GSD-2018-10872
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A flaw was found in the way the Linux kernel handled exceptions delivered after a stack switch operation via Mov SS or Pop SS instructions. During the stack switch operation, processor does not deliver interrupts and exceptions, they are delivered once the first instruction after the stack switch is executed. An unprivileged system user could use this flaw to crash the system kernel resulting in DoS. This CVE-2018-10872 was assigned due to regression of CVE-2018-8897 in Red Hat Enterprise Linux 6.10 GA kernel. No other versions are affected by this CVE.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-10872",
"description": "A flaw was found in the way the Linux kernel handled exceptions delivered after a stack switch operation via Mov SS or Pop SS instructions. During the stack switch operation, processor does not deliver interrupts and exceptions, they are delivered once the first instruction after the stack switch is executed. An unprivileged system user could use this flaw to crash the system kernel resulting in DoS. This CVE-2018-10872 was assigned due to regression of CVE-2018-8897 in Red Hat Enterprise Linux 6.10 GA kernel. No other versions are affected by this CVE.",
"id": "GSD-2018-10872",
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"https://access.redhat.com/errata/RHSA-2018:2164",
"https://linux.oracle.com/cve/CVE-2018-10872.html"
]
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"id": "GSD-2018-10872",
"modified": "2023-12-13T01:22:41.009761Z",
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"lastModifiedDate": "2023-02-12T23:31Z",
"publishedDate": "2018-07-10T19:29Z"
}
}
}
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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.
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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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