VAR-201710-0955
Vulnerability from variot - Updated: 2025-04-20 23:23Insufficient input validation in system firmware for Intel NUC7i3BNK, NUC7i3BNH, NUC7i5BNK, NUC7i5BNH, NUC7i7BNH versions BN0049 and below allows local attackers to execute arbitrary code via manipulation of memory. Intel NUC7i3BNK , NUC7i3BNH , NUC7i5BNK , NUC7i5BNH ,and NUC7i7BNH Contains an input validation vulnerability.Information is acquired, information is falsified, and denial of service (DoS) May be in a state. IntelNUC7i3BNK and other products are CPU (Central Processing Unit) products of Intel Corporation of the United States. An attacker could exploit the vulnerability to exploit arbitrary code by manipulating memory. Intel NUC7i3BNK, etc. The following products and versions are affected: NUC7i3BNK BN0049 and earlier; NUC7i3BNH BN0049 and earlier; NUC7i5BNK BN0049 and earlier; NUC7i5BNH BN0049 and earlier; NUC7i7BNH BN0049 and earlier
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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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