CVE-2026-24191 (GCVE-0-2026-24191)
Vulnerability from cvelistv5 – Published: 2026-05-26 17:23 – Updated: 2026-05-27 15:40
VLAI
EPSS
VEX
Summary
NVIDIA Display Driver for Windows contains a vulnerability where an attacker could cause a time-of-check time-of-use issue. A successful exploit of this vulnerability might lead to denial of service, escalation of privileges, information disclosure, data tampering, and code execution.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-26 00:00 UTC
CWE
- CWE-367 - Time-of-check Time-of-use (TOCTOU) Race Condition
Assigner
References
Impacted products
13 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| NVIDIA | GeForce |
Affected:
All driver versions prior to 596.36
|
guessed | |
| NVIDIA | GeForce |
Affected:
All driver versions prior to 582.53 Only GPUs based on the NVIDIA Maxwell, Volta, and Pascal GPU architectures are affected.
|
guessed | |
| NVIDIA | NVIDIA RTX, Quadro, NVS |
Affected:
All driver versions prior to 596.36
|
guessed | |
| NVIDIA | NVIDIA RTX, Quadro, NVS |
Affected:
All driver versions prior to 582.53
|
guessed | |
| NVIDIA | NVIDIA RTX, Quadro, NVS |
Affected:
All driver versions prior to 539.72
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 596.36
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 582.53
|
guessed | |
| NVIDIA | Tesla |
Affected:
All driver versions prior to 539.72
|
guessed | |
| NVIDIA | Guest driver |
Affected:
595.97(All versions prior to and including vGPU 20.0)
|
guessed | |
| NVIDIA | Guest driver |
Affected:
582.16(All versions prior to and including vGPU 19.4)
|
guessed | |
| NVIDIA | Guest driver |
Affected:
539.64(All versions prior to and including vGPU 16.13)
|
guessed | |
| NVIDIA | Virtual GPU Manager |
Affected:
595.94(All versions prior to and including vGPU 20.0)
|
guessed | |
| NVIDIA | Virtual GPU Manager |
Affected:
582.16(All versions prior to and including vGPU 19.4)
|
guessed |
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"defaultStatus": "unaffected",
"platforms": [
"Azure Local",
"Windows Server(R595 vGPU 20)"
],
"product": "Virtual GPU Manager",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "595.94(All versions prior to and including vGPU 20.0)"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Azure Local",
"Windows Server(R580 vGPU 19)"
],
"product": "Virtual GPU Manager",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "582.16(All versions prior to and including vGPU 19.4)"
}
]
}
],
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": true,
"type": "text/html",
"value": "NVIDIA Display Driver for Windows contains a vulnerability where an attacker could cause a time-of-check time-of-use issue. A successful exploit of this vulnerability might lead to denial of service, escalation of privileges, information disclosure, data tampering, and code execution."
}
],
"value": "NVIDIA Display Driver for Windows contains a vulnerability where an attacker could cause a time-of-check time-of-use issue. A successful exploit of this vulnerability might lead to denial of service, escalation of privileges, information disclosure, data tampering, and code execution."
}
],
"impacts": [
{
"descriptions": [
{
"lang": "en",
"value": "Denial of service, escalation of privileges, information disclosure, data tampering, code execution"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-367",
"description": "CWE-367 Time-of-check Time-of-use (TOCTOU) Race Condition",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-05-26T17:23:25.753Z",
"orgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
"shortName": "nvidia"
},
"references": [
{
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24191"
},
{
"url": "https://www.cve.org/CVERecord?id=CVE-2026-24191"
},
{
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5821"
}
],
"source": {
"discovery": "UNKNOWN"
},
"x_generator": {
"engine": "NVIDIA PSIRT"
}
}
},
"cveMetadata": {
"assignerOrgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
"assignerShortName": "nvidia",
"cveId": "CVE-2026-24191",
"datePublished": "2026-05-26T17:23:25.753Z",
"dateReserved": "2026-01-21T19:09:34.079Z",
"dateUpdated": "2026-05-26T18:36:43.495Z",
"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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