GHSA-QW69-GHQJ-2QF3
Vulnerability from github – Published: 2025-09-18 15:30 – Updated: 2025-09-18 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
ext4: check and assert if marking an no_delete evicting inode dirty
In ext4_evict_inode(), if we evicting an inode in the 'no_delete' path, it cannot be raced by another mark_inode_dirty(). If it happens, someone else may accidentally dirty it without holding inode refcount and probably cause use-after-free issues in the writeback procedure. It's indiscoverable and hard to debug, so add an WARN_ON_ONCE() to check and detect this issue in advance.
{
"affected": [],
"aliases": [
"CVE-2022-50377"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-18T14:15:36Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\next4: check and assert if marking an no_delete evicting inode dirty\n\nIn ext4_evict_inode(), if we evicting an inode in the \u0027no_delete\u0027 path,\nit cannot be raced by another mark_inode_dirty(). If it happens,\nsomeone else may accidentally dirty it without holding inode refcount\nand probably cause use-after-free issues in the writeback procedure.\nIt\u0027s indiscoverable and hard to debug, so add an WARN_ON_ONCE() to\ncheck and detect this issue in advance.",
"id": "GHSA-qw69-ghqj-2qf3",
"modified": "2025-09-18T15:30:32Z",
"published": "2025-09-18T15:30:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50377"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0c026f975d24701766cf4ac63995ead9f6d57a59"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/318cdc822c63b6e2befcfdc2088378ae6fa18def"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9020f56a3cad1c97b81c7dab2aa67027b59c8f73"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/91009e361e8cb2cbd1dc9496cb5fb4f8de3f4b11"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f1ec687ebd1bf146333955b7e209d21508c3ba9f"
}
],
"schema_version": "1.4.0",
"severity": []
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.
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