GHSA-2294-53W4-GCH9

Vulnerability from github – Published: 2024-07-16 12:30 – Updated: 2026-05-12 12:32
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

NFSD: Fix NFSv3 SETATTR/CREATE's handling of large file sizes

iattr::ia_size is a loff_t, so these NFSv3 procedures must be careful to deal with incoming client size values that are larger than s64_max without corrupting the value.

Silently capping the value results in storing a different value than the client passed in which is unexpected behavior, so remove the min_t() check in decode_sattr3().

Note that RFC 1813 permits only the WRITE procedure to return NFS3ERR_FBIG. We believe that NFSv3 reference implementations also return NFS3ERR_FBIG when ia_size is too large.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-48829"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-07-16T12:15:06Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nNFSD: Fix NFSv3 SETATTR/CREATE\u0027s handling of large file sizes\n\niattr::ia_size is a loff_t, so these NFSv3 procedures must be\ncareful to deal with incoming client size values that are larger\nthan s64_max without corrupting the value.\n\nSilently capping the value results in storing a different value\nthan the client passed in which is unexpected behavior, so remove\nthe min_t() check in decode_sattr3().\n\nNote that RFC 1813 permits only the WRITE procedure to return\nNFS3ERR_FBIG. We believe that NFSv3 reference implementations\nalso return NFS3ERR_FBIG when ia_size is too large.",
  "id": "GHSA-2294-53w4-gch9",
  "modified": "2026-05-12T12:32:03Z",
  "published": "2024-07-16T12:30:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-48829"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-265688.html"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-355557.html"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/37f2d2cd8eadddbbd9c7bda327a9393399b2f89b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/72c14aed6838b5d90b4dd926b6a339b34bb02e08"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a231ae6bb50e7c0a9e9efd7b0d10687f1d71b3a3"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a648fdeb7c0e17177a2280344d015dba3fbe3314"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/aa9051ddb4b378bd22e72a67bc77b9fc1482c5f0"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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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.

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