GSD-2021-47168
Vulnerability from gsd - Updated: 2024-04-03 05:03Details
In the Linux kernel, the following vulnerability has been resolved:
NFS: fix an incorrect limit in filelayout_decode_layout()
The "sizeof(struct nfs_fh)" is two bytes too large and could lead to
memory corruption. It should be NFS_MAXFHSIZE because that's the size
of the ->data[] buffer.
I reversed the size of the arguments to put the variable on the left.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nNFS: fix an incorrect limit in filelayout_decode_layout()\n\nThe \"sizeof(struct nfs_fh)\" is two bytes too large and could lead to\nmemory corruption. It should be NFS_MAXFHSIZE because that\u0027s the size\nof the -\u003edata[] buffer.\n\nI reversed the size of the arguments to put the variable on the left.",
"id": "GSD-2021-47168",
"modified": "2024-04-03T05:03:54.964049Z",
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"value": "In the Linux kernel, the following vulnerability has been resolved:\n\nNFS: fix an incorrect limit in filelayout_decode_layout()\n\nThe \"sizeof(struct nfs_fh)\" is two bytes too large and could lead to\nmemory corruption. It should be NFS_MAXFHSIZE because that\u0027s the size\nof the -\u003edata[] buffer.\n\nI reversed the size of the arguments to put the variable on the left."
},
{
"lang": "es",
"value": "En el kernel de Linux, se ha resuelto la siguiente vulnerabilidad: NFS: corrige un l\u00edmite incorrecto en filelayout_decode_layout() El \"sizeof(struct nfs_fh)\" es dos bytes demasiado grande y podr\u00eda provocar da\u00f1os en la memoria. Deber\u00eda ser NFS_MAXFHSIZE porque ese es el tama\u00f1o del b\u00fafer -\u0026gt;datos[]. Invert\u00ed el tama\u00f1o de los argumentos para poner la variable a la izquierda."
}
],
"id": "CVE-2021-47168",
"lastModified": "2024-03-25T13:47:14.087",
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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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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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