FKIE_CVE-2025-33220
Vulnerability from fkie_nvd - Published: 2026-01-28 18:16 - Updated: 2026-06-17 09:13
Severity
Summary
NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause heap memory access after the memory is freed. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service, or information disclosure.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R590)"
],
"product": "GeForce",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 590.48.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R580)"
],
"product": "GeForce",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 580.126.09"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R570)"
],
"product": "GeForce",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 570.211.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R535)"
],
"product": "GeForce",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 535.288.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R590)"
],
"product": "RTX PRO, RTX, Quadro",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 590.48.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R580)"
],
"product": "RTX PRO, RTX, Quadro",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 580.126.09"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R570)"
],
"product": "RTX PRO, RTX, Quadro",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 570.211.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R535)"
],
"product": "RTX PRO, RTX, Quadro",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 535.288.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R590)"
],
"product": "Tesla",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 590.48.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R580)"
],
"product": "Tesla",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 580.126.09"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R570)"
],
"product": "Tesla",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 570.211.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"Linux(R535)"
],
"product": "Tesla",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All driver versions prior to 535.288.01"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"XenServer",
"VMware vSphere",
"Red Hat Enterprise Linux KVM",
"Ubuntu(vGPU 19)"
],
"product": "Virtual GPU Manager",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "580.105.06(All versions prior to and including vGPU software 19.3)"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"XenServer",
"VMware vSphere",
"Red Hat Enterprise Linux KVM",
"Ubuntu(vGPU 18)"
],
"product": "Virtual GPU Manager",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "570.195.02(All versions prior to and including vGPU software 18.5)"
}
]
},
{
"defaultStatus": "unaffected",
"platforms": [
"XenServer",
"VMware vSphere",
"Red Hat Enterprise Linux KVM",
"Ubuntu(vGPU 16)"
],
"product": "Virtual GPU Manager",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "535.274.03(All versions prior to and including vGPU software 16.13)"
}
]
}
],
"source": "psirt@nvidia.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager, where a malicious guest could cause heap memory access after the memory is freed. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service, or information disclosure."
},
{
"lang": "es",
"value": "El software NVIDIA vGPU contiene una vulnerabilidad en el Virtual GPU Manager, en el que un invitado malicioso podr\u00eda lograr acceder a la memoria del mont\u00edculo despu\u00e9s de que la memoria ha sido liberada. Si la vulnerabilidad se explota con \u00e9xito se podr\u00eda ejecutar c\u00f3digo, escalar privilegios, manipular datos, realizar denegaciones de servicio o revelar informaci\u00f3n."
}
],
"id": "CVE-2025-33220",
"lastModified": "2026-06-17T09:13:15.623",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "psirt@nvidia.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-33220",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-01-29T04:55:54.370394Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-01-28T18:16:48.857",
"references": [
{
"source": "psirt@nvidia.com",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-33220"
},
{
"source": "psirt@nvidia.com",
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5747"
},
{
"source": "psirt@nvidia.com",
"url": "https://www.cve.org/CVERecord?id=CVE-2025-33220"
}
],
"sourceIdentifier": "psirt@nvidia.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-416"
}
],
"source": "psirt@nvidia.com",
"type": "Secondary"
}
]
}
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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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