FKIE_CVE-2026-45199
Vulnerability from fkie_nvd - Published: 2026-08-21 04:18 - Updated: 2026-08-25 04:18
Severity
Summary
Kernel software installed and running inside a Guest VM may post improper commands to the GPU Firmware to trigger a write of data outside the Guest's virtualised GPU memory.
Software installed and run under a Guest VM can send commands to the GPU which result in out of bounds memory accesses. These can be used to escalate privileges.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"platforms": [
"Linux",
"Android"
],
"product": "Graphics DDK",
"vendor": "Imagination Technologies",
"versions": [
{
"status": "affected",
"version": "1.18 RTM2",
"versionType": "custom"
},
{
"status": "affected",
"version": "23.2 RTM2",
"versionType": "custom"
},
{
"status": "affected",
"version": "24.2 RTM2",
"versionType": "custom"
},
{
"lessThanOrEqual": "25.3 RTM",
"status": "affected",
"version": "25.1 RTM2",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "26.1 RTM1",
"versionType": "custom"
},
{
"status": "unaffected",
"version": "26.1 RTM2",
"versionType": "custom"
}
]
}
],
"source": "367425dc-4d06-4041-9650-c2dc6aaa27ce"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Kernel software installed and running inside a Guest VM may post improper commands to the GPU Firmware to trigger a write of data outside the Guest\u0027s virtualised GPU memory.\n\n\n\nSoftware installed and run under a Guest VM can send commands to the GPU which result in out of bounds memory accesses. These can be used to escalate privileges."
}
],
"id": "CVE-2026-45199",
"lastModified": "2026-08-25T04:18:11.553",
"metrics": {
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-45199",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-24T00:00:00+00:00",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-21T04:18:02.650",
"references": [
{
"source": "367425dc-4d06-4041-9650-c2dc6aaa27ce",
"url": "https://www.imaginationtech.com/gpu-driver-vulnerabilities/"
}
],
"sourceIdentifier": "367425dc-4d06-4041-9650-c2dc6aaa27ce",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-823"
}
],
"source": "367425dc-4d06-4041-9650-c2dc6aaa27ce",
"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.
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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