GHSA-P877-M7M5-3QH3

Vulnerability from github – Published: 2026-05-08 15:31 – Updated: 2026-05-11 09:30
VLAI
Details

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

net/ipv6: ioam6: prevent schema length wraparound in trace fill

ioam6_fill_trace_data() stores the schema contribution to the trace length in a u8. With bit 22 enabled and the largest schema payload, sclen becomes 1 + 1020 / 4, wraps from 256 to 0, and bypasses the remaining-space check. __ioam6_fill_trace_data() then positions the write cursor without reserving the schema area but still copies the 4-byte schema header and the full schema payload, overrunning the trace buffer.

Keep sclen in an unsigned int so the remaining-space check and the write cursor calculation both see the full schema length.

Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
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{
  "affected": [],
  "aliases": [
    "CVE-2026-43341"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-08T14:16:44Z",
    "severity": "CRITICAL"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnet/ipv6: ioam6: prevent schema length wraparound in trace fill\n\nioam6_fill_trace_data() stores the schema contribution to the trace\nlength in a u8. With bit 22 enabled and the largest schema payload,\nsclen becomes 1 + 1020 / 4, wraps from 256 to 0, and bypasses the\nremaining-space check. __ioam6_fill_trace_data() then positions the\nwrite cursor without reserving the schema area but still copies the\n4-byte schema header and the full schema payload, overrunning the trace\nbuffer.\n\nKeep sclen in an unsigned int so the remaining-space check and the write\ncursor calculation both see the full schema length.",
  "id": "GHSA-p877-m7m5-3qh3",
  "modified": "2026-05-11T09:30:30Z",
  "published": "2026-05-08T15:31:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-43341"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/184d2e9db27c0f76226b5cad16fe29510a5d2280"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/5e67ba9bb531e1ec6599a82a065dea9040b9ce50"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/77695a69baca9b99d95fad09fc78c2318736604f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d1b041080086e91d3733a5438a8c51ad5d3d8e09"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d6e1c9b02d85a4f1f4ba6d68e916d9b610a3ed7d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e96d48b37708d53cbdc47f6f60b0714fc4a5f596"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/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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