GHSA-3JXR-5523-52VG

Vulnerability from github – Published: 2026-06-24 18:32 – Updated: 2026-06-28 09:31
VLAI
Details

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

smb/client: fix possible infinite loop and oob read in symlink_data()

On 32-bit architectures, the infinite loop is as follows:

len = p->ErrorDataLength == 0xfffffff8 u8 *next = p->ErrorContextData + len next == p

On 32-bit architectures, the out-of-bounds read is as follows:

len = p->ErrorDataLength == 0xfffffff0 u8 next = p->ErrorContextData + len next == (u8 )p - 8

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-52967"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-24T17:17:07Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nsmb/client: fix possible infinite loop and oob read in symlink_data()\n\nOn 32-bit architectures, the infinite loop is as follows:\n\n  len = p-\u003eErrorDataLength == 0xfffffff8\n  u8 *next = p-\u003eErrorContextData + len\n  next == p\n\nOn 32-bit architectures, the out-of-bounds read is as follows:\n\n  len = p-\u003eErrorDataLength == 0xfffffff0\n  u8 *next = p-\u003eErrorContextData + len\n  next == (u8 *)p - 8",
  "id": "GHSA-3jxr-5523-52vg",
  "modified": "2026-06-28T09:31:37Z",
  "published": "2026-06-24T18:32:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-52967"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1b9331b16b0ed9414dcf7583d8134bdfeb117aae"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1cfa2d59f669db28d6292d10ff87ca6837c781b0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7d9a7f1f96cd617ee9e75bb22217c709038e26b8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/97a05b0ae9ea5ec052be2eef0f9cc7ce03501bbb"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b41598bf54b3fe528994e573df6008f8f4d0a4f4"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/cd4b9b662f0fb9aa97ee6bf9034eca76fc6cab23"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/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.

Sightings

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Nomenclature

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