0 as well as all preceding iterations of the platform. This flaw resides in the core processing logic responsible for handling Virtual Instrument files, which are the native project and source code format for the graphical programming environment used extensively in industrial automation, test systems, and scientific research applications. The nature of this vulnerability suggests a failure in proper memory management during the parsing or execution phase of these specialized file structures, leading to conditions where the application writes data beyond allocated buffer boundaries or accesses freed memory regions. Such errors are particularly dangerous because they can destabilize the process state in ways that allow an attacker to manipulate control flow or read sensitive information from adjacent memory spaces.

The technical mechanism behind this flaw likely involves improper validation of input parameters within the VI file parser, allowing a specially crafted malicious file to trigger heap overflow or use-after-free conditions when loaded into the LabVIEW runtime environment. When a user opens such a compromised Virtual Instrument, the application attempts to interpret its contents without sufficient bounds checking or type safety verification. This lack of rigorous sanitization enables an attacker to inject shellcode or overwrite critical function pointers within the process memory space. Depending on the specific exploitation technique employed and the operating system protections in place, this could result in arbitrary code execution with the privileges of the currently logged-in user. Alternatively, if direct code execution is mitigated by security features such as Data Execution Prevention or Address Space Layout Randomization, the vulnerability may still be leveraged for information disclosure, potentially exposing credentials, cryptographic keys, or proprietary intellectual property stored within the application's memory footprint.

From an operational perspective, this vulnerability poses a significant risk to organizations relying on LabVIEW for mission-critical infrastructure and sensitive data processing environments. Since exploitation requires social engineering tactics—specifically, convincing a target user to open a maliciously crafted VI file—the attack vector aligns with common phishing campaigns or supply chain compromise scenarios where trusted-looking files are distributed via email or removable media. The impact extends beyond individual system compromise; in industrial control systems or laboratory settings, successful exploitation could lead to unauthorized access to connected hardware devices, manipulation of experimental data, or disruption of automated processes. Given the widespread adoption of LabVIEW across engineering disciplines, the potential blast radius is considerable if attackers target high-value entities such as defense contractors, pharmaceutical companies, or critical energy infrastructure operators who utilize these tools for design and monitoring purposes.

To mitigate this risk, immediate action should be taken to update all instances of NI LabVIEW to version 26.3.1 or later, where the vendor has presumably implemented patches addressing the memory handling deficiencies. In environments where patching is not immediately feasible, administrators should enforce strict application whitelisting policies that prevent unauthorized executables from running and restrict user permissions to limit potential damage in case of compromise. Additionally, implementing network segmentation can help isolate systems running LabVIEW from untrusted networks, reducing the likelihood of exposure to malicious files distributed over email or web downloads. Security awareness training is also essential to educate users on recognizing suspicious attachments and verifying the source of Virtual Instrument files before opening them. Monitoring for anomalous process behavior, such as unexpected memory allocation patterns or attempts to spawn child processes from LabVIEW instances, can provide early detection indicators for potential exploitation attempts in real-time.

This vulnerability maps directly to Common Weakness Enumeration categories related to improper input validation and buffer overflows, reflecting a classic class of software defects that persist due to the complexity of managing dynamic memory in legacy codebases. From an adversary tactics perspective, it aligns with techniques involving malicious file creation for initial access and potential privilege escalation through local exploitation methods. Organizations must treat this not merely as a product defect but as a critical security incident requiring coordinated response efforts across IT operations, engineering teams, and cybersecurity departments to ensure comprehensive remediation and resilience against future similar threats targeting specialized engineering software ecosystems.

Responsible

NI

Reservation

07/19/2026

Disclosure

08/25/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

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