CVE-2025-7361 (GCVE-0-2025-7361)
Vulnerability from cvelistv5 – Published: 2025-07-29 21:19 – Updated: 2026-02-26 17:50
VLAI
EPSS
VEX
Title
Code Injection Vulnerability in NI LabVIEW when using CIN nodes
Summary
A code injection vulnerability due to an improper initialization check exists in NI LabVIEW that may result in arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted VI using a CIN node. This vulnerability affects 32-bit NI LabVIEW 2025 Q1 and prior versions. LabVIEW 64-bit versions do not support CIN nodes and are not affected.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-02 03:55 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
Impacted products
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"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94 Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-07-29T21:19:28.118Z",
"orgId": "bca5b2e8-03a4-4781-b4ca-c6a078c0bfd4",
"shortName": "NI"
},
"references": [
{
"url": "https://www.ni.com/en/support/security/available-critical-and-security-updates-for-ni-software/code-injection-vulnerability-in-ni-labview-using-cin-nodes.html"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Code Injection Vulnerability in NI LabVIEW when using CIN nodes",
"x_generator": {
"engine": "Vulnogram 0.2.0"
}
}
},
"cveMetadata": {
"assignerOrgId": "bca5b2e8-03a4-4781-b4ca-c6a078c0bfd4",
"assignerShortName": "NI",
"cveId": "CVE-2025-7361",
"datePublished": "2025-07-29T21:19:28.118Z",
"dateReserved": "2025-07-08T16:56:14.380Z",
"dateUpdated": "2026-02-26T17:50:11.978Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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