GHSA-5H2V-HCWG-QFF4
Vulnerability from github – Published: 2025-12-24 12:30 – Updated: 2025-12-24 12:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
binder: fix memory leak in binder_init()
In binder_init(), the destruction of binder_alloc_shrinker_init() is not performed in the wrong path, which will cause memory leaks. So this commit introduces binder_alloc_shrinker_exit() and calls it in the wrong path to fix that.
{
"affected": [],
"aliases": [
"CVE-2023-54005"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-12-24T11:15:53Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbinder: fix memory leak in binder_init()\n\nIn binder_init(), the destruction of binder_alloc_shrinker_init() is not\nperformed in the wrong path, which will cause memory leaks. So this commit\nintroduces binder_alloc_shrinker_exit() and calls it in the wrong path to\nfix that.",
"id": "GHSA-5h2v-hcwg-qff4",
"modified": "2025-12-24T12:30:27Z",
"published": "2025-12-24T12:30:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-54005"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/03eebad96233397f951d8e9fafd82a1674a77284"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/486dd742ba186ea333664c517d6775b06b1448ca"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/adb9743d6a08778b78d62d16b4230346d3508986"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b97dad01c12169991f895de3d4f61b8115d12bab"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ceb0f8cc987fb3d25c06b9662e08a42f99651207"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d7e5e2b87f5d27469075b6326b6b358e38cd9dcb"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ee95051c0c1928051f86198bf5e554277a53b26b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f11a26633eb6d3bb24a10b1bacc4e4a9b0c6389f"
}
],
"schema_version": "1.4.0",
"severity": []
}
Loading…
Loading…
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.
Loading…
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.
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…