GHSA-7FC4-8Q5H-8MJJ
Vulnerability from github – Published: 2025-04-01 18:30 – Updated: 2025-11-03 21:33In the Linux kernel, the following vulnerability has been resolved:
wifi: iwlwifi: limit printed string from FW file
There's no guarantee here that the file is always with a NUL-termination, so reading the string may read beyond the end of the TLV. If that's the last TLV in the file, it can perhaps even read beyond the end of the file buffer.
Fix that by limiting the print format to the size of the buffer we have.
{
"affected": [],
"aliases": [
"CVE-2025-21905"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-04-01T16:15:20Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: iwlwifi: limit printed string from FW file\n\nThere\u0027s no guarantee here that the file is always with a\nNUL-termination, so reading the string may read beyond the\nend of the TLV. If that\u0027s the last TLV in the file, it can\nperhaps even read beyond the end of the file buffer.\n\nFix that by limiting the print format to the size of the\nbuffer we have.",
"id": "GHSA-7fc4-8q5h-8mjj",
"modified": "2025-11-03T21:33:20Z",
"published": "2025-04-01T18:30:50Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-21905"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/38f0d398b6d7640d223db69df022c4a232f24774"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/47616b82f2d42ea2060334746fed9a2988d845c9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/59cdda202829d1d6a095d233386870a59aff986f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/88ed69f924638c7503644e1f8eed1e976f3ffa7a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b02f8d5a71c8571ccf77f285737c566db73ef5e5"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c0e626f2b2390472afac52dfe72b29daf9ed8e1d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e0dc2c1bef722cbf16ae557690861e5f91208129"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f265e6031d0bc4fc40c4619cb42466722b46eaa9"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00030.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00045.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H",
"type": "CVSS_V3"
}
]
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
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.
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.