VAR-201703-0962
Vulnerability from variot - Updated: 2025-04-20 23:27An exploitable memory corruption vulnerability exists in the LvVariantUnflatten functionality in 64-bit versions of LabVIEW before 2015 SP1 f7 Patch and 2016 before f2 Patch. A specially crafted VI file can cause a user controlled value to be used as a loop terminator resulting in internal heap corruption. An attacker controlled VI file can be used to trigger this vulnerability, exploitation could lead to remote code execution. LabVIEW Contains a buffer error vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) An attack may be carried out. Ni LabVIEW is prone to a memory corruption vulnerability. Successfully exploiting this issue will allow the attacker to execute arbitrary code within the context of the system. Failed exploit attempts will result in a denial-of-service condition. LabVIEW 16.0.0.49152 is vulnerable; other versions may also be affected
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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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