NI LabVIEW up to 22.3.6/23.3.7/24.3.4/25.3.2 mgocre_SH_25_3!RevBL out-of-bounds write

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.0$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in NI LabVIEW up to 22.3.6/23.3.7/24.3.4/25.3.2. This issue affects the function mgocre_SH_25_3!RevBL. The manipulation leads to out-of-bounds write. This vulnerability is referenced as CVE-2025-64461. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in NI LabVIEW up to 22.3.6/23.3.7/24.3.4/25.3.2. This issue affects the function mgocre_SH_25_3!RevBL. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. Using CWE to declare the problem leads to CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

There is an out of bounds write vulnerability in NI LabVIEW in mgocre_SH_25_3!RevBL() when parsing a corrupted VI file. This vulnerability 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 2025 Q3 (25.3) and prior versions.

The weakness was published by Michael Heinzl. The advisory is shared at ni.com. The identification of this vulnerability is CVE-2025-64461 since 11/04/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/08/2026).

The vulnerability scanner Nessus provides a plugin with the ID 282314 (National Instruments LabVIEW 2022 < 2022 Q3 Patch 7 / 2023 < 2023 Q3 Patch 8 / 2024 Q3 Patch 5 / 20205 < 2025 Q3 Patch 3 Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Tenable (282314). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.0
VulDB Meta Temp Score: 7.0

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.8
CNA Vector: 🔒

CVSSv2info

AVACAuCIA
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Out-of-bounds write
CWE: CWE-787 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Nessus ID: 282314
Nessus Name: National Instruments LabVIEW 2022 < 2022 Q3 Patch 7 / 2023 < 2023 Q3 Patch 8 / 2024 Q3 Patch 5 / 20205 < 2025 Q3 Patch 3 Multiple Vulnerabilities

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

11/04/2025 CVE reserved
12/18/2025 +44 days Advisory disclosed
12/18/2025 +0 days VulDB entry created
01/08/2026 +21 days VulDB entry last update

Sourcesinfo

Advisory: ni.com
Researcher: Michael Heinzl
Status: Confirmed

CVE: CVE-2025-64461 (🔒)
GCVE (CVE): GCVE-0-2025-64461
GCVE (VulDB): GCVE-100-337385

Entryinfo

Created: 12/18/2025 17:20
Updated: 01/08/2026 06:26
Changes: 12/18/2025 17:20 (74), 01/08/2026 06:26 (2)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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