GSD-2019-19332
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
An out-of-bounds memory write issue was found in the Linux Kernel, version 3.13 through 5.4, in the way the Linux kernel's KVM hypervisor handled the 'KVM_GET_EMULATED_CPUID' ioctl(2) request to get CPUID features emulated by the KVM hypervisor. A user or process able to access the '/dev/kvm' device could use this flaw to crash the system, resulting in a denial of service.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-19332",
"description": "An out-of-bounds memory write issue was found in the Linux Kernel, version 3.13 through 5.4, in the way the Linux kernel\u0027s KVM hypervisor handled the \u0027KVM_GET_EMULATED_CPUID\u0027 ioctl(2) request to get CPUID features emulated by the KVM hypervisor. A user or process able to access the \u0027/dev/kvm\u0027 device could use this flaw to crash the system, resulting in a denial of service.",
"id": "GSD-2019-19332",
"references": [
"https://www.suse.com/security/cve/CVE-2019-19332.html",
"https://access.redhat.com/errata/RHSA-2020:4609",
"https://access.redhat.com/errata/RHSA-2020:4431",
"https://access.redhat.com/errata/RHSA-2020:4062",
"https://access.redhat.com/errata/RHSA-2020:4060",
"https://ubuntu.com/security/CVE-2019-19332",
"https://advisories.mageia.org/CVE-2019-19332.html",
"https://alas.aws.amazon.com/cve/html/CVE-2019-19332.html",
"https://linux.oracle.com/cve/CVE-2019-19332.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "An out-of-bounds memory write issue was found in the Linux Kernel, version 3.13 through 5.4, in the way the Linux kernel\u0027s KVM hypervisor handled the \u0027KVM_GET_EMULATED_CPUID\u0027 ioctl(2) request to get CPUID features emulated by the KVM hypervisor. A user or process able to access the \u0027/dev/kvm\u0027 device could use this flaw to crash the system, resulting in a denial of service.",
"id": "GSD-2019-19332",
"modified": "2023-12-13T01:23:54.265282Z",
"schema_version": "1.4.0"
}
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}
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"impact": {
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},
"lastModifiedDate": "2023-02-12T23:37Z",
"publishedDate": "2020-01-09T15:15Z"
}
}
}
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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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