GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

GHSA-HHX5-CRR2-8G8P

Vulnerability from github – Published: 2025-06-18 12:30 – Updated: 2025-11-13 21:31
VLAI
Details

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

ext4: avoid resizing to a partial cluster size

This patch avoids an attempt to resize the filesystem to an unaligned cluster boundary. An online resize to a size that is not integral to cluster size results in the last iteration attempting to grow the fs by a negative amount, which trips a BUG_ON and leaves the fs with a corrupted in-memory superblock.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-50020"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1284"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-06-18T11:15:30Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\next4: avoid resizing to a partial cluster size\n\nThis patch avoids an attempt to resize the filesystem to an\nunaligned cluster boundary.  An online resize to a size that is not\nintegral to cluster size results in the last iteration attempting to\ngrow the fs by a negative amount, which trips a BUG_ON and leaves the fs\nwith a corrupted in-memory superblock.",
  "id": "GHSA-hhx5-crr2-8g8p",
  "modified": "2025-11-13T21:31:17Z",
  "published": "2025-06-18T12:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50020"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0082e99a9074ff88eff729c70c93454c8588d8e1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/53f62a4201be1cfc1e3c971e566888b182c3ffb0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/69cb8e9d8cd97cdf5e293b26d70a9dee3e35e6bd"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/72b850a2a996f72541172e7cf686d54a2b29bcd8"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7bdfb01fc5f6b3696728aeb527c50386e0ee09a1"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/80288883294c5b4ed18bae0d8bd9c4a12f297074"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/952b3dc02baaae6a69c71c0aca23e06741182d9a"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a6805b3dcf5cd41f2ae3a03dca43411135b99849"
    }
  ],
  "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"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…