GHSA-J7PF-235F-JCQV

Vulnerability from github – Published: 2026-08-22 18:30 – Updated: 2026-08-25 06:31
VLAI
Details

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

vhost-scsi: Validate T10 PI scatterlist counts

When T10 PI is negotiated, vhost-scsi splits protection bytes from the data iterator before mapping the request scatterlists. A malformed request can claim protection bytes that cover or exceed the full payload length. The former leaves no data bytes to map, while the latter underflows exp_data_len before advancing the iterator. Both cases can let a zero data SGL count reach sg_alloc_table_chained(), which triggers BUG_ON(!nents).

Reject protection lengths that cover or exceed the payload before subtracting prot_bytes and advancing the iterator. Also propagate negative errors from the protection SGL calculation before calling the allocator, matching the data SGL path.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-74703"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-22T16:16:44Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nvhost-scsi: Validate T10 PI scatterlist counts\n\nWhen T10 PI is negotiated, vhost-scsi splits protection bytes from\nthe data iterator before mapping the request scatterlists. A malformed\nrequest can claim protection bytes that cover or exceed the full payload\nlength. The former leaves no data bytes to map, while the latter\nunderflows exp_data_len before advancing the iterator. Both cases can let\na zero data SGL count reach sg_alloc_table_chained(), which triggers\nBUG_ON(!nents).\n\nReject protection lengths that cover or exceed the payload before\nsubtracting prot_bytes and advancing the iterator. Also propagate\nnegative errors from the protection SGL calculation before calling the\nallocator, matching the data SGL path.",
  "id": "GHSA-j7pf-235f-jcqv",
  "modified": "2026-08-25T06:31:28Z",
  "published": "2026-08-22T18:30:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74703"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2417a498cf3fe64d06faf87e236eda98dd4f04e0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d876c493fc4b811941bfeb4c80beb2dfc4bf025e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f8fe3f8d342da750dd10361bf66009fd3072926b"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/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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