GHSA-J54F-72M2-VVMR
Vulnerability from github – Published: 2024-05-01 15:30 – Updated: 2026-06-01 18:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
pstore: inode: Only d_invalidate() is needed
Unloading a modular pstore backend with records in pstorefs would trigger the dput() double-drop warning:
WARNING: CPU: 0 PID: 2569 at fs/dcache.c:762 dput.part.0+0x3f3/0x410
Using the combo of d_drop()/dput() (as mentioned in Documentation/filesystems/vfs.rst) isn't the right approach here, and leads to the reference counting problem seen above. Use d_invalidate() and update the code to not bother checking for error codes that can never happen.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-27389"
],
"database_specific": {
"cwe_ids": [
"CWE-415"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-01T13:15:51Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\npstore: inode: Only d_invalidate() is needed\n\nUnloading a modular pstore backend with records in pstorefs would\ntrigger the dput() double-drop warning:\n\n WARNING: CPU: 0 PID: 2569 at fs/dcache.c:762 dput.part.0+0x3f3/0x410\n\nUsing the combo of d_drop()/dput() (as mentioned in\nDocumentation/filesystems/vfs.rst) isn\u0027t the right approach here, and\nleads to the reference counting problem seen above. Use d_invalidate()\nand update the code to not bother checking for error codes that can\nnever happen.\n\n---",
"id": "GHSA-j54f-72m2-vvmr",
"modified": "2026-06-01T18:31:18Z",
"published": "2024-05-01T15:30:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27389"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/340682ed1932b8e3bd0bfc6c31a0c6354eb57cc6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4cdf9006fc095af71da80e9b5f48a32e991b9ed3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a43e0fc5e9134a46515de2f2f8d4100b74e50de3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cb9e802e49c24eeb3af35e9e8c04d526f35f112a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d0ee2a8adb6673382cce8a4280e1ca0849b3b783"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/db6e5e16f1ee9e3b01d2f71c7f0ba945f4bf0f4e"
}
],
"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"
}
]
}
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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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