PYSEC-2026-1935

Vulnerability from pysec - Published: 2026-07-07 16:03 - Updated: 2026-07-07 17:25
VLAI
Details

Storage Performance Development Kit (SPDK) 25.05 is vulnerable to Buffer Overflow in the NVMe-oF target component in SPDK - lib/nvmf.

Impacted products
Name purl
spdk pkg:pypi/spdk

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "spdk",
        "purl": "pkg:pypi/spdk"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "25.9"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "25.5",
        "25.5.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-57275",
    "GHSA-5m5w-w2h2-fqgq"
  ],
  "details": "Storage Performance Development Kit (SPDK) 25.05 is vulnerable to Buffer Overflow in the NVMe-oF target component in SPDK - lib/nvmf.",
  "id": "PYSEC-2026-1935",
  "modified": "2026-07-07T17:25:25.330636Z",
  "published": "2026-07-07T16:03:06.069961Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-57275"
    },
    {
      "type": "WEB",
      "url": "https://github.com/spdk/spdk/commit/8981ddb1ccaf54f85d34482a5a644e075b58cb36"
    },
    {
      "type": "WEB",
      "url": "https://github.com/spdk/spdk/commit/f786c6d75f5c5162363a621b24f5449c729679c9"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/spdk/spdk"
    },
    {
      "type": "WEB",
      "url": "https://spdk.io"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/spdk"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-5m5w-w2h2-fqgq"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "SPDK is vulnerable to buffer overflow in the NVMe-oF target component"
}



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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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