CVE-2024-0071 (GCVE-0-2024-0071)
Vulnerability from cvelistv5 – Published: 2024-03-27 21:52 – Updated: 2025-11-04 18:22
VLAI
EPSS
VEX
Title
CVE
Summary
NVIDIA GPU Display Driver for Windows contains a vulnerability in the user mode layer, where an unprivileged regular user can cause an out-of-bounds write. A successful exploit of this vulnerability may lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-03-29 04:00 UTC
CWE
Assigner
References
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| nvidia | GPU Display driver, vGPU driver, Cloud Gaming driver |
Affected:
All versions prior to and including 16.3, 13.9, and all versions prior to and including the January 2024 release
|
guessed | |
| nvidia | geforce |
Affected:
0 , < 551.61
(custom)
Affected: 0 , < 474.89 (custom) cpe:2.3:a:nvidia:geforce:-:*:*:*:*:*:*:* |
||
| nvidia | studio |
Affected:
0 , < 551.61
(custom)
cpe:2.3:a:nvidia:studio:-:*:*:*:*:*:*:* |
||
| nvidia | tesla |
Affected:
0 , < 551.61
(custom)
Affected: 0 , < 538.33 (custom) Affected: 0 , < 474.82 (custom) cpe:2.3:a:nvidia:tesla:-:*:*:*:*:*:*:* |
||
| nvidia | quadro |
Affected:
0 , < 551.61
(custom)
Affected: 0 , < 538.33 (custom) Affected: 0 , < 474.82 (custom) cpe:2.3:a:nvidia:quadro:-:*:*:*:*:*:*:* |
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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
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
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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.
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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.