CVE-2026-47518 (GCVE-0-2026-47518)
Vulnerability from cvelistv5 – Published: 2026-09-30 15:53 – Updated: 2026-10-01 03:56
VLAI
EPSS
VEX
Summary
NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability in a secure microcontroller component, where incorrect permission assignment for a critical resource allows an attacker with privileged local access to modify protected memory that should be restricted. A successful exploit of this vulnerability might lead to code execution and escalation of privileges.
Severity
6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-30 00:00 UTC
CWE
- CWE-732 - Incorrect Permission Assignment for Critical Resource
Assigner
References
Impacted products
22 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| NVIDIA | GeForce |
Affected:
All driver versions prior to 610.60
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 610.88
|
guessed | |
| NVIDIA | GeForce |
Affected:
All driver versions prior to 616.56
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 616.92
|
guessed | |
| NVIDIA | GeForce |
Affected:
All driver versions prior to 582.78 Only GPUs based on the NVIDIA Maxwell, Volta, and Pascal GPU architectures are affected.
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 582.78
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 596.86
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 596.86
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 616.92
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 610.88
|
guessed | |
| NVIDIA | GeForce |
Affected:
All driver versions prior to 615.71.09
|
guessed | |
| NVIDIA | GeForce |
Affected:
All driver versions prior to 610.57.04
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 615.71.09
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 610.57.04
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 595.91.07
|
guessed | |
| NVIDIA | RTX, Quadro, NVS |
Affected:
All driver versions prior to 580.178.04
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 615.71.09
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 610.57.04
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 595.91.07
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 580.178.04
|
guessed | |
| NVIDIA | GeForce |
Affected:
All driver versions prior to 595.91.07
|
guessed | |
| NVIDIA | GeForce |
Affected:
All driver versions prior to 580.178.04
|
guessed |
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
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"title": "CISA ADP Vulnrichment"
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},
{
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},
{
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"url": "https://www.cve.org/CVERecord?id=CVE-2026-47518"
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},
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}
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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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